Optimal Design for 2-DOF PID Controller Based on Maximum Entropy Estimation of Distribution Algorithm
Estimation of Distribution Algorithms(EDAs)isnew kinds of colony evolution algorithms.It producesits new generation by constructing probabilitydistribution model through counting excellentinformation of individuals of present colony EDAs first,and then sampling the model To solve the NP-Hardquestion as EDAs searching optimum networkstructure,a new Maximum Entropy Estimation ofDistribution Algorithm(MEEDA)is proposed;and thepaper puts forward the MEEDA to optimize two degreeof freedom PID controller parameters.The simulationresults show that the optimal 2-DOF PID controllerhas simultaneously both the characteristics ofcommand tracking and disturbance rejection,so wecan see the simulation verifies the effectiveness of theEDA algorithm.
Lu Lin
School of Management,Guilin University of Electronic Technology,Guilin,541004,China
国际会议
厦门
英文
1338-1342
2008-11-17(万方平台首次上网日期,不代表论文的发表时间)