An Improved Sliding Mode Direct Power Control Strategy Based on Reactive Power Compensation for Vienna Rectifier

Abstract

Vienna rectifiers are widely used in electric vehicle charging systems, wind power generation systems and other fields due to their excellent high-voltage resistance, small size and high efficiency.Aiming at the problems of the Vienna rectifier's long response time, low anti-disturbance ability, and current zero-crossing distortion, a new sliding mode direct power control strategy based on disturbance compensation is proposed. Firstly, a model considering the uncertainty is established, and the neural network is used to estimate and compensate the uncertain disturbance. Secondly, aiming at the slow approach speed and slow system convergence of traditional control methods, a new approaching law sliding mode direct power control strategy is designed. Aiming at the current zero-crossing distortion, the reason is analyzed and a compensation method is proposed. Finally, simulations and experiments show that the proposed method has no voltage overshoot and converges faster, effectively improving the problem of different phases of voltage and current. The rectifier operates at unit power, has better steady-state performance and stronger anti-load disturbance ability. The current total harmonic distortion is controlled below 2%, and the current quality is effectively improved.

Fuzzy Integral Sliding Mode Observer-Based Formation Control of Mobile Robots With Kinematic Disturbance and Unknown Leader and Follower Velocities

“…Theorem 2 (Leader-follower formation control using the FISMO and BLFL controller): Using the pseudo linear velocity pseudo v and pseudo angular velocity pseudo w derived in (37) and ( 40), the tracking errors and heading direction tracking error asymptotically converge to zero, guaranteeing the trajectory tracking performance of the follower robot toward the trajectory of the target robot.…”

“…4 (raw_image) through a USB 2.0 wired to the host PC. The camera recognizes the markers on the image and obtains the posture information of the mobile robots, which is then sent to the MATLAB/Simulink environment to generate the velocity commands in (37) and (40). Next, the detailed specifications for the equipment used in the experiments are described.…”

“…Third, FISMO used in the proposed leader-follower output feedback formation control maintains the advantage of removing the initial reaching mode from the sliding mode control [34]- [37], while introducing the adjustable fuzzy gains to show improved performance in transient response over the integral sliding mode control [38]- [40]. In this way, both a fast response and robustness are insured over the entire range of the closed-loop system.…”

A Linearized Time-Invariant Voltage-Sensorless Direct Power Control for Three-Phase Vienna Rectifiers

“…In order to achieve power factor correction of the ac-dc converters, the voltage-oriented control (VOC) method is usually adopted. Though such a control architecture could achieve unity power factor and maintain good dc output voltage, the dynamic response is lower than the direct power control method [3], [4], [5]. Furthermore, in order to reduce the system cost, the voltage sensorless direct power control was proposed [6].…”

Sliding mode based adaptive linear neuron proportional resonant control of Vienna rectifier for performance improvement of electric vehicle charging system

“…Real-time implementation of these filters can be complicated as numerous filters are used. In [32], an improved sliding mode control technique with artificial neural networkbased uncertainty estimation has been proposed for the VR. This controller requires numerous parameter to tune.…”