Optimal Control of DC motor using Equilibrium Optimization Algorithm

Mamta, .; Singh, Baljit

doi:10.17577/ijertv9is050877

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…It is clear that the EO algorithm outperformed commonly used algorithms such as GA and PSO and outperformed the more recently introduced algorithms such as GSA, SSA, GWO and CMA-ES. The effectiveness and capability of EO algorithm is evaluated for various optimization problems, such as tuning of PID controller parameters for direct current (DC) motor control (Mamta and Singh, 2020), automatic generation control of interconnected power system (Agwa, 2020) and tuning PID parameters for AVR system . As EO is a newly proposed algorithm, it has been used in a limited number of studies.…”

Section: Equilibrium Optimizermentioning

confidence: 99%

A novel fractional order PID plus derivative (PI^λD^µD^µ²) controller for AVR system using equilibrium optimizer

Tabak

2021

COMPEL

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Purpose The purpose of this paper is to improve transient response and dynamic performance of automatic voltage regulator (AVR). Design/methodology/approach This paper proposes a novel fractional order proportional–integral–derivative plus derivative (PIλDµDµ2) controller called FOPIDD for AVR system. The FOPIDD controller has seven optimization parameters and the equilibrium optimizer algorithm is used for tuning of controller parameters. The utilized objective function is widely preferred in AVR systems and consists of transient response characteristics. Findings In this study, results of AVR system controlled by FOPIDD is compared with results of proportional–integral–derivative (PID), proportional–integral–derivative acceleration, PID plus second order derivative and fractional order PID controllers. FOPIDD outperforms compared controllers in terms of transient response criteria such as settling time, rise time and overshoot. Then, the frequency domain analysis is performed for the AVR system with FOPIDD controller, and the results are found satisfactory. In addition, robustness test is realized for evaluating performance of FOPIDD controller in perturbed system parameters. In robustness test, FOPIDD controller shows superior control performance. Originality/value The FOPIDD controller is introduced for the first time to improve the control performance of the AVR system. The proposed FOPIDD controller has shown superior performance on AVR systems because of having seven optimization parameters and being fractional order based.

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Section: Equilibrium Optimizermentioning

confidence: 99%

A novel fractional order PID plus derivative (PI^λD^µD^µ²) controller for AVR system using equilibrium optimizer

Tabak

2021

COMPEL

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“…This approach is widely acknowledged for systematically designing controllers to optimize performance according to a specified index. In the literature, there are studies in the field of optimal control of DC motors using various artificial neural networks (Khomenko et al, 2013;Wang et al, 2019) or metaheuristic algorithms (Mamta & Singh, 2020;Rasheed, 2020). However, despite yielding successful results, these algorithms come with a high computational burden.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Optimal Control Strategies: LQR, PID, and Sliding Mode Control for DC Motor Position Performance

KIZMAZ

2023

Gazi University Journal of Science Part A: Engineering and Innovation

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This study applies these control methods to the DC motor system to examine the robustness and performance of four optimal control methods. Optimal controllers aim to control the system to minimize a selected performance index. These control methods offer advantages such as improving energy efficiency, reducing costs, and enhancing system security. The Linear Quadratic Regulator (LQR) based controller is the primary optimal control method. Two well-known traditional control techniques include the Proportional-Integral-Derivative (PID) and Integral Sliding Mode Controller (ISMC). However, they do not usually contain optimal properties. In this study, the optimal control algorithms, defined by obtaining controller parameters through the Riccati equation, are applied to achieve accurate position-tracking control in a DC motor system using Matlab/Simulink. The integral term-based algorithms seem to be robust and eliminate steady-state errors. The optimal PID controller could not provide the minimum performance index rather than the others. LQR and optimal ISMC algorithms could allow the performance index to be a minimum. An illustrative comparison of the performances of all optimal control algorithms has been presented through graphical representation, along with corresponding interpretations.

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Optimal Control of DC motor using Equilibrium Optimization Algorithm

Cited by 2 publications

References 14 publications

A novel fractional order PID plus derivative (PI^λD^µD^µ²) controller for AVR system using equilibrium optimizer

A novel fractional order PID plus derivative (PI^λD^µD^µ²) controller for AVR system using equilibrium optimizer

Comparative Analysis of Optimal Control Strategies: LQR, PID, and Sliding Mode Control for DC Motor Position Performance

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Optimal Control of DC motor using Equilibrium Optimization Algorithm

Cited by 2 publications

References 14 publications

A novel fractional order PID plus derivative (PIλDµDµ2) controller for AVR system using equilibrium optimizer

A novel fractional order PID plus derivative (PIλDµDµ2) controller for AVR system using equilibrium optimizer

Comparative Analysis of Optimal Control Strategies: LQR, PID, and Sliding Mode Control for DC Motor Position Performance

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A novel fractional order PID plus derivative (PI^λD^µD^µ²) controller for AVR system using equilibrium optimizer

A novel fractional order PID plus derivative (PI^λD^µD^µ²) controller for AVR system using equilibrium optimizer