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CN105844046A - Complex terrain safety degree assessment method based on safety factors - Google Patents

Complex terrain safety degree assessment method based on safety factors Download PDF

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CN105844046A
CN105844046A CN201610218860.1A CN201610218860A CN105844046A CN 105844046 A CN105844046 A CN 105844046A CN 201610218860 A CN201610218860 A CN 201610218860A CN 105844046 A CN105844046 A CN 105844046A
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崔平远
葛丹桐
高艾
于正湜
朱圣英
徐瑞
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Beijing Institute of Technology BIT
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Abstract

本发明涉及一种复杂地形安全度评估方法,尤其涉及一种基于安全因子的复杂地形安全度评估方法,属于深空探测技术领域。一种基于安全因子的复杂地形安全度评估方法,通过提出安全因子的概念,并将之具体化后应用在复杂地形安全度评估问题中,为复杂地形着陆任务安全性的考察提供了一种量化方法,进一步将评估结果进行等级划分,得到复杂地形的安全度。通过对安全因子具体形式的调整,该方法可被广泛应用到各类行星着陆任务的前期任务规划设计以及任务执行过程中,起到规避障碍、提高着陆性能、降低失败风险等作用。

The invention relates to a method for evaluating the safety degree of complex terrain, in particular to a method for evaluating the safety degree of complex terrain based on safety factors, and belongs to the technical field of deep space exploration. A safety factor-based safety evaluation method for complex terrain, by proposing the concept of safety factor and applying it to the evaluation of complex terrain safety, it provides a quantitative method for the investigation of the safety of complex terrain landing tasks method, and further classify the evaluation results to obtain the safety degree of complex terrain. By adjusting the specific form of the safety factor, this method can be widely applied to the pre-mission planning and design of various planetary landing missions and the mission execution process to avoid obstacles, improve landing performance, and reduce failure risks.

Description

一种基于安全因子的复杂地形安全度评估方法A safety factor-based safety evaluation method for complex terrain

技术领域technical field

本发明涉及一种复杂地形安全度评估方法,尤其涉及一种基于安全因子的复杂地形安全度评估方法,属于深空探测技术领域。The invention relates to a method for evaluating the safety degree of complex terrain, in particular to a method for evaluating the safety degree of complex terrain based on safety factors, and belongs to the technical field of deep space exploration.

背景技术Background technique

未来行星探测任务要求探测器着陆在具有科学价值的区域,这样的区域往往地形复杂,对着陆精度及着陆安全性提出了极大的挑战。为了解决这一问题,在任务的设计阶段以及任务的执行阶段,需要对目标天体的候选着陆区进行技术分析与评估,得到其中适宜着陆的区域,为之后的着陆工作提供参考。目前,国内外学者已提出若干综合评估着陆区及着陆点的方法,这些方法大多内容分散,形式各异。为了完善统一已有方法,需要提出一种综合考虑多种因素的指标来满足不同行星着陆任务的需求,对行星表面复杂地形的安全度进行合理量化,从而当着陆对象或环境改变时,仍能较好完成对复杂地形安全度的评估工作,分析得到着陆在不同地方的危险性,提高任务的安全性与成功率。Future planetary exploration missions require probes to land in areas of scientific value. Such areas often have complex terrain, which poses great challenges to landing accuracy and landing safety. In order to solve this problem, in the design phase of the mission and the execution phase of the mission, it is necessary to conduct technical analysis and evaluation of the candidate landing areas of the target celestial body to obtain the suitable landing areas and provide reference for the subsequent landing work. At present, scholars at home and abroad have proposed a number of methods for comprehensively evaluating landing areas and landing sites. Most of these methods are scattered in content and in different forms. In order to perfect and unify the existing methods, it is necessary to propose an index that comprehensively considers multiple factors to meet the needs of different planetary landing missions, and to reasonably quantify the safety of complex terrain on the planetary surface, so that when the landing object or environment changes, it can still Completed the evaluation of the safety of complex terrain, analyzed the dangers of landing in different places, and improved the safety and success rate of missions.

