Hydraulic turbine governing system based on fractional-order fuzzy PID control
ZHANG Xing1, ZHANG Dehu1, LIU Yingying2
1.College of Energy and Electric Engineering, Hohai University, Nanjing, Jiangsu 211100, China; 2.Sichuan Electric Vocational and Technical College, Chengdu, Sichuan 610072, China
Abstract：For the disadvantage of the traditional PID control strategy, a novel fractional-order fuzzy PID(FOFPID)controller is designed, which expands the differential and integral orders from integer order to non-integer order on the basis of fuzzy PID controller(FPID). The improved Oustaloup recursive approximation is used to realize the fractional calculus. By combining Rechenberg′s 1/5 criteria and quantum-behaved particle swarm optimization(QPSO), the dynamic adaptation quantum-behaved particle swarm optimization(DAQPSO)is proposed and applied to parameters optimization in hydraulic turbine governing system. The simulation results show that FOFPID controller has better adaptability when the disturbance amplitude and operational condition of hydraulic turbine governing system change, and has stronger robustness with changeable parameters of hydraulic turbine governing system. Compared with the QPSO, RLQPSO and MLQPSO, the DAQPSO has higher precision. It could provide a better optional scheme of parameters optimization in hydraulic turbine governing system.
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