Design of adaptive memristor PI control system based on fuzzy algorithm
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1.中国科学院光束控制重点实验室 成都 610209; 2.中国科学院光电技术研究所 成都 610209; 3.中国科学院大学 北京 100049

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TP273

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    Abstract:

    In order to solve the problems that the parameters of traditional analog PI controller are not easy to adjust and the parameters can not be adjusted online when the controlled object changes, memristor is introduced to realize the online adjustment of controller parameters. At the same time, aiming at the problem that the resistance value of the memristor is not easy to determine, a fuzzy algorithm is introduced, and a fuzzy memristor PI controller is combined with the fuzzy algorithm to design a fuzzy memristor PI control system, which realizes the adaptive adjustment of the controller parameters. Based up on the oretical derivation,not only the Multisim simulation was carried out,but also the circuit experiment was conducted. The results show that compared with traditional analog PI controller, the parameters of the adaptive memristor PI control system based on fuzzy algorithm can be adjusted online, and has strong adaptive ability. Moreover, the adaptive memristor PI control system based on fuzzy algorithm can reduce the overshoot of the system by 66.27%, and has better tracking performance.

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  • Online: February 05,2024
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