发明内容Contents of the invention

本发明的目的是提供一种基于安全因子的复杂地形安全度评估方法,该方法通过提出安全因子的概念,并将之应用在复杂地形安全度评估问题中,为复杂地形着陆任务安全性的考察提供了一种量化方法,进一步将评估结果进行等级划分,得到复杂地形的安全度。The purpose of this invention is to provide a kind of complex terrain safety evaluation method based on safety factor, this method is by proposing the concept of safety factor, and it is applied in complex terrain safety evaluation problem, is the investigation of complex terrain landing task security A quantitative method is provided to further classify the evaluation results to obtain the safety degree of complex terrain.

本发明的目的是通过下述技术方案实现的。The purpose of the present invention is achieved through the following technical solutions.

一种基于安全因子的复杂地形安全度评估方法,包括如下步骤:A safety factor-based safety evaluation method for complex terrain, comprising the following steps:

步骤一、确定具体化的安全因子表达式。安全因子由若干因素指标通过加权得到,结合任务需求及探测目标特点,选取需要进行评估的因素指标、采用的函数形式以及加权方式,得到具体化的安全因子表达式。Step 1. Determine the concrete safety factor expression. The safety factor is obtained by weighting several factor indicators. Combined with the task requirements and the characteristics of the detection target, the factor indicators that need to be evaluated, the functional form and the weighting method are selected to obtain a specific expression of the safety factor.

从安全角度出发,提出安全因子(Safety Index,简称SI)的概念,将其作为一个普适评估标准,用于对复杂地形进行量化分析,其定义为From the perspective of safety, the concept of Safety Index (SI) is proposed as a universal evaluation standard for quantitative analysis of complex terrain, which is defined as

SS II == ΔΔ Ff (( ff aa cc tt oo rr 11 ,, ff aa cc tt oo rr 2...2... ff aa cc tt oo rr NN )) -- -- -- (( 11 ))

安全因子取值越小,该区域就越安全。安全因子中的因素指标(factor1,factor2...factorN)主要包括:地形情况、着陆精度、着陆速度及姿态、燃耗、误差及环境干扰。每种因素指标所采用的具体函数形式既可以是离散函数,也可以是在有限范围内变化的连续函数。加权方式根据每种因素指标对任务成败的重要程度来决定,若认为所选因素对任务影响相近、不分上下,可对每部分因素指标赋予相同权值;若某一项或某几项因素对任务成败影响更大,则可通过加大该因素指标的权值,增加该因素在分析结果中所占的比重。The smaller the value of the safety factor, the safer the area. The factor indicators (factor1, factor2...factorN) in the safety factor mainly include: terrain conditions, landing accuracy, landing speed and attitude, fuel consumption, error and environmental interference. The specific function form adopted by each factor index can be either a discrete function or a continuous function changing within a limited range. The weighting method is determined according to the importance of each factor index to the success or failure of the task. If the selected factors are considered to have similar impact on the task and are equally weighted, each part of the factor index can be given the same weight; if one or several factors If it has a greater impact on the success or failure of the task, the weight of the factor index can be increased to increase the proportion of the factor in the analysis results.

考虑上述因素指标、采用的函数形式和加权方式的情况下,得到一个具体化的安全因子;Considering the above factor indicators, the function form and the weighting method, a specific safety factor is obtained;

步骤二、评估复杂地形安全度。根据步骤一得到的具体化的安全因子对网格化后的复杂地形进行量化评估;通过设置区间,将评估结果分级,得到复杂地形安全度。Step 2. Evaluate the safety degree of complex terrain. Quantitatively evaluate the complex terrain after gridding according to the specific safety factor obtained in step 1; by setting intervals, the evaluation results are graded to obtain the safety degree of complex terrain.

