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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Published in:	Transactions of the Institute of Measurement and Control Vol. 37; no. 4; pp. 505 - 514
Main Authors:	Mahmoodabadi, MJ, Taherkhorsandi, M, Talebipour, M, Castillo-Villar, KK
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01.04.2015 Sage Publications Ltd
Subjects:	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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Abstract	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.
AbstractList	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.
Author	Talebipour, M Castillo-Villar, KK Mahmoodabadi, MJ Taherkhorsandi, M
Author_xml	– sequence: 1 givenname: MJ surname: Mahmoodabadi fullname: Mahmoodabadi, MJ organization: Department of Mechanical Engineering, The University of Texas at San Antonio, USA – sequence: 2 givenname: M surname: Taherkhorsandi fullname: Taherkhorsandi, M email: milad.taherkhorsandi@utsa.edu, m.taherkhorsandi@gmail.com organization: Department of Mechanical Engineering, The University of Texas at San Antonio, USA – sequence: 3 givenname: M surname: Talebipour fullname: Talebipour, M organization: Department of Mechanical Engineering, The University of Texas at San Antonio, USA – sequence: 4 givenname: KK surname: Castillo-Villar fullname: Castillo-Villar, KK organization: Department of Mechanical Engineering, The University of Texas at San Antonio, USA
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Keywords	decoupled sliding mode control the inverted pendulum and cart system PID control genetic algorithm optimization Adaptive robust control
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Snippet	While proportional-integral-derivative (PID) control is the most applicable controller in industry, it does not provide important qualities, such as stability...
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SubjectTerms	Adaptive algorithms Adaptive control systems Control systems Disturbances Genetic algorithms Optimization Robust control Sliding mode control Tracking Vibration
Title	Adaptive robust PID control subject to supervisory decoupled sliding mode control based upon genetic algorithm optimization
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