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RISS 인기검색어
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- 저자 : Ding Hongchang (검색결과 2 건)
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Sensorless Control of Surface-Mounted Permanent Magnet Synchronous Motor Using Adaptive Robust UKF
Ding Hongchang,Qin Xiaojun,Wei Linchao 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5
With the increasing demand for sensorless control of permanent magnet synchronous motor (PMSM), unscented Kalman fi lter (UKF) is widely used in sensorless control of PMSM, as it overcomes the shortcoming of neglecting higher-order terms in the linearization process, and improves the calculation accuracy of nonlinear distribution statistics. However, UKF is susceptible to system noise and measurement gross errors, which limits the application of UKF. In this paper, an adaptive robust UKF algorithm is proposed and studied, which combines the advantages of robust Kalman fi ltering and adaptive Kalman fi ltering. Based on the principle of the equivalent weight of robust M-estimation, the equivalent covariance matrix is obtained, and the observation gross error of the system is reduced. Meanwhile, Sage-Husa estimation algorithm is adopted to adjust the system and process noise adaptively. Finally, the adaptive robust UKF is applied to the sensorless control of surface-mounted PMSM (SPMSM), the simulation model of the proposed adaptive robust UKF and traditional UKF method are established and solved in MATLAB/Simulink respectively. To verify the eff ectiveness of the adaptive robust UKF algorithm, an experimental test platform is built and the experimental tests are carried out. Compared with the traditional UKF method, the simulation and experiment results show that adaptive robust UKF algorithm has smaller estimation error of rotor speed and position, higher robustness in the case of speed jumping and load disturbance.
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Zou Xinhong,Ding Hongchang,Li Jinhong 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
This paper proposes a permanent magnet synchronous motor sensorless control strategy based on fuzzy sliding mode controller and fuzzy sliding mode observer. In order to improve the response speed of the system and the anti-interference ability of the system, a sliding mode controller (SMC) is used to replace the PI regulator in the speed loop. In order to suppress the chattering caused by sliding mode variable structure control and reduce the error caused by chattering, the SMC and sliding mode observer (SMO) are improved. An integral sliding mode surface is used in the SMC, and a continuous saturation function is used instead of a discontinuous sign function. The square of the speed error is introduced in the switch term of the exponential approaching law to improve the dynamic quality of approaching motion. The switching function in the SMO also uses a saturation function to suppress chattering caused by switching. Fuzzy rules are established to adaptively adjust the switching gain of the SMO and the parameters in the SMC’s reaching law, which further improves the performance of the control system. Simulations and experiments prove that the proposed control strategy has the characteristics of small chattering, fast response speed, and strong robustness.
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