The Research and Application of Particle Swarm Optimization in Parameter Tuning on PID Controller
| Autor: | Jian Hui Chen, Yu Lan Tang |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Engineering
Meta-optimization Automatic control business.industry MathematicsofComputing_NUMERICALANALYSIS PID controller Particle swarm optimization Control engineering General Medicine Transfer function Computer Science::Systems and Control Control theory Genetic algorithm Multi-swarm optimization business Servo |
| Zdroj: | Applied Mechanics and Materials. :2899-2902 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.423-426.2899 |
| Popis: | A design method of PID controller based on particle swarm algorithm is proposed to solve the difficult problems of parameter tuning on PID controller in automatic control system. And the specific experimental structure is also given. The transfer function of DC servo generator was found with identification of system parameters, and the PID parameters were searched by particle swarm algorithm. MATLAB simulation was used to demonstrate the feasibility and advantages of this approach. The simulation result was compared to the result of searching PID parameters based on genetic algorithm, and it is show that the seeking time to tune the PID parameters by using the particle swarm algorithm is faster than by using the genetic algorithm method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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