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International Journal of Automotive Technology > Volume 24(3); 2023 > Article
International Journal of Automotive Technology 2023;24(3): 851-862.
doi: https://doi.org/10.1007/s12239-023-0069-7
NOVEL OFF-LINE SELF-TUNING CONTROLLER WITH GUARANTEED STABILITY
Ali Soltani Sharif Abadi 1, Andrew Ordys 1, Barbara Pierscionek 2
1Institute of Automatic Control and Robotics, Faculty of Mechatronics, Warsaw University of Technology
2Faculty of Health, Education, Medicine and Social Care, Medical Technology Research Centre, Anglia Ruskin University, Chelmsford Campus
PDF Links Corresponding Author.  Ali Soltani Sharif Abadi  , Email. ali.soltani_sharif_abadi. dokt@pw.edu.pl
ABSTRACT
Tuning control parameters is an essential task for the controller in all practical applications. This paper presents a new Lyapunov-based off-line self-tuning control (OSTC). method. The OSTC is a nonlinear controller with applications to nonlinear systems. The OSTC uses the settling point and settling time to tune the control parameters. The presented algorithm tested 150,000 simulations to formulate the control parameters. The tuning task is based on the integral of the absolute error (IAE). and integral of time multiplied by absolute error (ITAE). performance criteria. Simulink/MATLAB was employed to test the OSTC method by defining two regulation and tracking control problems. For each control problem, six practices are considered, and the proposed algorithm is validated by comparing the formulated Equations of the control parameters.
Key Words: Nonlinear systems, Self-tuning, Lyapunov stability, Control methods
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