步骤一所述安全因子的因素指标采用的函数形式为:S型函数、min-max标准化函数、多项式函数或三角函数;The function form of the factor index of the safety factor mentioned in step 1 is: Sigmoid function, min-max normalization function, polynomial function or trigonometric function;

复杂地形安全度是对安全因子的取值进行合理划分的结果,表明了探测器着陆在不同地方可能产生的危险性大小,安全度越高,其危险性也就越小。在选择划分区间时,需要结合安全因子的整体取值范围以及各部分评估指标的取值特点,尽可能将安全区域、危险区域以及介于其间的模糊区域划分开,安全度的级别个数可根据实际情况进行调整,用安全度来对复杂地形着陆任务的成功率进行衡量,从而达到评估的目的,为之后的着陆过程起到指导作用。The safety degree of complex terrain is the result of a reasonable division of the value of the safety factor, which indicates the possible danger of the probe landing in different places. The higher the safety degree, the smaller the danger. When choosing to divide the interval, it is necessary to combine the overall value range of the safety factor and the value characteristics of each part of the evaluation index, and divide the safe area, dangerous area and the fuzzy area in between as much as possible. The number of levels of safety can vary. Adjust according to the actual situation, and use the safety degree to measure the success rate of the complex terrain landing mission, so as to achieve the purpose of evaluation and play a guiding role in the subsequent landing process.

有益效果Beneficial effect

本发明公开的一种基于安全因子的复杂地形安全度评估方法,通过提出安全因子的概念,并将之具体化后应用在复杂地形安全度评估问题中,为复杂地形着陆任务安全性的考察提供了一种量化方法,进一步将评估结果进行等级划分,得到复杂地形的安全度。安全度等级越高,表明该区域越适宜着陆;反之,安全度等级越低,着陆在该区域危险性就越高。通过对安全因子具体形式的调整,该方法可被广泛应用到各类行星着陆任务的前期任务规划设计以及任务执行过程中,起到规避障碍、提高着陆性能、降低失败风险等作用。A complex terrain safety evaluation method based on safety factors disclosed in the present invention proposes the concept of safety factors and applies it to the evaluation of complex terrain safety to provide a basis for the investigation of the safety of complex terrain landing tasks. A quantitative method is proposed, and the evaluation results are further graded to obtain the safety degree of complex terrain. The higher the safety level, the more suitable the area is for landing; on the contrary, the lower the safety level, the higher the risk of landing in the area. By adjusting the specific form of the safety factor, this method can be widely applied to the pre-mission planning and design of various planetary landing missions and the mission execution process to avoid obstacles, improve landing performance, and reduce failure risks.

附图说明Description of drawings

图1为本发明公开的一种基于安全因子的复杂地形安全度评估方法流程图;Fig. 1 is a flow chart of a safety factor-based complex terrain safety evaluation method disclosed by the present invention;

图2为惯性系下推力矢量的方向;Fig. 2 is the direction of the thrust vector under the inertial system;

图3为仿真中进行评估的复杂地形,其中(a)为三维地形图,(b)为地形俯视图;Figure 3 is the complex terrain evaluated in the simulation, where (a) is a three-dimensional topographic map, and (b) is a top view of the terrain;

图4为S型函数变化曲线,其中(a)为地形情况指标变化情况,(b)为着陆速度指标变化情况;Figure 4 is the S-shaped function change curve, where (a) is the change of the terrain condition index, and (b) is the change of the landing speed index;

图5为评估过程及安全因子计算结果,其中(a)为地形情况指标评估结果,(b)为着陆速度指标评估结果,(c)为着陆姿态指标评估结果,(d)为安全因子的计算结果;Figure 5 shows the evaluation process and the calculation results of the safety factor, where (a) is the evaluation result of the terrain condition index, (b) is the evaluation result of the landing speed index, (c) is the evaluation result of the landing attitude index, and (d) is the calculation of the safety factor result;

图6为复杂地形安全度评估结果,其中(a)为安全因子等高线图,(b)为复杂地形安全度的计算结果。Figure 6 is the evaluation result of safety degree of complex terrain, where (a) is the contour map of safety factor, and (b) is the calculation result of safety degree of complex terrain.

具体实施方式detailed description

为了更好的说明本发明的目的和优点,下面结合附图和实例对发明内容做进一步说明。In order to better illustrate the purpose and advantages of the present invention, the content of the invention will be further described below in conjunction with the accompanying drawings and examples.

