Sensorless intelligent second-order integral sliding mode maximum power point tracking control for wind turbine system based on wind speed estimation

Abstract

Aiming at the maximum power point tracking for wind turbine, a sensorless intelligent second-order integral sliding mode control based on wind speed estimation is proposed in this article. The maximum wind energy capture is realized by controlling permanent magnet synchronous motor to adjust the speed of wind turbine. First, an intelligent second-order integral sliding mode control is designed for the speed loop and current loop control, which has fast convergence speed, strong robustness and can effectively reduce chattering. Second, a novel cascade observer based on direct sliding mode observer and extended high-gain observer is used to estimate the rotor speed and position. Besides, combined radial basis function neural network is used to estimate the valid value of wind speed. Both simulation and experiment are implemented, which verify the effectiveness of the proposed strategy under the condition of considering both model uncertainty and external disturbance.

Sliding mode control of Lorenz chaotic system of fluid thermal convection between infinite plates based on LMI

“…The research of sliding mode control is also a hot spot, and many scholars have made good achievements in this field. [19][20][21][22][23][24] In the control research of proton exchange membrane fuel cell system, Ahmed 25 uses second-order sliding mode control to overcome the flutter phenomenon caused by traditional sliding mode control. In the research of networked control systems, Wang et al 26 designed sliding mode control for a class of discrete networked switching systems under the condition of coded communication protocols.…”

Adaptive fractional-order fault-tolerant sliding mode control scheme of DFIG wind energy conversion system

“…To ensure the reliability of wind power generation, improve efficiency, and reduce costs, the research of maximum power point tracking (MPPT) control strategy is essential for wind power capture operation. [1][2][3] In actual situations, wind turbine has the characteristics of disgusting working conditions, multi-variable coupling, strong nonlinear, and time-varying, which cause the damages of sensors and actuators in the system. When a fault occurs, the conventional maintenance way is often to restore or stop the system, which usually brings unnecessary operating costs.…”