Derivative-Free Direct Search Optimization Method for Enhancing Performance of Analytical Design Approach-Based Digital Controller for Switching Regulator

Ghulam Abbas, Muhammad Qumar Nazeer, Valentina Balas, Tsung-Chih Lin, Marius M. Balas, Muhammad Usman Asad, Ali Raza, Muhammad Naeem Shehzad, Umar Farooq and Jason Gu
Additional contact information
Ghulam Abbas: Electrical Engineering Department, The University of Lahore, Lahore 54000, Pakistan
Muhammad Qumar Nazeer: Electrical Engineering Department, The University of Lahore, Lahore 54000, Pakistan
Tsung-Chih Lin: Department of Electronic Engineering, Feng Chia University, Taichung 40744, Taiwan
Marius M. Balas: Automatics and Applied Software Department, “Aurel Vlaicu” University of Arad, Arad 310130, Romania
Muhammad Usman Asad: Electrical and Computer Engineering Department, Dalhousie University, Halifax, NS B3H 4R2, Canada
Ali Raza: Electrical Engineering Department, The University of Lahore, Lahore 54000, Pakistan
Muhammad Naeem Shehzad: COMSATS Institute of Information and Technology, Lahore 54000, Pakistan
Umar Farooq: Electrical and Computer Engineering Department, Dalhousie University, Halifax, NS B3H 4R2, Canada
Jason Gu: Electrical and Computer Engineering Department, Dalhousie University, Halifax, NS B3H 4R2, Canada

Energies, 2019, vol. 12, issue 11, 1-18

Abstract: Although an analytical design approach-based digital controller—which is essentially a deadbeat controller—shows zero steady-state error and no intersampling oscillations, it takes a finite number of sampling periods to settle down to a steady-state value. This paper describes the application of a derivative-free Nelder–Mead (N–M) simplex method to the digital controller for retuning of its coefficients intelligently to ensure improved settling and rise times without disturbing the deadbeat controller characteristics (i.e., no ripples between the sampling periods and no steady-state error). A switching-mode buck regulator working at 1 MHz in continuous conduction mode (CCM) is considered as a plant. Numerical simulation results depict that the N–M algorithm-based optimized digital controller not only shows improved steady-state and transient performance but also guarantees rigorous robustness against model uncertainty and disturbance as compared to its traditional counterpart, as well as the other optimized digital controller fine-tuned through other derivative-free metaheuristic optimization techniques, such as the genetic algorithm (GA). A system generator-based hardware software co-simulation is also performed to validate the simulation results.

Keywords: Nelder–Mead simplex method; analytical design approach based digital controller; engineering optimization; switching regulator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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