Design of NN-PID controller based on PSO and its FPGA implementation

In this paper, a design method of NN-PID controller based on PSO learning, VHDL description and FPGA implementation is proposed. At first. with the simulink of Matlab, the feedforward neural network is trained using PSO algorithm in the closed-loop control system and the optimized parameters of NN-PID are obtained. Then under FPGA's development toolkit, a hierarchical design of the controller based on VHDL is carried out, emphasizing on the research of the single neuron as well as the structure and the realization methods of feedforward neural networks. At last the closed-loop test of the controller, implemented on a FPCA chip, is carried out. The research results indicate that NN-PID controller's training speed based on PSO is quick, the timing validation of the controller based on VHDL description and FPGA implementation is convenient and quality of the controller is robust.