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工程设计学报
Chinese Journal of Engineering Design  2024, Vol. 31 Issue (4): 502-510    DOI: 10.3785/j.issn.1006-754X.2024.03.204
Optimization Design     
Research on control of magnetic gear compound motor based on improved dragonfly algorithm
Rui LIU1(),Zina ZHU1,2(),Leijie LAI1,Zhongyang GUO2
1.School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
2.Jiangsu Chaoli Electric Co. , Ltd. , Zhenjiang 212300, China
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Abstract  

In order to solve the problem of oscillation and overshoot of double-rotor structure of magnetic gear compound motor in contactless transmission, a self-tuning vector control method for double-closed loop PI (proportional integral) parameters based on improved dragonfly algorithm (IDA) was proposed. Aiming at the shortcomings of DA in convergence speed and convergence accuracy, Tent mapping, improved weight coefficient and differential optimization algorithm were introduced in the early, middle and late stages of algorithm optimization respectively, and penalty terms that could suppress oscillation and overshoot were added to its fitness function, so that the convergence speed and convergence accuracy of the algorithm were significantly improved. Three control methods of PI, DA-PI and IDA-PI were used for the control simulation and experiment of magnetic gear compound motor. The results showed that the overshoot and steady state error of motor speed under IDA-PI control were the smallest, and the dynamic response speed was the fastest, which proved the effectiveness of the proposed strategy. The research results provide a reference for the control of magnetic gear compound motors with different topologies.

Key words： magnetic gear compound motor      improved dragonfly algorithm      parameter setting      vector control     
Received: 17 October 2023      Published: 26 August 2024
CLC:  TP 273  
Corresponding Authors: Zina ZHU     E-mail: liurui18251490869@163.com;zhuzina@126.com
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Rui LIU
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Cite this article:

Rui LIU,Zina ZHU,Leijie LAI,Zhongyang GUO. Research on control of magnetic gear compound motor based on improved dragonfly algorithm. Chinese Journal of Engineering Design, 2024, 31(4): 502-510.

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https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2024.03.204     OR     https://www.zjujournals.com/gcsjxb/Y2024/V31/I4/502


基于改进蜻蜓算法的磁齿轮复合电机控制研究

针对磁齿轮复合电机双转子结构在无接触传动时出现振荡和超调的问题，提出了一种基于改进蜻蜓算法（improved dragonfly algorithm，IDA）的双闭环PI（proportional integral，比例积分）参数自整定矢量控制方法。针对DA在收敛速度和收敛精度等方面存在的不足，分别在算法寻优的前期、中期和后期引入Tent映射、改进权重系数和差分优化算法，并在其适应度函数上增加可抑制振荡和超调的惩罚项，使算法的收敛速度和收敛精度得到明显提高。采用PI、DA-PI和IDA-PI三种控制方法对磁齿轮复合电机进行控制仿真和实验，结果表明，在IDA-PI控制下电机转速的超调量和稳态误差最小，动态响应速度最快，证明了所提策略的有效性。研究结果为不同拓扑结构磁齿轮复合电机的控制提供了参考。


关键词： 磁齿轮复合电机,  改进蜻蜓算法,  参数整定,  矢量控制 
Fig.1 Structure of magnetic gear compound motor
Fig.2 Air gap magnetic field of magnetic gear compound motor
参数数值参数数值
定子电阻/Ω1.2外转子转动惯量/ (kg·m2)0.007 538
功率/kW0.2内转子转动惯量/ (kg·m2)0.001 540
内转子极对数2直轴电感/mH7.315 2
外转子极对数10交轴电感/mH7.319 8
调磁块数12外转子永磁体磁链/Wb0.195 2
阻尼系数/(N·m·s)0.008内转子永磁体磁链/Wb0.286 4
Table 1 Major parameters of magnetic gear compound motor
Fig.3 Synthesis of flux vector in dq coordinate system
Fig.4 PI control block diagram
Fig.5 Chaotic sequence distribution of Logistic and Tent maps
Fig.6 Inertial weight adjustment process before and after improvement
Fig.7 DA improvement process
Fig.8 Structure of IDA-PI controller
Fig.9 Double closed loop PI vector control block diagram of magnetic gear compound motor
Fig.10 Simulation model of vector control system of magnetic gear compound motor
Fig.11 Convergence curves of DA and IDA objective function values
Fig.12 Speed simulation curves of magnetic gear compound motor
Fig.13 Prototype of magnetic gear compound motor
Fig.14 Control experimental platform of magnetic gear compound motor
Fig.15 Speed test curves of magnetic gear compound motor
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