不失一般性,本实例选用火星着陆过程进行分析,在着陆点固连惯性系下采用最优控制制导,其制导律解析形式为Without loss of generality, this example selects the Mars landing process for analysis, and adopts optimal control guidance under the fixed inertial system at the landing site, and the analytical form of the guidance law is

aa == -- 44 ΔΔ vv tt gg oo -- 66 ΔΔ rr tt gg oo 22 -- gg -- -- -- (( 22 ))

其中,a为控制加速度,Δv及Δr分别为探测器当前速度/位置与预定着陆点处速度/位置的差,tgo表示剩余着陆时间,g是当地重力加速度。加速度矢量a的方向即为主推力T的方向。如图2所示,推力T的方向与竖直方向z轴的夹角可由式(3)计算得到Among them, a is the control acceleration, Δv and Δr are the difference between the current speed/position of the detector and the speed/position at the scheduled landing point, t go represents the remaining landing time, and g is the local gravitational acceleration. The direction of the acceleration vector a is the direction of the main thrust T. As shown in Figure 2, the angle between the direction of the thrust T and the vertical z-axis It can be calculated by formula (3)

图3中,用于评估的复杂地形大小为2000m×2000m。探测器初始位置r0为[-300,-200,1700]m,初始速度v0为[18,20,-80]m/s。在理想条件下,探测器应以零速度垂直降落在行星表面,但在实际过程中,由于误差与干扰的存在使得探测器的着陆速度与姿态均与预定状态有所偏差,为了真实模拟着陆过程中的环境不确定性与系统误差,在仿真中加入5%的执行误差及阵风干扰。In Figure 3, the size of complex terrain used for evaluation is 2000m×2000m. The initial position r 0 of the detector is [-300,-200,1700]m, and the initial velocity v 0 is [18,20,-80]m/s. Under ideal conditions, the probe should land vertically on the surface of the planet at zero speed, but in the actual process, due to the existence of errors and disturbances, the landing speed and attitude of the probe deviate from the predetermined state. In order to truly simulate the landing process The environmental uncertainty and system error in the simulation, adding 5% execution error and gust interference in the simulation.

本实施例公开的一种基于安全因子的复杂地形安全度评估方法,包括如下步骤:A safety factor-based complex terrain safety evaluation method disclosed in this embodiment includes the following steps:

步骤一、确定具体化的安全因子表达式。安全因子由若干因素指标通过加权得到,结合任务需求及探测目标特点,选取需要进行评估的因素指标、采用的函数形式以及加权方式,得到具体化的安全因子表达式。Step 1. Determine the concrete safety factor expression. The safety factor is obtained by weighting several factor indicators. Combined with the task requirements and the characteristics of the detection target, the factor indicators that need to be evaluated, the functional form and the weighting method are selected to obtain a specific expression of the safety factor.

