| 基于改进BBO算法的分数阶PID控制器设计 |
投稿时间：2019-05-29 修订日期：2019-07-11  点此下载全文 |
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| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| 中文摘要: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（Deferential 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，本文提出的改进BBO算法具有超调量小、误差小，收敛更快的特点。 |
| 中文关键词: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 |
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| Design of Fractional-Order PID Controller Based on Improved BBO Algorithm |
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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. |
| keywords:fractional-order PID controller parameter tuning BBO algorithm DE algorithm |
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