| 基于改进BBO算法的分数阶PID控制器设计 |
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| 引用本文： | 吴正平,尹凡,汪昊. 基于改进BBO算法的分数阶PID控制器设计[J]. 计算技术与自动化, 2020, 39(1): 14-17 |
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| 作者姓名： | 吴正平 尹凡 汪昊 |
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| 作者单位： | 三峡大学,湖北 宜昌,443002;国网湖北省直流检运公司,湖北 武汉,430050 |
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| 摘 要： | 针对分数阶PID(Fractional-Order Proportional-Integral-Derivative,FOPID)控制器参数整定,提出了一种改进生物地理学优化(Biogeography-Based Optimization,BBO)算法。该算法改进点主要包括:迁移操作中保留精英个体;变异操作中引入差分进化(Dtferential Evolution,ED)算法的变异策略;消除重复样本。仿真结果表明:在分数阶PID控制器参数整定中,与原始的BBO算法、遗传算法(Genetic Algorithm,GA)和粒子群算法(Particle Swarm Optimization,PSO)比较,提出的改进BBO算法具有超调量小、误差小,收敛更快的特点。
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| 关 键 词： | 分数阶PID控制器 参数整定 生物地理学优化算法 差分进化算法 |
Design of Fractional-order PID Controller Based on Improved BBO Algorithm |
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| WU Zheng-ping,YIN Fan,WANG Hao. Design of Fractional-order PID Controller Based on Improved BBO Algorithm[J]. Computing Technology and Automation, 2020, 39(1): 14-17 |
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| Authors: | WU Zheng-ping YIN Fan WANG Hao |
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| Affiliation: | (China Three Gorges University,Yichang,Hubei 443002,China;State Grid Hubei DC Inspection and Transportation Company,Wuhan,Hubei 430050,China) |
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| Abstract: | An improved Biogeography-Based Optimization(BBO)algorithm is proposed for parameters tuning of fractional-order proportional-integral-derivative(FOPID)controller.The main improvement points of this algorithm include:retaining elite individuals in migration operation;introducing mutation strategy of differential evolution(DE)algorithm into mutation operation;eliminating duplicate samples.The simulation results show that compared with the original BBO algorithm,genetic algorithm(GA)and particle swarm optimization(PSO)algorithm,Improved BBO algorithm proposed in this paper has the characteristics of small overshoot,small error and faster convergence in parameter tuning of fractional order PID controller. |
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| Keywords: | fractional-order PID controller parameter tuning BBO algorithm DE algorithm |
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