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The Master Oscillator (MO) and Frequency Distribution system for the FLASH accelerator is a very complex system of a low phase noise and low phase drift signal generation and distribution devices. The MO and Distribution systems contain... more
The Master Oscillator (MO) and Frequency Distribution system for the FLASH accelerator is a very complex system of a low phase noise and low phase drift signal generation and distribution devices. The MO and Distribution systems contain many diagnostic devices monitoring such properties as temperature, power levels or signal phase changes. These devices are spread along the 300 m long accelerator facility. About 200 monitoring signals must be acquired and made available for the FLASH accelerator operators. A MO Monitoring System was developed that consists of a custom designed precise data acquisition hardware and server software. The data acquired from the MO diagnostic devices are sent directly to servers that collect, save and process the information. There is a Graphic User Interface (GUI) allowing the operators of the FLASH accelerator to access and observe the data on-line. The GUI allows the operator also to set limits and warnings (e.g. too high temperature), set units or ch...
... acquisition and parameters distribution (where low latency is not so important) gigabit ethernet or PCI express will be ... 6x SIMCON 3.1 boards - boards with lOx ADC, FPGA chip, 4xDAC ... The system, based on the ATCA standard, will... more
... acquisition and parameters distribution (where low latency is not so important) gigabit ethernet or PCI express will be ... 6x SIMCON 3.1 boards - boards with lOx ADC, FPGA chip, 4xDAC ... The system, based on the ATCA standard, will consists of several carrier boards and a set of ...
ABSTRACT The paper describes design and performance of the DOOCS (distributed, object oriented) based control system for the cavity simulator and controller (SIMCON). A concise description of the DOOCS system is given. Resident data types... more
ABSTRACT The paper describes design and performance of the DOOCS (distributed, object oriented) based control system for the cavity simulator and controller (SIMCON). A concise description of the DOOCS system is given. Resident data types and data flow throughout the Simcon system are discussed. The basic ideas and implementation issues of the server and client application are described as well as some alternatives to the DOOCS solution (considered as partial) is presented.
ABSTRACT The note describes integrated system of hardware controller and simulator of the resonant superconducting, narrowband niobium, cavity, originally considered for the TTF and TESLA in DESY, Hamburg (now predicted for the VUV and... more
ABSTRACT The note describes integrated system of hardware controller and simulator of the resonant superconducting, narrowband niobium, cavity, originally considered for the TTF and TESLA in DESY, Hamburg (now predicted for the VUV and X-Ray FEL). The controller bases on a programmable circuit Xilinx VirtexII V3000 embedded on a PCB XtremeDSP Development Kit by Nallatech. The FPGA circuit configuration was done in the VHDL language. The internal hardware multiplication components, present in Virtex II chips, were used, to improve the floating point calculation efficiency. The implementation was achieved of a device working in the real time, according to the demands of the LLRF control system for the TESLA Test Facility. The device under consideration will be referred to as superconducting cavity (SCCav) SIMCON throughout this work. This document is intended to be used by end users and operators. It describes step by step how to install SIMCON in specific configuration, how and what software to copy to computer. There is described set of basic Matlab functions for developers of control algorithms. This paper also contains brief description how to use Matlab function of one algorithm with its graphic user panels. This TESLA Report is in close relations with the following TESLA Reports published previously: 2005-05, 2005-02, 2004-10. Together, these Reports make a full SIMCON manual.
ABSTRACT The Master Oscillator (MO) and Frequency Distribution system for the FLASH accelerator is a very complex system of a low phase noise and low phase drift signal generation and distribution devices. The MO and Distribution systems... more
ABSTRACT The Master Oscillator (MO) and Frequency Distribution system for the FLASH accelerator is a very complex system of a low phase noise and low phase drift signal generation and distribution devices. The MO and Distribution systems contain many diagnostic devices monitoring such properties as temperature, power levels or signal phase changes. These devices are spread along the 300 m long accelerator facility. About 200 monitoring signals must be acquired and made available for the FLASH accelerator operators. A MO Monitoring System was developed that consists of a custom designed precise data acquisition hardware and server software. The data acquired from the MO diagnostic devices are sent directly to servers that collect, save and process the information. There is a Graphic User Interface (GUI) allowing the operators of the FLASH accelerator to access and observe the data on-line. The GUI allows the operator also to set limits and warnings (e.g. too high temperature), set units or change data acquisition precision. The MO Monitoring System is designed in a modular and flexible way allowing for easy reconfiguration and system extension in case of need for more monitoring channels. This paper describes briefly the design and operation of the monitoring system.
A concise overview of the laboratory solution of the FPGA based TESLA cavity simulator and controller (SIMCON) is presented. The major emphasis is put in this paper on the high level part of the system. There were described the following... more
A concise overview of the laboratory solution of the FPGA based TESLA cavity simulator and controller (SIMCON) is presented. The major emphasis is put in this paper on the high level part of the system. There were described the following steps of the system design and ...
ABSTRACT
ABSTRACT FPGA based cavity simulator and controller is the next generation control system dedicated for high performance, low latency control algorithm development and implementation. The usage of FPGA technology gives users possibility... more
ABSTRACT FPGA based cavity simulator and controller is the next generation control system dedicated for high performance, low latency control algorithm development and implementation. The usage of FPGA technology gives users possibility to create many devices on one board and easy exchange, modify or improve VHDL programmed algorithms. In order to provide the full functionality of the system to the user, and meet the requirements of flexibility and extensibility, an appropriate control software is needed. This paper describes the idea and implementation of control environment dedicated for FPGA based devices. As an example of implementation, two control environments have been implemented; the laboratory software based on Matlab, and the application for accelerator operation using DOOCS environment.
ABSTRACT The European XFEL project uses the LLRF system for stabilization of a vector sum of the RF field in 32 superconducting cavities. A dedicated, high performance photonics and electronics and software was built. To provide high... more
ABSTRACT The European XFEL project uses the LLRF system for stabilization of a vector sum of the RF field in 32 superconducting cavities. A dedicated, high performance photonics and electronics and software was built. To provide high system availability an appropriate test environment as well as diagnostics was designed. A real time simulation subsystem was designed which is based on dedicated electronics using FPGA technology and robust simulation models implemented in VHDL. The paper presents an architecture of the system framework which allows for easy and flexible conversion of MATLAB language structures directly into FPGA implementable grid of parameterized and simple DSP processors. The decomposition of MATLAB grammar was described as well as optimization process and FPGA implementation issues.