FPGA-Based Fuzzy PID Control Algorithm Research And Achievement

Since the advent of PID algorithm, it has been widely concerned. With the development of the modern control theory and intelligent control technology, PID algorithm has developed rapidly. Combining the traditional PID control algorithm, in specific control field, some new control algorithms have appeared. Fuzzy PID control algorithm bases on this and it gradually forms a prominent feature in control field.At the same time with the development of the micro-electronics technology, field programmable logic device (FPGA) and EDA technologies, it has opened up a wide space for the development of the integrated control chip. FPGA-based hardware for the development of the algorithm module offers the possibility of significant, and saves the external circuit, so that the algorithm module integration has greatly enhanced.This paper aims at the hot research topics home and abroad on the algorithm, and does in-depth analysis and study on fuzzy PID algorithm. Analyze the control system structure of the turbine and creat math model. According the actual design and running parameters of a turbine, the dynamic characteristic of load rejection is simulated in the Matlab. Simulation results show that the fuzzy PID algorithm have a better performance to solve a problem which the overspeed value is too large in the process of turbo-generator load rejection lead to the mechanical protection device operation and the turbine shutdown. Ensure the nomal operation of the machine after turbo-generator load rejection. According to the fuzzy control theory and the characteristics of EDA technologies and FPGA programmable logic device's development, the fuzzy PID algorithm which achieves multiple-input multiple-output is put forward in the FPGA. Based on a comprehensive analysis of the characteristics of the algorithm, EP2C35F672C6 chip of Altera's Cyclone II series is chosen as the target. The fuzzy PID control algorithm is implemented by using the hierarchical modular design and combining the schematic design method and VHDL design method, in the Quarrus II development environment provided by Altera. Function and timing simulation work on various modules and functions of the entire system-on-chip algorithms has been done, respectively. According to the results of the simulation analysis, the control chip achieves the desired function of fuzzy PID control algorithm.The control algorithm built in the FPGA excellently avoids running fly of the algorithm program, cyclic process deadlock, the reset unreliable, and so on, resulted from the CPU or other problems. It also greatly enhances the reliability of the control chips. At the same time, the versatility of the modules is greatly enhanced, the hardware development cycle is reduced, the peripheral circuit is saved, hence, the development cost is reduced.