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Chen Youyuan,Yu Haisheng,Meng Xiangxiang,Ding Hao,Gao Xunkai 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3
In this paper, a novel cooperative controller combining Linear Quadratic optimal control based on feedback linearization (LQ-FL) and state error port-Hamiltonian (EPH) with integral term is proposed for permanent magnet synchronous motor. Firstly, the LQ-FL is presented to ensure rapid dynamic performance, and the EPH method makes up for the shortcomings of the system in steady-state performance. The integral term is utilized to eliminate the position tracking steady-state error. Secondly, the Gaussian function is utilized to coordinate the two controllers and make them play their respective superiorities. Then, a nonlinear disturbance observer is used to resolve the total disturbance caused by parameter changes, modeling errors and external disturbance. Finally, the efectiveness and robustness of the proposed controller are verifed by simulation and experiments.
Ni Youyuan,Zhang Xin,Chen Qiuming,Huang Ya,Wang Qunjing 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3
The electromagnetic performances of surface-inset machines with two layer equal/unequal magnet-arc Halbach magnets are compared. The magnetic feld distribution is analytically obtained by analyzing the outer/inner layer Halbach magnets separately. Through presented analytical technique, the magnetization angles of each layer Halbach magnets are analytically optimized. Considering the practical application of relatively large usage of magnets, the larger the outer layer magnet-arc ratio, the better the performances. The analytical predictions show that the optimal two layer unequal magnet-arc Halbach machine has a much higher sine degree of both the airgap fux density and the back-electromotive force and a much lower torque ripple than the optimal two layer equal magnet-arc Halbach machine. The fnite element analysis and analytical prediction results are compared.