需要注意的是,在具体化安全因子表达式的过程中,还需考虑不同目标天体在探测过程中的差异,具体表现在用时长短及侧重内容上。小行星与彗星尺寸更小、形状不规则,产生的引力小且分布不均,着陆在这类天体上通常要经历更长的时间,着陆速度也相对更小。因此,探测器有充足的时间对行星表面进行检测与分析,通过星载计算机或接收地面站的指令信息完成对复杂地形的评估。评估因素上,由于弱引力对探测器的束缚有限,过大的着陆速度及倾斜的着陆姿态可能造成探测器在复杂地形中剧烈的弹跳甚至逃逸,同时外界的扰动对着陆性能的影响也更加明显,这些因素在评估过程中应重点考虑。相比之下,以火星为代表的主要天体引力大且分布相对均匀,可容忍一定范围内的着陆速度与外界扰动,但其着陆过程相对更加快速,加上与地球通讯的时延问题,只能在着陆前依靠星上自主系统对有限范围内的复杂地形进行简单快速的评估,因此要求安全因子形式简单便于计算。It should be noted that in the process of specifying the expression of the safety factor, the differences in the detection process of different target celestial bodies also need to be considered, which is specifically reflected in the length of time spent and the content of emphasis. Asteroids and comets are smaller in size and irregular in shape, and the gravitational force generated is small and unevenly distributed. It usually takes longer to land on such celestial bodies, and the landing speed is relatively slower. Therefore, the probe has enough time to detect and analyze the surface of the planet, and complete the evaluation of complex terrain through the on-board computer or receiving command information from the ground station. In terms of evaluation factors, due to the limited constraints of weak gravity on the detector, excessive landing speed and inclined landing attitude may cause the detector to bounce violently or even escape in complex terrain, and the impact of external disturbances on landing performance is also more obvious , these factors should be considered in the evaluation process. In contrast, the major celestial bodies represented by Mars have a large gravitational force and a relatively uniform distribution, which can tolerate a certain range of landing speeds and external disturbances, but their landing process is relatively faster, and with the delay in communication with the earth, only It can rely on the onboard autonomous system to conduct a simple and rapid assessment of the complex terrain within a limited range before landing, so the form of the safety factor is required to be simple and easy to calculate.

在本实施例中,要求探测器在避开障碍物的同时,以尽可能小的速度垂直降落在火星表面,故选取地形情况、着陆速度以及着陆姿态作为评估因素。为了直观的判断所给复杂地形是否安全以及便于三种因素指标在组成安全因子时形式与取值统一,将每种因素指标的具体函数形式都设定为S型函数,进而得到具体化的安全因子表达式In this embodiment, the probe is required to land vertically on the surface of Mars at a speed as small as possible while avoiding obstacles, so terrain conditions, landing speed and landing attitude are selected as evaluation factors. In order to intuitively judge whether the given complex terrain is safe or not and to facilitate the unification of the form and value of the three factor indicators when forming the safety factor, the specific function form of each factor indicator is set as an S-type function, and then the specific safety factor is obtained. factor expression

其中,ci(i=1,2,3)为正常数,R,vfz,分别为安全半径(指探测器着陆点与最近障碍物之间的距离)、竖直速度分量以及推力方向与竖直方向的夹角,D,vfzmax,分别为它们的临界值。此处认为地形情况、着陆速度以及着陆姿态对于任务的成败影响相当,权重均取为1。Among them, c i (i=1,2,3) is a normal constant, R, v fz , Respectively, the safety radius (referring to the distance between the landing point of the detector and the nearest obstacle), the vertical velocity component and the angle between the thrust direction and the vertical direction, D, v fzmax , are their critical values, respectively. Here, it is considered that terrain conditions, landing speed, and landing attitude have an equal impact on the success or failure of the mission, and the weights are all set to 1.

S型函数的计算结果可以分为三类,即大于临界值、小于临界值及在临界值附近。可以看到,式(4)中第一部分的形式与后两部分略有差别,这是由于地形情况指标中临界值D是下边界,着陆速度指标与着陆姿态指标的临界值vfzmax,是上边界。通过适当调整具体形式,可以保证地形情况、着陆速度以及着陆姿态三部分指标都是值越小,区域越安全。以地形情况为例,假设安全半径临界值D=50m,目标着陆点的安全半径R在0m到100m之间变化,该部分指标的变化情况见图4(a)。着陆速度与着陆姿态两部分的指标也有着类似的变化规律,只是变化方向与地形情况指标相反,如图4(b)所示。The calculation results of the S-type function can be divided into three categories, that is, greater than the critical value, less than the critical value, and near the critical value. It can be seen that the form of the first part in formula (4) is slightly different from the last two parts, because the critical value D in the terrain condition index is the lower boundary, and the critical value v fzmax of the landing speed index and the landing attitude index, is the upper boundary. By properly adjusting the specific form, it can be ensured that the three indicators of terrain conditions, landing speed, and landing attitude are all smaller, and the area is safer. Taking the terrain situation as an example, assuming that the safety radius critical value D=50m, the safety radius R of the target landing point varies from 0m to 100m, and the change of this part of the index is shown in Figure 4(a). The indicators of landing speed and landing attitude also have a similar change law, but the direction of change is opposite to that of terrain conditions, as shown in Figure 4(b).

