Entity

Time filter

Source Type

Shangyu, China

Liu D.,Hangzhou Dianzi University | Liu D.,Wolong Electrical Co. | Zheng X.,Hangzhou Dianzi University | Cui L.,Hangzhou Dianzi University
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | Year: 2011

A control of permanent magnet synchronous motor by the estimated rotor speed using a new reduced-order Luenberger observer is proposed. The motor speed is acquired through observer constructed with stator q-axis current and speed equations. The observer is simple and can achieve fast convergence through eigenvalues placement. Backstepping control is used to design system controllers and the system can achieve fast speed tracking and torqure response. Matlab simulation and experimental result is applied to proves the efficiency and feasibility of system design. Source


Liu D.,Hangzhou Dianzi University | Liu D.,Wolong Electrical Co. | Wang J.,Hangzhou Dianzi University | Cui L.,Hangzhou Dianzi University
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | Year: 2011

Due to the changes of motor parameters and the disturbance of load torque, the output speed of motor system is different from its reference speed, especially in the case of low speed, which may cause unstable servo system. An adaptive backstepping control method is proposed to deal with this problem, that is, the speed tracking control of permanent magnet synchronous motor (PMSM) with uncertain parameters. The proposed method can estimate stator resistances and loads with real time. Moreover, the proposed method can guarantee the tracking performance of the control system when the parameters of the system change. The simulated and experimental results show that the static and dynamic performance of the PMSM can be significantly improved by using the proposed method. Furthermore, the stability of the control system and the robustness for the parameter uncertainty and load torque disturbance can be guaranteed. Source


Liu D.,Hangzhou Dianzi University | Liu D.,Wolong Electrical Co. | Cui Y.,Hangzhou Dianzi University | Chen M.,Hangzhou Dianzi University
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | Year: 2013

Permanent magnet brushless DC motor(BLDC) has been widely applied in industry because it has high power density, high torque/current ratio and simple control advantages. However, back-EMF method of BLDC of traditional estimation for the motor position, its hardware circuit is relatively complex, real-time performance is poor, which limits the application of BLDC. This paper presents a new method of BLDC back-EMF detection method based on the extended Kalman filter, through the derivation in the BLDC based on the mathematical model, the stator current and back-EMF voltage as the state variable, establish the extended Kalman filter model. This algorithm does not need any additional detection circuit, it can realize steady state and transient accurate commutation and the precise control of motor speed. The experiment results show that the proposed algorithm is effective and feasible. Source

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