Title :
Design of PID controller based on PSO algorithm and FPGA
Author :
Yajuan, Chen ; Qinghai, Wu
Author_Institution :
Sch. of Electron. & Electr. Eng., Huaiyin Inst. of Technol., Huaiyin, China
Abstract :
An innovative design method of PID controller based on particle swarm optimization (PSO) algorithm and FPGA is introduced. At first, with the Simulink of MATLAB, the optimized parameters of PID controller are obtained based on PSO in the closed-loop control system. Then under FPGA´s controller based on FPGA and PSO algorithm is verified, and it has some advantages such as design flexible, self-tuning on line, high reliability, short cycle of technical development, high running speed and so on. This intelligent PID controller based on FPGA and PSO algorithm can be applied in high control precision digital control system with high speed responsibility and high stability.
Keywords :
closed loop systems; control system synthesis; field programmable gate arrays; intelligent control; particle swarm optimisation; self-adjusting systems; stability; three-term control; FPGA; MATLAB; PSO algorithm; Simulink; closed-loop control system; digital control system; intelligent PID controller design; particle swarm optimization algorithm; self-tuning system; Algorithm design and analysis; Digital signal processing; Field programmable gate arrays; Hardware; Intelligent control; Particle swarm optimization; Tuning; FPGA; PID controller; VHDL; particle swarm optimization algorithm;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008424