Fuzzy Logic Controller for Speed

Brushless Direct Current (BLDC) motors have gained popularity in recent years due to their high-power density. Many type of speed controller techniques have been developed and Proportional Integral Derivative (PID) controller has been the most widely used. However, PID's performance deteriorates during nonlinear loads conditions. Over the past five years, controllers have been developed to overcome this limitations in BLDC speed control, however the solutions are focusing on forward motoring only. In this paper, a speed controller for BLDC with seamless speed reversal using Modified Fuzzy Gain Scheduling is proposed. The proposed controller regulates the speed using Fuzzy Gain Scheduling 49 base rules. The controller was tested for six test cases and compared to PID and Self-Tuning Fuzzy PID controller. It is found out the proposed controller yields lowest steady state error, ess of 0.025 % during step-changing speed test case. Overall, Modified Fuzzy Gain Scheduling BLDC speed controller outperforms the other two similar controllers in variable speed conditions. The controller has potential to be used as bidirectional drive in highly dynamic load conditions. Abstrak Mutakhir ini motor arus terus tanpa berus (BLDC) telah mendapat perhatian komuniti system kawalan kerana prestasinya. Pelbagai jenis pengawal laju dihasilkan, Proportional Integral Derivative (PID) menjadi pilihan utama. Prestasi PID merosot ketika beban tidak linear. Pengawal laju lain telah dikembangkan untuk mengatasi had ini sejak lima tahun kebelakangan ini berfokus pada permotoran ke hadapan sahaja. Dalam kertas ini, Penjadualan Fuzzy Gain yang diubah suai untuk pengawal kelajuan BLDC dengan pembalikan arah yang lancar menggunakan comutasi secara berterusan adalah dicadangkan. Pengawal ini menggunakan 49 peraturan Penjadualan Fuzzy Gain. Pengawal ini telah diuji dengan enam kes ujian dan dibandingkan dengan pengawal laju PID dan Self-Tuning PID Fuzzy. Pengawal laju ini mempunyai steady state error, ess of 0.025 % yang rendah ketika ujian berubah laju. Keseluruhanya, pengawal kelajuan Fuzzy Gain Penjadualan yang diubah suai mengatasi prestasi pengawal laju yang lain ketika keadaan laju boleh ubah. Pengawal laju ini mempunyai pontensi untuk digunakan sebagai pemacu dwiarah ketika beban yang bersifat dinamik.

The present research presents an intelligent fuzzy logic controller (FLC) system for control water level of nonlinear systems, whereas the cross-section area of the vertical water is not constant (conical tank). The mathematical model of the conical tank level system was derived and its simulation runs were carried out by considering the FLC. For comparative analysis, a similar test runs were also carried out by means of conventional ZN based PI-mode. Interestingly, the results illustrate that applying the FLC system in the control loop in the conical tank system could provide a good tracking performance than that of conventional PI model.

Brushless Direct Current (BLDC) motors have gained popularity in recent years due to their high-power density. Many type of speed controller techniques have been developed and Proportional Integral Derivative (PID) controller has been the most widely used. However, PID’s performance deteriorates during nonlinear loads conditions. Over the past five years, controllers have been developed to overcome this limitations in BLDC speed control, however the solutions are focusing on forward motoring only. In this paper, a speed controller for BLDC with seamless speed reversal using Modified Fuzzy Gain Scheduling is proposed. The proposed controller regulates the speed using Fuzzy Gain Scheduling 49 base rules. The controller was tested for six test cases and compared to PID and Self-Tuning Fuzzy PID controller. It is found out the proposed controller yields lowest steady state error, e ss of 0.025 % during step-changing speed test case. Overall, Modified Fuzzy Gain Scheduling BLDC speed con...