CMAC与卡尔曼滤波复合控制AVR的优化研究

电力系统的动态稳定已成为现代电力系统工程中一个关键性问题。同步发电机自动电压调节器(Automatic Voltage Regular, AVR)对于电力系统的稳定发挥着重要作用。为使AVR系统适应更加复杂的工作环境，增强AVR抵抗外界随机干扰和快速跟随输入信号的能力，提出了小脑模型神经网络、积分分离式 (Proportional Integral Differential, PID)控制器和卡尔曼滤波器复合控制的策略。通过对云南某水电厂的一台发电机AVR模型的仿真研究可知:该控制策略对于方波输入信号有很强的跟随能力，系统响应速度快，调节时间短，并且对控制通道和测量通道的干扰有很强的抑制作用。仿真结果充分验证了该控制策略的可行性，有助于电力系统的稳定。

CMAC and Kalman filter composite control AVR optimization

Dynamic stability of the power system has become a key issue of modern power system engineering. Synchronous generator automatic voltage regulator (AVR) for the stability of the power system plays an important role. To make AVR system to adapt to a more complex work environment, and enhance AVR ability to resist to outside interference and to follow the input signal fast, a composite control strategy including CMAC, strategy points separate PID controller and Kalman filter is proposed. Through the simulation of a generator AVR model in a Hydropower Station in Yunnan Province, it is found that:the control strategy for a square wave input signal has a strong ability to follow the system response speed, adjusting time is short, and the control channel and the measurement channel interference has a strong inhibitory effect, which fully verify the feasibility of the control strategy and contribute to the stability of the power system.