H_ ¡Þ Iterative Learning Control Algorithm And Its Application Of The Turbine Governor System

Along with the expansion of electrical system scale, the stable problem of electricity becomes more and more rasping. The speed adjustment system of turbine is the core part of a turbine system, while the turbine system is crucial device to provide energy in the electrical system. In this case, the control quality merits of the speed adjustment system of turbine will influence the quality of energy in the electrical system. At this time, the control of speed basically adopts normal PID control, and though this control strategy has better advantages of structural simplicity, but the parameter does not have the function of self-revision. Thus, this strategy cannot control the running of different operating points. In this article, we design iteration control algorithm by adopting H∞Iterative learning control, in order to improve the robustness and regulatory of speed control of turbine generator.Firstly, this article introduces the initiation of this research topic and its significance, the history of speed adjustment of turbine,existent research and its development. After that, the article set up the model of speed adjustment system of turbine. Then, it Iterative learning control,related theories of H∞control, and analyses their own characteristics respectively,merits and the its development and application in these years.The core part of this article will combine H∞control and Iterative learning control, apply a kind of Iterative learning control algorithm based on H∞for the first time. It simulates such algorithm by adopting AMESim and Simulink, and combines the simple model of speed adjustment system of turbine. The simulating results shows that, comparing to Iterative learning control and normal PID controller, the dynamic quality of speed adjustment of turbine has been greatly improved, and this controller has much better robustness, and it can inhibit the overshoot because of some serious interference. It has practical value and widely-used future.Finally, it concludes the whole article, and points out the inadequate and the task to complete.