Study On FPGA Based Fuzzy PID-Vector-PWM Controller

Motor controller evolved from analog to digital. Digital controller has higher reliability, easier adjustment and higher precise features than analog. The trend of motor controller is high speed, high efficient, high precise, high reliability and better real time. To meet these requirement, high performance DSPs are generally selected to implement digital controller.Field programmable gate array (FPGA) has features of high integrated, fast speed, low power and high reliability. And FPGA are easy to design and easy to upgrade in the field. FPGA implement the control algorithm in hardware fashion, integrating the whole board into one chip. It can achieve much more higher performance with lowering cost, power and improving reliability at the same time.Versus processors such as MCU or DSP which process sequentially, FPGA process in hardware parellel manner, which can give out about tens to hundreds improvement in performance. At the same time, FPGA can have very small loop cycle time, and much lower control loop jitter, for all FPGA's process is controlled by high precise clock, which result in hundreds ps jitters.In this thesis, PID controller, Vector control and PWM controller are designed and integrated in a single FPGA chip. Fuzzy PID controllers are more robust than conventional PID controllers because they can cover a much wider range of operating conditions than PID can, and can operate with noise and disturbances of different nature, so this thesis select fuzzy PID as the PID controller. Through FPGA implementation, the motor controller improved control system speed, achieved lower control system complexity, lower loop cycle time and control loop jitter, as well as smaller and more stable.This thesis use Matlab/Simulink to design and verify the behavior model of fuzzy PID-Vector-PWM controller. Use Xilinx System Generator tool to design and simulate the circuit. Finally, we use the hardware co-sim method in System Generator to verify our hardware design with software(Simulink) and hardware(FPGA board) working together.