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Optimized PID Controller using Adaptive Differential Evolution with Mean- of-pbest Mutation Strategy


Authors



Abstract

On the basis of JADE (adaptive differential evolution with optional external archive) and the modified differential evolution with p-best crossover (MDE_pBX), this study attempts to propose a modified mutation strategy termed “DE/(pbest )/1” for the differential evolution (DE) algorithm, where “(pbest ) ̅ ” represents the mean of p top-best vectors. Two modified parameter adaptation mechanisms are also proposed to update the crossover rate and the scale factor, respectively, in an adaptive manner. The DE variant with the prosposed mutation strategy and two modified adaptation mechanisms is termed adaptive differential evolution with mean-of-pbest mutation strategy, denoted by ADE_pBM. In this study, the proposed two schemes are used not only to preserve the diversity of the population and prevent the premature convergence but also improve the search performance. The results of global optimization problems and the PID controller designs show that ADE_pBM is comparable to or better than the four state-of-the-art adaptive DE variants in terms of accuaracy, reliability and efficiency.


Keywords


Pages

Total Pages: 14

DOI
10.31209/2019.100000106


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Published

Online Article

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




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