Static var-compensator nonlinear robust adaptive control method based on system immersion and manifold invariant methodology
基于系统浸入和流形不变自适应方法的静止无功补偿器非线性鲁棒自适应控制方法

We propose a novel static var-compensator (SVC) nonlinear robust adaptive control scheme based on system immersion and manifold invariant (I&I) adaptive method as well as the L-two gain restraint robust method. Firstly, a manifold that denotes the parameter estimation error is made invariant and attractive by the proposed estimation error and the robust control law. Thus the estimation error will converge to zero on this manifold. Then, an adjustable parameter is designed to control the convergence performance of the estimation error. Finally, the robust control law is deduced by adaptive backstepping. The robustness of the control system is guaranteed by the reduction of the disturbances from input to the regulated output. The simulation shows that for the estimation of the parameter and the dynamic response of the generator rotor angle, the proposed controller and the parameter update law are superior to the classical adaptive backstepping. Thus the stability of the power system is improved.