Adaptive robust PID control subject to supervisory decoupled sliding mode control based upon genetic algorithm optimization

While proportional-integral-derivative (PID) control is the most applicable controller in industry, it does not provide important qualities, such as stability in case of uncertainties, being robust to disturbances, and optimal control inputs. To address the issue, this paper presents adaptive robust...

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Vydané v:Transactions of the Institute of Measurement and Control Ročník 37; číslo 4; s. 505 - 514
Hlavní autori: Mahmoodabadi, MJ, Taherkhorsandi, M, Talebipour, M, Castillo-Villar, KK
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London, England SAGE Publications 01.04.2015
Sage Publications Ltd
Predmet:
Adaptive algorithms
Adaptive control systems
Control systems
Disturbances
Genetic algorithms
Optimization
Robust control
Sliding mode control
Tracking
Vibration
decoupled sliding mode control
the inverted pendulum and cart system
PID control
genetic algorithm optimization
Adaptive robust control
ISSN:0142-3312, 1477-0369
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Shrnutí:While proportional-integral-derivative (PID) control is the most applicable controller in industry, it does not provide important qualities, such as stability in case of uncertainties, being robust to disturbances, and optimal control inputs. To address the issue, this paper presents adaptive robust PID control subject to supervisory decoupled sliding mode control for an inverted pendulum system optimized by using a genetic algorithm optimization. Decoupled sliding mode control is a variable structure control method having appropriate features, such as good tracking performance and robustness with regard to disturbances. To this end, decoupled sliding mode control as a supervisory controller is utilized in accordance with PID control to deliver necessary control inputs and enhance the performance of the controller. Effectual methods such as the transfer function which resulted in having minimum chattering in the controller is employed in this paper. An adaptation mechanism is used to update the proportional, derivative, and integral gains of PID control. Then, the parameters of the controller are ascertained by using a genetic algorithm. The results and analysis prove the proper performance of the controller via providing an optimal smooth control input, proper tracking performance, and the elimination of the chattering problem.
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ISSN:0142-3312
1477-0369
DOI:10.1177/0142331214543295