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Neural Computing and Applications
Published in: Neural Computing and Applications 7/2020

30-03-2019 | Original Article

Robust nonlinear fractional order fuzzy PD plus fuzzy I controller applied to robotic manipulator

Authors: Himanshu Chhabra, Vijay Mohan, Asha Rani, Vijander Singh

Published in: Neural Computing and Applications | Issue 7/2020

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Abstract

The aim of this article is to utilize fractional calculus for performance enhancement of nonlinear fuzzy PD + I controller. A fractional order fuzzy PD + I controller (FOFPD + I) is designed and implemented to control complex, uncertain and nonlinear robotic manipulator. FOFPD + I controller is derived from fractional order PD and fractional order I controller. The proposed control strategy has an adaptive capability due to its nonlinear gains and preserves the linear structure of fractional order PD + I controller. Further, integer-order fuzzy PD + I controller (FPD + I) and conventional PID controllers are also designed for comparative analysis. The optimum parameter values of FOFPD + I, FPD + I and PID controllers are obtained using non-dominated sorting genetic algorithm-II. The effectiveness of proposed controller is examined for reference tracking and disturbance rejection problems of robotic manipulator. The designed controllers are also validated experimentally on DC servomotor. Simulation and experimental results prove the superiority of FOFPD + I controller as compared to its integer-order equivalent and conventional PID controllers for control of robotic manipulator.
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Appendix
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Metadata
Title
Robust nonlinear fractional order fuzzy PD plus fuzzy I controller applied to robotic manipulator
Authors
Himanshu Chhabra
Vijay Mohan
Asha Rani
Vijander Singh
Publication date
30-03-2019
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 7/2020
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04074-3

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