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Optimal fractional order PI λ D μ controller for stabilization of cart‐inverted pendulum system: Experimental results
Author(s) -
Mondal Reetam,
Chakraborty Arindam,
Dey Jayati,
Halder Suman
Publication year - 2020
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2003
Subject(s) - control theory (sociology) , inverted pendulum , mathematics , robustness (evolution) , settling time , pid controller , multiplicative function , open loop controller , controller (irrigation) , computer science , step response , physics , engineering , control engineering , mathematical analysis , nonlinear system , temperature control , agronomy , control (management) , quantum mechanics , artificial intelligence , biology , biochemistry , chemistry , closed loop , gene
The cart‐inverted pendulum is a non‐minimum phase system having right half s‐plane pole and zero in close vicinity to each other. Linear time invariant (LTI) classical controllers cannot achieve satisfactory loop robustness for such systems. Therefore, in the present work the fractional order PI λ D μ (FOPID) controller is addressed for robust stabilization of the system, since fractional order controller design allows more degrees of freedom compared to its integer order counterparts by virtue of its two parameters λ and μ. The controller parameters are tuned by three evolutionary optimization techniques. In order to select the controller parameters optimally, a novel non‐linear fitness function using integral time square error (ITSE), settling‐time, and rise time is proposed here. The control algorithm is implemented successfully in real‐time. Moreover, stability analysis of the system compensated with a fractional order controller is presented using Riemann surface. Robustness of the physical cart‐inverted pendulum system towards multiplicative gain variations and plant parameter variations is verified. In this regard, it is shown that the fractional order controller provides satisfactory robust performance in both simulation and real‐time system.