生物地理学优化算法在双闭环直流调速系统中的应用  被引量:1

Application of Biogeography Based Optimization Algorithm in Double Closed Loop DC Speed Regulation System

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作  者:王华 陈伟军 Wang Hua;Chen Weijun(School of Information Engineering,Lingnan Normal University,Zhanjiang 524048,China)

机构地区:[1]岭南师范学院信息工程学院

出  处:《航天控制》2019年第5期40-45,共6页Aerospace Control

基  金:广东省自然科学基金资助项目(2018A030307077)

摘  要:为提高双闭环直流调速系统性能,将分数阶PI^λ控制器应用到调速系统的电流环和速度环。通过生物地理学优化算法来优化系统的参数,并与采用传统工程设计方法确定参数的整数阶PI系统和通过生物地理学优化算法确定参数的整数阶PI系统进行对比,研究了3种系统的阶跃响应和抗干扰能力。MATLAB仿真表明:采用生物地理学优化算法设计的分数阶PIλ系统具有阶跃响应上升速度快,超调量小,在负载突变情况下波动小,恢复快,抗干扰能力强的优点。In order to improve the performance of double closed-loop DC speed regulation system,fractional order PIλcontroller is applied to the current loop and speed loop of the speed regulation system.The parameters of the system are optimized by biogeography-based optimization algorithm and compared with the integer PI system which uses traditional engineering design method to determine parameters and the integer PI system which uses biogeography based optimization algorithm to determine parameters.The step response and anti-jamming capability of the three systems are studied.Simulation results show that the fractional order PI^λsystem designed by biogeography-based optimization algorithm has the advantages of fast step response,small overshoot,small fluctuation under sudden load change,fast recovery and strong anti-jamming ability.

关 键 词:分数阶PI^λ控制 生物地理学优化算法 双闭环直流调速系统 

分 类 号:TP181[自动化与计算机技术—控制理论与控制工程]

 

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