基于浸入和不变的SVC鲁棒自适应控制算法

SVC Robust Adaptive Control Algorithm Based on Immersion and Invariant

  • 摘要: 对于含有不确定参数并遭受不确定扰动的单机无穷大母线(SMIB)系统,提出了一种基于(系统)浸入和(流形)不变(I&I)的静止无功补偿器(SVC)的非线性鲁棒自适应控制算法.为了提高被控系统的暂态响应性能,所提控制算法考虑了系统中的不确定阻尼系数和不确定扰动的影响.对不确定阻尼系数的自适应估计采用了I&I自适应方法,设计时不须遵循传统自适应方法的确定性-等价原理;而对不确定扰动的抑制采用了L2增益抑制鲁棒算法,从而消除不确定性对系统暂态响应性能的影响.仿真结果表明,所设计的SVC鲁棒自适应控制算法在参数估计精度和发电机功角的暂态响应方面优于传统自适应逆推算法,能够抑制不确定性对系统暂态响应性能的影响,提高了输电系统的暂态稳定性.

     

    Abstract: With regard to the single machine infinite bus (SMIB) system with uncertain parameters and uncertain disturbances, the nonlinear robust adaptive control algorithm based on (system) immersion and (manifold) invariant is designed for static VAR compensator (SVC). The proposed algorithm improves transient system performance when the uncertain damping coefficient and uncertain disturbances exist in the controlled system. The adaptive update law for the damping coefficient is based on the I&I adaptive method, and the designing procedure doesnot follow the classical certainty-equivalence principle. Meanwhile, in the design of the control law, L2 gain restraint is applied to eliminating the effects of the uncertain disturbances on the system transient performance. The simulation result shows that the proposed SVC robust adaptive control algorithm is superior to the classical adaptive backstepping method in terms of the parameter estimation accuracy and the transient performance of the generator rotor angle, which indicates that the proposed algorithm can enhance the system's transient stability.

     

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