15-09-2017, 12:05 PM
BLDC (Brushless DC) motors have found a wide range of applications in industrial automation, automotive, aerospace, instrumentation due to their long life, compact form, reliability and low maintenance, high efficiency and better torque speed characteristics. Variations in speed-torque characteristics, rear emf and current drawn by the engine are analyzed for both unladen loads and loads (assisting and opposing). Some experimental tests are performed to analyze the model and are compared with the simulation results that are very useful in the study of the performance of the motor system.
A new modeling and simulation method is presented for the BLDCM speed control system with Kalman Filter. In MATLAB / Simulink, the isolated functional blocks are combined with the S functions; and the BLDCM model is established. Based on the discrete state space model, the recurrence formula for the Kalman Filter is deduced, its block is also set. The BLDCM rate response is filtered by the Kalman filter, and the PI speed controller is used. Reasonableness and validity are testified by the coincidence of the results of the simulation and the theoretical analysis. The results of the experiment verified that the state space formula is correct; the correction matrix for the Kalman filter and the relevant coefficient are reasonable; and the filter effect is excellent. The new method in this document is also suitable to verify the reasonableness of other control algorithms, offers a new thinking for the design and debugging of real engines.
A new modeling and simulation method is presented for the BLDCM speed control system with Kalman Filter. In MATLAB / Simulink, the isolated functional blocks are combined with the S functions; and the BLDCM model is established. Based on the discrete state space model, the recurrence formula for the Kalman Filter is deduced, its block is also set. The BLDCM rate response is filtered by the Kalman filter, and the PI speed controller is used. Reasonableness and validity are testified by the coincidence of the results of the simulation and the theoretical analysis. The results of the experiment verified that the state space formula is correct; the correction matrix for the Kalman filter and the relevant coefficient are reasonable; and the filter effect is excellent. The new method in this document is also suitable to verify the reasonableness of other control algorithms, offers a new thinking for the design and debugging of real engines.