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Optimized Model Based Controller with Model Plant Mismatch for NMP Mitigation in Boost Converter

R. Prasanna1,*, Uma Govindarajan1, N. S. Bhuvaneswari2

1 Department of Electrical and Electronics Engineering, Power System Division, College of Engineering Guindy, Anna University, Chennai, 600025, India
2 Department of Electrical and Electronics Engineering, GKM College of Engineering and Technology, Chennai, 600063, India

* Corresponding Author: R. Prasanna. Email:

Computer Systems Science and Engineering 2023, 46(2), 1961-1979.


In this paper, an optimized Genetic Algorithm (GA) based internal model controller-proportional integral derivative (IMC-PID) controller has been designed for the control variable to output variable transfer function of dc-dc boost converter to mitigate the effect of non-minimum phase (NMP) behavior due to the presence of a right-half plane zero (RHPZ). This RHPZ limits the dynamic performance of the converter and leads to internal instability. The IMC PID is a streamlined counterpart of the standard feedback controller and easily achieves optimal set point and load change performance with a single filter tuning parameter λ. Also, this paper addresses the influences of the model-based controller with model plant mismatch on the closed-loop control. The conventional IMC PID design is realized as an optimization problem with a resilient controller being determined through a genetic algorithm. Computed results suggested that GA–IMC PID coheres to the optimum designs with a fast convergence rate and outperforms conventional IMC PID controllers.


Cite This Article

R. Prasanna, U. Govindarajan and N. S. Bhuvaneswari, "Optimized model based controller with model plant mismatch for nmp mitigation in boost converter," Computer Systems Science and Engineering, vol. 46, no.2, pp. 1961–1979, 2023.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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