[1]TUO Shouheng,YONG Longquan.A modified teaching-learning-based optimization algorithm for parameter tuning of a PID controller[J].CAAI Transactions on Intelligent Systems,2014,9(6):740-746.[doi:10.3969/j.issn.1673-4785.201304072]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
9
Number of periods:
2014 6
Page number:
740-746
Column:
学术论文—智能系统
Public date:
2014-12-25
- Title:
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A modified teaching-learning-based optimization algorithm for parameter tuning of a PID controller
- Author(s):
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TUO Shouheng; YONG Longquan
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School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong 723000, China
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- Keywords:
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proportional-integral-derivative controller; teaching-learning-based optimization; particle swarm optimization; genetic algorithm
- CLC:
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TP301.6;N945
- DOI:
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10.3969/j.issn.1673-4785.201304072
- Abstract:
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In order to enhance the performance of a PID controller, a modified teaching-learning-based optimization (MTLBO) algorithm is presented and applied to the parameter optimization of the PID controller. The MTLBO algorithm modifies the "Teaching" and "Learning" phases, respectively. It is based on the basic teaching-learning-based optimization (TLBO) method, which introduces a new "self-learning" method. It also improves the searching ability of the TLBO. The MTLBO algorithm is successfully applied to parameter optimization and tuning of the PID controller. In order to demonstrate the performance of the proposed algorithm, the MTLBO method is compared with GA, PSO and TLBO algorithms. The experimental results showed that the MTLBO algorithm has distinct advantages in speed and precision.