Research On Modern Control Strategy Of Hydraulic Turbine Governing System

Due to the continuous development of power system, while the high head and large capacity hydraulic units emerging, so the turbine governor of increasingly high performance requirements, various aspects of the turbine governor processing, assembly process and hardware design in improved while research on turbine governor control strategy is significant work item. This article summarizes the current adjustment control law, and on this basis for turbine regulating system of intelligent control strategies Simulation Research.In this paper, modular modeling method, the turbine regulating system into pressure water systems, turbine, generator, governor and several other subsystems, each mechanism modeling was carried out, on the basis of mathematical entire system model.For conventional PID controller is difficult to solve the stability, speed and reduce conflict between deviation, this paper introduces a self-learning, the neural adaptive control algorithm functional element designed single neuron adaptive controller; simulation results It indicates that the controller has good quickness, a small overshoot.On this basis, based on the MATLAB / Simulink environment, namely conventional PID control, incremental improvement of single neuron PID control and turbine based on genetic algorithm adaptive PID control adjustment system simulation model. Through the analysis of simulation results verify the feasibility of advanced control strategies and superiority.We study the neural networks and genetic algorithms, intelligent control strategy, which combined with the traditional PID control strategy, learn from each other, an improved incremental single neuron PID control and adaptive genetic algorithm based on PID control, so turbine regulating system dynamics have significantly improved.