Study on adaptive PID algorithm of hydraulic turbine governing system based on fuzzy neural network

Liangbao Tang; Jumin Bao

doi:10.1117/12.718183

30 October 2006 Study on adaptive PID algorithm of hydraulic turbine governing system based on fuzzy neural network

Liangbao Tang, Jumin Bao

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63584F (2006) https://doi.org/10.1117/12.718183
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

The conventional hydraulic turbine governing system can't automatically modulate PID parameters according to the dynamic process of the system, the generator speed is unstable and the mains frequency fluctuation results in. To solve the above problem, the fuzzy neural network (FNN) and the adaptive control are combined to design an adaptive PID algorithm based on the fuzzy neural network which can effectively control the hydraulic turbine governing system. Finally, the improved mathematic model is simulated. The simulation results are compared with the conventional hydraulic turbine's. Thus the validity and superiority of the fuzzy neural network PID algorithm have been proved. The simulation results show that the algorithm not only retains the functions of fuzzy control, but also provides the ability to approach to the non-linear system. Also the dynamic process of the system can be reflected more precisely and the on-line adaptive control is implemented. The algorithm is superior to other methods in response and control effect.

Citation Download Citation

Liangbao Tang and Jumin Bao "Study on adaptive PID algorithm of hydraulic turbine governing system based on fuzzy neural network", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63584F (30 October 2006); https://doi.org/10.1117/12.718183

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