Wind turbine generator system self-adaptive inversion sliding mode optimized control method based on high-order sliding mode observer

Abstract

The invention discloses a wind turbine generator system self-adaptive inversion sliding mode optimized control method based on a high-order sliding mode observer. The method includes the steps that a,a mathematical model of a wind turbine generator system is established according to kinematics and dynamics theories; b, a self-adaptive inversion sliding mode controller of the wind turbine generator system is designed on the basis of the traditional optimal torque method design through inversion control, self-adaptive control, sliding mode control theories and the mathematical model; c, the system state is estimated online in real time through the high-order sliding mode observer, the power output is smoothened, and shake and vibration are reduced; d, parameter optimization is conducted onthe designed controller through a particle swarm algorithm to find the optimal control parameter; and e, self-adaptive inversion sliding mode control is conducted on the wind turbine generator systemthrough the self-adaptive inversion sliding mode controller with the control law. In this way, the problems that the wind turbine generator system has unknown parameters and bonded disturbance are solved, and robustness of the system is improved. Finally, the maximum power point tracing control of the wind turbine generator system in the low-wind-speed area is achieved.

Description

technical field [0001] The invention relates to the technical field of wind turbine control, in particular to an adaptive inversion sliding mode optimization control method for large-scale and highly parameterized wind turbines. Background technique [0002] With its unique advantages, wind energy has become one of the fastest growing energy sources in the past ten years, and is being valued by countries all over the world. With the development of wind turbines in the direction of large-scale and high-parameterization, the requirements for wind energy utilization, output power quality and operation stability of wind turbines are also getting higher and higher. [0003] The nonlinearity, strong coupling and various uncertain disturbances of the wind power generation system make the classic maximum power tracking control methods such as optimal torque method, power curve method and blade tip speed ratio method not effective. Since the design of the sliding mode has nothing to...

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Problems solved by technology

Taking a 5MW wind turbine as an object, an adaptive inversion sliding mode controller is designed on the basis of the traditional optimal torque control, and a high-order sliding mode observation is designed for problems such as the difficulty in accurately measuring the state variables of the system and the smooth output of power. The controller estimates the state of the system in real time online to improve the controllability and robustness of the system, and uses the particle swarm algorithm to optimize the parameters of the positive definite matrix Q in the controller to find the best control parameters

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