步骤二、评估复杂地形安全度。根据步骤一得到的具体化的安全因子对网格化后的复杂地形进行量化评估;通过设置区间,将评估结果分级,得到复杂地形安全度。Step 2. Evaluate the safety degree of complex terrain. Quantitatively evaluate the complex terrain after gridding according to the specific safety factor obtained in step 1; by setting intervals, the evaluation results are graded to obtain the safety degree of complex terrain.

在使用具体化的安全因子对复杂地形进行分析前,需要首先得到地形情况、着陆速度以及着陆姿态三部分指标各自的计算结果。将地形进行网格划分,对每一个网格分别按三种因素指标进行计算并将所有网格的计算结果整合在一张图上,分别得到图5(a)、5(b)及5(c)。将以上三张图的结果按照安全因子中的加权方式即式(4)进行相加,得到安全因子的计算结果,如图5(d)所示。可以看到,安全因子整体取值范围在0到3之间,值越大,该区域就越危险,反之则越安全。Before using specific safety factors to analyze complex terrain, it is necessary to first obtain the calculation results of the three indicators of terrain conditions, landing speed, and landing attitude. The terrain is divided into grids, and each grid is calculated according to the three factor indicators, and the calculation results of all grids are integrated on a map, and Figures 5(a), 5(b) and 5( c). The results of the above three figures are added according to the weighting method in the safety factor, that is, formula (4), to obtain the calculation result of the safety factor, as shown in Figure 5(d). It can be seen that the overall value range of the safety factor is between 0 and 3. The larger the value, the more dangerous the area is, and vice versa.

进一步通过设置区间对安全因子评估结果进行划分,得到复杂地形安全度。由于满足地形情况、着陆速度以及着陆姿态约束的区域每部分的指标取值都接近为0,任何超过约束的部分取值都接近1,故判断出适宜着陆的区域其安全因子的总体取值小于1。对安全因子计算结果进行分析得到如图6(a)所示的安全因子等高线图。由于安全因子的整体取值范围为(0,3),小于1的部分认为满足约束,此处将其取值划分为6个区间,对应着不同的地形安全度The evaluation results of safety factors are further divided by setting intervals to obtain the safety degree of complex terrain. Since the index value of each part of the area that satisfies the constraints of terrain conditions, landing speed and landing attitude is close to 0, and the value of any part exceeding the constraints is close to 1, so the overall value of the safety factor of the area that is judged suitable for landing is less than 1. The safety factor contour map shown in Figure 6(a) is obtained by analyzing the calculation results of the safety factor. Since the overall value range of the safety factor is (0,3), the part less than 1 is considered to satisfy the constraint. Here, its value is divided into 6 intervals, corresponding to different terrain safety degrees

安全度越高,安全因子的值越小,表明着陆面临的危险越小。将安全度对应到复杂地形上,得到图6(b),其中颜色越浅的部分安全度越高,在此区域着陆的安全性越有保障,相反,颜色越深的部分则危险性越大。在后续的着陆过程中,探测器只需向着安全度高的区域运动即可在最大程度上保障着陆任务的顺利完成。The higher the degree of safety, the smaller the value of the safety factor, indicating that the landing is less dangerous. Corresponding the safety degree to the complex terrain, Figure 6(b) is obtained, in which the lighter the color is, the higher the safety degree is, and the safety of landing in this area is more guaranteed; on the contrary, the darker the color is, the greater the danger . In the subsequent landing process, the probe only needs to move towards an area with a high degree of safety to ensure the smooth completion of the landing task to the greatest extent.

本发明保护范围不仅局限于实施例,实施例用于解释本发明,凡与本发明在相同原理和构思条件下的变更或修改均在本发明公开的保护范围之内。The scope of protection of the present invention is not limited to the embodiments, which are used to explain the present invention, and all changes or modifications under the same principle and conceptual conditions as the present invention are within the scope of protection disclosed by the present invention.

