Fuzzy Adaptive PID Controller Optimization Design in Temperature Control System
2014 ◽
Vol 989-994
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pp. 3157-3160
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A new self-adjusting PID controller based fuzzy inferences is proposed. Using fuzzy inferences method, the PID parameters can be adjusted adaptively online for the varying state of the system. This approach has more significant performance and robustness than conventional PID contorllers in any conditions. Traditional fuzzy control systems have difficulties for plants with great delay.A fuzzy PID system based on the Smith compensation theorem is proposed in the paper.It allows to change the transfer function of the plant.Simulation results are also given.
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2015 ◽
Vol 727-728
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pp. 633-636
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2011 ◽
Vol 418-420
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pp. 1756-1759
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2020 ◽
Vol 1684
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pp. 012140
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