An extended-state observer based system of brushless DC motor using fuzzy logic

Brushless DC (BLDC) motors are widely used in vehicles because of its superior performance. The load disturbances in a BLDC have great influence on system performance. Some complex algorithms were proposed to overcome the deficiency are difficult to implement on a single DSP chip but they are not easy to implement. To solve the problem, an extended-state observer was used to obtain the estimate signals for speed feedback signal and its differential, as well as estimated signal for load disturbance. A functional design of FPGA in a brushless DC motor system based on FPGA and DSP was completed by using modular design method. The simulation and experiment results show that the proposed control method can enhance the performances of the servo system in rapidity, control accuracy, adaptability and robustness.