PID Controller Tuning Based on the Covariance Matrix Adaptation Evolution Strategy
| Autor: | Yuji Wakasa, Shinji Kanagawa, Kanya Tanaka, Yuki Nishimura |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Engineering
Mathematical optimization business.industry MathematicsofComputing_NUMERICALANALYSIS Particle swarm optimization PID controller ComputingMethodologies_ARTIFICIALINTELLIGENCE Control theory Stochastic optimization Sensitivity (control systems) Electrical and Electronic Engineering CMA-ES business Evolution strategy |
| Zdroj: | IEEJ Transactions on Electronics, Information and Systems. 130:737-742 |
| ISSN: | 1348-8155 0385-4221 |
| DOI: | 10.1541/ieejeiss.130.737 |
| Popis: | The covariance matrix adaptation evolution strategy (CMA-ES) is a kind of stochastic optimization such as particle swarm optimization (PSO), and has been shown to have a good performance. However, there are few control applications of the CMA-ES except for only one paper. This paper deals with a PID control problem with constraints on sensitivity and complementary sensitivity functions, and proposes a PID controller tuning method based on the CMA-ES. Numerical examples are given to show the effectiveness of the proposed method in comparison with the recently proposed PSO-based method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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