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针对电力系统中的混沌振荡对整个互联电网的危害问题,提出了一种基于非线性光滑函数的滑模控制方法。该方法用非线性光滑函数设计滑模趋近律,有效解决了现有滑模控制方法普遍存在固有高频振荡问题。为了解决混沌系统内部参数不确定性和外部扰动对控制性能的影响,对滑模控制律的增益参数进行自学习更新,保证了新型滑模控制方法的自适应鲁棒控制性能。该方法的特点是不依赖被控系统的数学模型,可以快速跟踪任意给定的参考信号。数值仿真试验表明了该方法不仅具有响应速度快、控制精度高,而且对混沌系统的内外扰动具有很强的免疫能力,因而是一种鲁棒稳定性很强的控制方法,在不确定系统控制领域具有重要作用。
Aiming at the problem that the chaotic oscillation in the power system is harmful to the entire interconnected power system, a sliding mode control method based on the nonlinear smooth function is proposed. This method designs the sliding mode approach law by using the nonlinear smooth function, which effectively solves the problem of inherent high frequency oscillation existing in the existing sliding mode control method. In order to solve the influence of internal parameter uncertainty and external perturbation of the chaotic system on the control performance, the gain parameters of the sliding mode control law are self-learning and updated to ensure the adaptive robust control performance of the new sliding mode control method. The method is characterized by not depending on the mathematical model of the controlled system, and can quickly track any given reference signal. The numerical simulation results show that this method not only has the advantages of fast response, high control accuracy, but also strong immunity to internal and external perturbations of chaotic systems. Therefore, it is a robust control method with robustness. Under uncertain system control The field has an important role.