基于自适应全局滑模的电力系统混沌振荡控制

对电力系统的二阶模型进行了混沌振荡的动力学行为分析,包括时域波形图、相图的分析。把全局滑模控制与自适应控制结合起来,设计了自适应全局滑模控制器来抑制该二阶电力系统的混沌振荡。设计的控制器克服了滑模控制需要知道系统扰动上界的缺点,同时保留了滑模控制具有良好的鲁棒性的优点。在控制器中,采用了两种不同的自适应率来对系统的扰动进行估计,并对这两种不同的自适应率在控制效果上进行了比较。仿真结果验证了控制器的有效性和良好的鲁棒性。

Chaotic oscillation control in power system based on adaptive total sliding mode

This paper analyzes the dynamic behavior of chaotic oscillation of a second-order power system model, including the analysis of time domain waveforms and phase diagrams. In order to control the chaotic oscillation in power system, an adaptive total sliding mode controller is designed by combining total sliding mode control with adaptive control. The designed controller overcomes the shortcoming of the sliding mode control that need to know the upper bound of the disturbance, while retaining the advantage that the sliding mode control has good robustness. Two different adaptive laws are used to estimate the disturbance of the system, and the control effects of the two different adaptive rates are compared. The simulation results demonstrate the effectiveness and good robustness of the controller. This work is supported by Natural Science Foundation of Shandong Province (No. ZR2016EEM13).