Optimization Technology of PID Parameter in Control System Based on Improved Particle Swarm Optimization Algorithms

Tian Shun Huang; Xiao Qiang Li; Hong Yun Lian; Zhi Qiang Zhang

doi:10.4028/www.scientific.net/AMR.908.547

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 908Optimization Technology of PID Parameter in...

Optimization Technology of PID Parameter in Control System Based on Improved Particle Swarm Optimization Algorithms

Abstract:

Particle swarm algorithm has been proven to be very good solving many global optimization problems. Firstly we improved particle swarm optimization algorithm, the improved PSO algorithm for continuous optimization problem, in solving the nonlinear combinatorial optimization problems and mixed integer nonlinear optimization problems is very effective. This design adopts the improved particle swarm algorithm to optimize the PID parameters of the control system, and the effectiveness of the improved algorithm is proved by experiment.

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Periodical:

Advanced Materials Research (Volume 908)

Pages:

547-550

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.908.547

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Online since:

March 2014

Authors:

Tian Shun Huang*, Xiao Qiang Li, Hong Yun Lian, Zhi Qiang Zhang

Keywords:

Control System, Particle Swarm Optimization (PSO), PID Parameter

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* - Corresponding Author

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