Claims (5)

1. a complicated landform degree of safety appraisal procedure based on factor of safety, it is characterised in that: include as follows Step:
Step one, determine the factor of safety expression formula of materialization;Factor of safety is passed through to add by some questions index Power obtains, and in conjunction with mission requirements and detection target characteristic, chooses factor index, the employing needing to be estimated Functional form and weighting scheme, obtain embody factor of safety expression formula;
The definition of factor of safety is
S I = Δ F ( f a c t o r 1 , f a c t o r 2 ... f a c t o r N ) - - - ( 1 )
Factor1, factor2...factorN are the factor index in factor of safety, and described factor index specifically includes that Topographic features, landing precision, landing speed and attitude, burnup, error and environmental disturbances;
In the case of considering above-mentioned factor index, the functional form of employing and weighting scheme, obtain one specifically The factor of safety changed;
Step 2, the complicated landform degree of safety of assessment;The factor of safety of the materialization obtained according to step one is to grid Complicated landform after change carries out quantitative evaluation;By arranging interval, by assessment result classification, obtain intricately Shape degree of safety.
A kind of complicated landform degree of safety appraisal procedure based on factor of safety, its It is characterised by: the concrete functional form that factor index described in step one is used both can be discrete function, also It can be the continuous function of change in limited range.
A kind of complicated landform degree of safety appraisal procedure based on factor of safety, It is characterized in that: the significance level of task success or failure is come by weighting scheme described in step one according to every kind of factor index Determine, if thinking that selected factor is close on task impact, making no distinction of rank, every some factors index can be given Identical weights;If a certain item or a few factors are bigger on task success or failure impact, then can be by strengthening this factor The weights of index, increase the proportion that this factor is shared in analysis result.
A kind of complicated landform degree of safety appraisal procedure based on factor of safety, its It is characterised by: the functional form that the factor index of factor of safety described in step one uses is: S type function, Min-max normalization function, polynomial function or trigonometric function.
A kind of complicated landform degree of safety appraisal procedure based on factor of safety, its It is characterised by: described in step 2, complicated landform degree of safety is the knot that the value to factor of safety carries out classifying rationally Really, indicating detector and land in the differently issuable danger in side size, degree of safety is the highest, its danger Dangerous the least;When selecting demarcation interval, need to combine the overall span of factor of safety and each The characteristics taking value of component assesses index, as far as possible by safety zone, deathtrap and intervenient fuzzy Region demarcates, and the rank number of degree of safety can be adjusted according to practical situation, comes complexity by degree of safety The success rate of landform landing task is weighed, thus reaches the purpose of assessment, rises for landing mission afterwards To directive function.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101726750A (en) * 2009-11-30 2010-06-09 中国矿业大学(北京) 'Three-map method' for evaluating ground fissures
US7967255B2 (en) * 2006-07-27 2011-06-28 Raytheon Company Autonomous space flight system and planetary lander for executing a discrete landing sequence to remove unknown navigation error, perform hazard avoidance and relocate the lander and method
CN105203114A (en) * 2015-10-20 2015-12-30 北京理工大学 Planet safe landing point online selecting method
CN105333873A (en) * 2015-10-20 2016-02-17 北京理工大学 Planet safe landing guidance method employing landing point on-line selection

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7967255B2 (en) * 2006-07-27 2011-06-28 Raytheon Company Autonomous space flight system and planetary lander for executing a discrete landing sequence to remove unknown navigation error, perform hazard avoidance and relocate the lander and method
CN101726750A (en) * 2009-11-30 2010-06-09 中国矿业大学(北京) 'Three-map method' for evaluating ground fissures
CN105203114A (en) * 2015-10-20 2015-12-30 北京理工大学 Planet safe landing point online selecting method
CN105333873A (en) * 2015-10-20 2016-02-17 北京理工大学 Planet safe landing guidance method employing landing point on-line selection

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
崔平远等: "行星着陆探测中的动力学与控制研究进展", 《航天器环境工程》 *

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