This paper focuses on performance improvements of the permanent magnet synchronous motor (PMSM) vector control. In this paper, a novel second order sliding mode control (SOSMC) algorithm is presented to accomplish velocity control of the PMSM. The integral manifold is utilized to avoid noise signals being amplified because of the acceleration information in control system, and the second order sliding mode control law is achieved by a Lyapunov function approach. The novel method can successfully eliminate the system chattering problem and improve the performance of the PMSM control system, such as fast response, high robustness and tracking speed performance. Meanwhile, an anti-windup control method is used to solve the problem of the windup phenomenon of the PMSM control system. The experimental results show that the proposed method is feasible and effective and is capable of controlling the permanent magnet synchronous motor.

This paper focuses on the performance improvements of the permanent magnet synchronous motor (PMSM) using vector control. In this paper, a neural adaptive sliding mode control algorithm is proposed to accomplish the position tracking of the field-oriented control (FOC) for PMSM. The proposed algorithm is presented by combining the fast terminal sliding mode (FTSM) with the radial basis function (RBF). Hence, the algorithm can not only compensate the network approximation errors but also solve the problem that FTSM is greatly dependent on the parameters of the PMSM. Furthermore, it is conducted easily and improves the performance of the PMSM control system, such as the tracking accuracy, robustness and response speed, etc. The neural network parameters are updated according to the Lyapunov approach which is used to prove the stability of the closed-loop system. The experimental results testify that the proposed algorithm is feasible and effective and is capable of controlling the PMSM in the real applications.

In this paper, a novel second-order integral sliding mode control (SOSMC) algorithm is proposed to accomplish velocity control of the permanent-magnet synchronous motor (PMSM) so that the performance can be improved. An integral manifold is utilized to reduce the static error during the sliding mode movement phase to improve the control precision, and a new SOSMC law is achieved by a Lyapunov function approach so the system convergence is guaranteed. The presented method can not only eliminate the system chattering problem successfully but also improve the performance of the PMSM control system. Meanwhile, in order to solve the problem of the windup phenomenon of the PMSM control system, an anti-windup control method is proposed in the PMSM control system. The simulation experimental results are given to indicate that the proposed method is effective and can improve the performance of the PMSM control system such as fast response, high robustness and speed tracking precision, etc.

In this paper, the main factors which influence the current control performance of the Permanent Magnet Synchronous Motor are studied and analyzed. A method, which combines the fast terminal sliding mode control and the current feed forward control methods, is proposed to solve the problems of the cross-coupling of d-q current in field oriented control. Meanwhile, an adaptive control law is designed for the system uncertainties of system parameters perturbation and external disturbances and so on. The convergence of the proposed method is proved by Lyapunov theory. The proposed control method is testified by computer simulation and improves the robustness of the Permanent Magnet Synchronous Motor control system.

The sensorless control system for the permanent magnet synchronous motor (PMSM) in the real-world engineering applications is studied. A method, which combines the sliding mode observer (SMO) and sinusoidal voltage drive start, is proposed to solve the problems of the steady running at low speed and fast start-stop. In addition, the anti-windup PI controller is designed to avoid the windup phenomenon of the system. Finally, the effectiveness of the proposed method and the feasibility of the developed sensorless control system are validated by experiment. The system is capable to controlling the permanent magnet synchronous motor of the injection molding machines and other electrical equipments in future.

This paper presents a novel second order sliding mode observer to estimate the rotor position and speed in the sensorless control for PMSM. The second order sliding mode control law is achieved by a Lyapunov function approach and the algorithm is easily to be realized. Compared to the conventional sliding mode observer, the novel method can successfully eliminate the system chattering problem omitting the low pass filter in the conventional sliding mode observer and improve the precision of the estimated motor position and speed. Its feasibility and effectiveness are validated through computer simulation.