Research And Simulation Of Fuzzy Neural PID Control In Hydraulic Turbine Governing System

With the continuous expansion of the power network, appearing of high water head and large capacity hydroelectric generating set, a higher requirement on the hydraulic turbine governor, not only the hardware design should be improved, processing, assembly process and other aspects, but also a deeply study at the control strategy of the hydraulic turbine governor could be learned,are demanded. At present, conventional PID control method is the most common way in hydraulic turbine governing system. Although it has strong robustness and simple structure, it is difficult to achieve the online self-tuning of PID parameters, which makes it difficult to obtain satisfactory control effect in different operating conditions. For these problems, I put forward the fuzzy neural PID control applied to the hydraulic turbine governing system. It can combine the learning ability of neural network with the reasoning ability of fuzzy control.In this paper, it’s aim at concentrating the shortage of common PID control and single intelligent control, which bring in a kind of fuzzy neural PID control and have a deeply study on its algorithm, simulation and other aspects. Based on the structure and working principle of the hydraulic turbine governing system, the research built linear models in the small fluctuations situation for the components of the regulation system. In the meanwhile,MATLAB/Simulink software is used to analyze the influence of the system in different parameters. Last but not the least, for fuzzy PID controller and fuzzy neural PID controller,I build their own model based on the hydraulic turbine governing system respectively, and compare with the simulation of conventional PID control. The results show that the fuzzy neural PID control has a better control quality in suppress super tone and it could maintain the stability of system. Its control effects are significantly better than that of conventional PID control.