An optimal and intelligent control strategy for a class of nonlinear systems: adaptive fuzzy sliding mode

Mohammad Reza Soltanpour; Mohammad Hassan Khooban; Mohammad Reza Khalghani

doi:10.1177/1077546314526920

journal article Apr 22, 2014

An optimal and intelligent control strategy for a class of nonlinear systems: adaptive fuzzy sliding mode

Mohammad Reza Soltanpour Mohammad Hassan Khooban Mohammad Reza Khalghani

Journal of Vibration and Control Vol. 22 No. 1 pp. 159-175 · SAGE Publications

View at Publisher Save 10.1177/1077546314526920

Abstract

In this paper, an optimal adaptive fuzzy sliding mode controller is presented for a class of nonlinear systems. In the proposed control, in the beginning, the boundaries of parametric uncertainties, disturbances and un-modeled dynamics are reduced using a feedback linearization approach. Next, in order to overcome the remaining uncertainties, a sliding mode controller is designed. Mathematical proof shows that the closed-loop system with the proposed control is globally asymptotically stable. Using sliding mode control causes the undesirable chattering phenomenon to occur in the control input. Next, in order to remove the undesirable chattering phenomenon, an adaptive fuzzy approximator is designed to approximate the maximum boundary of the remaining uncertainties. Another mathematical proof shows that the closed-loop system with the proposed control is globally asymptotically stable in the presence of structured and unstructured uncertainties, and external disturbances. Finally, the self-adaptive modified bat algorithm is used to determine the coefficients of the adaptive fuzzy sliding mode control and the coefficients of the membership functions of the adaptive fuzzy approximator. To investigate the performance of the proposed controller, an inverted pendulum system is used as a case study. Simulation results verify the desirable performance of the optimal adaptive fuzzy sliding mode control.

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Citations

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References

Details

Published: Apr 22, 2014
Vol/Issue: 22(1)
Pages: 159-175
License: View

Authors

M

Mohammad Reza Soltanpour

Department of Electrical Engineering, Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran

M

Mohammad Hassan Khooban

Department of Electrical Engineering, Islamic Azad University, Sarvestan Branch, Sarvestan, Iran

M

Mohammad Reza Khalghani

Department of Electrical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran

Cite This Article

Mohammad Reza Soltanpour, Mohammad Hassan Khooban, Mohammad Reza Khalghani (2014). An optimal and intelligent control strategy for a class of nonlinear systems: adaptive fuzzy sliding mode. Journal of Vibration and Control, 22(1), 159-175. https://doi.org/10.1177/1077546314526920

An optimal and intelligent control strategy for a class of nonlinear systems: adaptive fuzzy sliding mode

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