摘要
针对水轮机调节系统中传统PID控制规律存在适应性不足的问题,设计了一种新型的分数阶模糊PID控制器(FOFPID),该控制器在模糊PID控制器(FPID)的基础上将微分及积分阶次进行从整数阶到非整数阶的拓展,并利用改进Oustaloup滤波算法对该控制器中的分数阶微积分进行数字实现.提出了一种基于Rechenberg五分之一法则的动态适应量子粒子群算法(DAQPSO),对水轮机调节系统控制器参数进行优化.仿真试验表明:FOFPID控制器在水轮机调节系统扰动幅度及运行工况变化时具有较强的适应性,并在水轮机调节系统参数发生变化时具有更好的鲁棒性;与QPSO,RLQPSO及MLQPSO相比,DAQPSO算法具有较好的计算精度,能为水轮机调节系统控制器提供更优的参数候选方案.
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 the parameters optimization in hy- draulic turbine governing system. The simulation results show that FOFPID controller has better adap tability when the disturbance amplitude and operational condition of hydraulic turbine governing system change, and it 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.
出处
《排灌机械工程学报》
EI
CSCD
北大核心
2016年第6期504-510,共7页
Journal of Drainage and Irrigation Machinery Engineering
关键词
水轮机调节系统
分数阶模糊PID控制器
改进Oustaloup滤波算法
DAQPSO算法
hydraulic turbine governing system
fractional-order fuzzy PID controller
improved Oustaloup recursive approximation
dynamic adaptation quantum-behaved particle swarm optimization
