Combined PID and LQR controller using optimized fuzzy rules
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In this paper, a combination of PID controller and linear quadratic regulator is proposed. A fuzzy switching module is applied to optimally fuse both controllers. A new adaptive version of charged system search algorithm optimizes the membership functions of the fuzzy module. By the time, the algorithm changes itself to find a proper solution faster. To show the efficiency of the designed intelligent controller, the results of a simulated unicycle robot under disturbances are presented.
KeywordsArtificial intelligence Adaptive charged system search PID controller Linear quadratic regulator Fuzzy logic
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Conflict of interest
All authors declare that they have no conflict of interest.
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This article does not contain any studies with human participants or animals performed by any of the authors.
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