Title :
Design and implementation of PID controller based on FPGA and genetic algorithm
Author :
Chen, Yajuan ; Wu, Qinghai
Author_Institution :
Fac. of Electron. & Electr. Eng., Huaiyin Inst. of Technol., Huai´´an, China
Abstract :
In this paper, an innovative design method of PID controller based on genetic algorithm tuning parameters, VHDL description and FPGA implementation is proposed. The parameters of the PID controller are optimized by using genetic algorithm. The intelligent PID controller based on genetic algorithm is realized by using FPGA. During the realization process, the functional modules of the system are divided based on top-down design method. Each module of the system is described with VHDL language. Finally, the closed loop tests of the intelligent PID controller based on FPGA and genetic algorithm are implemented by means of DSP Builder and Matlab/Simulink. Simulation results have shown that the design method of the intelligent PID controller based on FPGA and genetic 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 genetic algorithm can be applied in high control precision digital control system with high speed responsibility and high stability.
Keywords :
control engineering computing; control system synthesis; field programmable gate arrays; genetic algorithms; hardware description languages; intelligent control; three-term control; DSP Builder; FPGA implementation; Matlab; Simulink; VHDL language; digital control system; field programmable gate array; functional modules; genetic algorithm tuning parameters; intelligent PID controller innovative design method; top-down design method; Field programmable gate arrays; Multiplexing; Stability analysis; FPGA; PID controller; VHDL; genetic algorithm;
Conference_Titel :
Electronics and Optoelectronics (ICEOE), 2011 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-61284-275-2
DOI :
10.1109/ICEOE.2011.6013491