杜 涛,曾国辉,黄 勃,刘 瑾,韦 钰.基于蜻蜓算法分数阶 PI 的 PMSM 矢量控制优化[J].电子测量与仪器学报,2020,34(10):75-84
基于蜻蜓算法分数阶 PI 的 PMSM 矢量控制优化
Optimization of PMSM vector control based on dragonfly algorithm fractional PI
  
DOI:
中文关键词:  永磁同步电机  蜻蜓算法  分数阶 PI 控制  参数离线整定  ITAE
英文关键词:permanent magnet synchronous motor  dragonfly algorithm  fractional-order PI control  parameter offline tuning  ITAE
基金项目:国家自然科学基金(61603242,61701296)、机械电子工程学科建设 (2018xk-A-03)资助项目
作者单位
杜 涛 1.上海工程技术大学 电子电气工程学院 
曾国辉 1.上海工程技术大学 电子电气工程学院 
黄 勃 1.上海工程技术大学 电子电气工程学院 
刘 瑾 1.上海工程技术大学 电子电气工程学院 
韦 钰 1.上海工程技术大学 电子电气工程学院 
AuthorInstitution
Du Tao 1.School of Electronic and Electrical Engineering,Shanghai University of Engineering Science 
Zeng Guohui 1.School of Electronic and Electrical Engineering,Shanghai University of Engineering Science 
Huang Bo 1.School of Electronic and Electrical Engineering,Shanghai University of Engineering Science 
Liu Jin 1.School of Electronic and Electrical Engineering,Shanghai University of Engineering Science 
Wei Yu 1.School of Electronic and Electrical Engineering,Shanghai University of Engineering Science 
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中文摘要:
      针对永磁同步电机双闭环矢量控制系统中整数阶 PI 控制器存在动态响应速度慢、鲁棒性不强的问题,提出一种采用蜻 蜓算法与分数阶 PI 控制相结合,对系统的转速外环和电流内环进行参数离线整定的方法。 将待优化参数看作是蜻蜓在搜索空 间中搜寻食物源的最优个体所处的空间位置,并利用误差性能指标 ITAE 作为其目标适应度函数。 分别对传统工程经验整定 整数阶 PI、蜻蜓算法整定整数阶 PI、蜻蜓算法整定分数阶 PI 和粒子群算法整定分数阶 PI 的电机调速性能进行仿真和实验对 比。 结果表明,蜻蜓算法优化的分数阶 PI 控制器具有提高系统的动态响应性能,减小超调量和增强鲁棒性的优势,证明了优化 策略的优越性。
英文摘要:
      In order to solve the problems of slow dynamic response and weak robustness of the integer order PI controller in the double closed-loop vector control system of permanent magnet synchronous motors, an off-line parameter tuning method of outer speed loop and inner current loop of the system is proposed by using dragonfly algorithm and fractional order PI control. The parameter to be optimized is regarded as the spatial position of the best individual that the dragonfly searches for the food source in the search space, and the error performance index ITAE is used as its target fitness function. Simulation and experimental comparisons of motor speed regulation performance of traditional engineering experience tuning integer order PI, dragonfly algorithm for integer order PI, dragonfly algorithm for fractional order PI, and particle swarm algorithm for fractional order PI, respectively. The results show that the dragonfly algorithm optimized fractional-order PI controller has the advantages of improving the system′s dynamic response performance, reducing the amount of overshoot, and enhancing the robustness, proving the superiority of the optimization strategy.
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