作者
Guo-Qiang Zeng, Kang-Di Lu, Yu-Xing Dai, Zheng-Jiang Zhang, Min-Rong Chen, Chong-Wei Zheng, Di Wu, Wen-Wen Peng
发表日期
2014/8/22
期刊
Neurocomputing
卷号
138
页码范围
180-188
出版商
Elsevier
简介
Design of an effective and efficient PID controller to obtain high-quality performances such as high stability and satisfied transient response is of great theoretical and practical significance. This paper presents a novel design method for PID controllers based on the binary-coded extremal optimization algorithm (BCEO). The basic idea behind the proposed method is encoding the PID parameters into a binary string, evaluating the control performance by a more reasonable index than the integral of absolute error (IAE) and the integral of time weighted absolute error (ITAE), updating the solution by the selection based on power-law probability distribution and binary mutation for the selected bad elements. The experimental results on some benchmark instances have shown that the proposed BCEO-based PID design method is simpler, more efficient and effective than the existing popular evolutionary algorithms, such …
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