【摘要】 基于一种非线性鲁棒控制理论,针对一类SISO仿射非线性系统,提出一种非线性控制器的优化设计方法;利用遗传算法优化控制器参数,使系统的预期动力学方程按照明确的性能指标进行选取;将针对刚性水锤效应的水轮发电机组设计的非线性控制器应用到弹性水锤模型对象,并与精确反馈线性化(EFL)方法所设计的控制系统相比较。结果表明,该文方法所设计的控制系统能较好适应机组模型结构和参数的变化;在发生三相短路和负荷扰动时能取得满意的动态性能。该方法有利于提高水轮发电机组的适应性和鲁棒性。更多还原

【Abstract】 Based on a kind of nonlinear robust control theory, this paper presents an optimum nonlinear controller for a class of SISO affine nonlinear systems. In order to obtain desired dynamics, the controller parameters are optimized based on genetic algorithms according to the specified performance indices. The controller designed for the non-elastic water hammer model is applied to the elastic one. Results are compared with the exact feedback linearization design. This proposed nonlinear controller demonstrates not only better adaptability against changes of model and parameters, but also excellent dynamic performance against three-phase short circuit fault and load disturbances. The suggested controller performs powerful functions for improving the adaptability and robustness of hydroturbine generator set.更多还原