NDLI: Optimal robust decoupled sliding mode control based on a Multi-objective Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Sahnehsaraei, M.A. Mahmoodabadi, M.J. Taherkhorsandi, M.
Copyright Year	2013
Description	Author affiliation: Iranian Gas Transm. Co., Nat. Iranian Gas Co., Ramsar, Iran (Sahnehsaraei, M.A.) \|\| Dept. of Mech. Eng., Sirjan Univ. of Technol., Sirjan, Iran (Mahmoodabadi, M.J.) \|\| Dept. of Mech. Eng., Univ. of Guilan, Rasht, Iran (Taherkhorsandi, M.)
Abstract	Optimal design of the decoupled sliding mode control (SMC) is a great and worthwhile challenge by regarding appropriate design parameters and objective function. In the present study, Genetic Algorithm (GA) is employed as an effectual smart evolutionary algorithm to design optimally the control coefficients of an Inverted Pendulum (IP) and to eliminate tedious and repetitive trial-and-error process. When decoupled SMC is used to address the problem, there has to be a trade-off between the error of the position and the error of the angle. Hence, a Multi-objective Genetic algorithm is used to design optimally the Pareto front of the problem by regarding the errors as objective functions. Moreover, simulation has been done by considering the case with external disturbance and without external disturbance. Then, the results implemented in the MATLAB software environment are contrasted with the experimental results. Numerical results and comparison analysis elucidates the superiority of the optimal robust proposed controller over the traditional decoupled sliding mode controller in terms of attenuating the chattering and actuator variations.
Sponsorship	IEEE Bulgaria Sect.
Starting Page	1
Ending Page	5
File Size	434362
Page Count	5
File Format	PDF
ISBN	9781479906598
e-ISBN	9781479906611
DOI	10.1109/INISTA.2013.6577641
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-19
Publisher Place	Bulgaria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sliding Mode Control Multi-objective Optimization Inverted Pendulum System Genetic Algorithm Linear programming Vectors Robustness Mathematical model Sliding mode control Optimization Genetic algorithms
Content Type	Text
Resource Type	Article

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