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Information Journal Paper

Title

OPTIMIZATION OF THE LYAPUNOV BASED NONLINEAR CONTROLLER PARAMETERS IN A SINGLE-PHASE GRID-CONNECTED INVERTER

Pages

  68-78

Keywords

IMPERIALIST COMPETITIVE ALGORITHM (ICA) 
GENETIC ALGORITHM (GA) AND PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM 

Abstract

 In this paper, optimization of the backstepping controller parameters in a grid-connected single-phase inverter is studied using Imperialist competitive algorithm (ICA), Genetic Algorithm (GA) and Particle swarm optimization (PSO) algorithm. The controller is developed for the system based on state-space averaged model. By selection of a suitable Lyapunov function, stability of the proposed controller is proved in a wide range of operation. Considering different optimization algorithms, steady-state and dynamic responses of the developed system are studied. In addition, THD values for different test are compared. Finally, to verify accuracy of the proposed method, designed controller is simulated using MATLAB/Simulink software.

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  • Cite

    APA: Copy

    HAJBANI, VADOOD, & SALIMI, MAHDI. (2014). OPTIMIZATION OF THE LYAPUNOV BASED NONLINEAR CONTROLLER PARAMETERS IN A SINGLE-PHASE GRID-CONNECTED INVERTER. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, 2(8), 68-78. SID. https://sid.ir/paper/333792/en

    Vancouver: Copy

    HAJBANI VADOOD, SALIMI MAHDI. OPTIMIZATION OF THE LYAPUNOV BASED NONLINEAR CONTROLLER PARAMETERS IN A SINGLE-PHASE GRID-CONNECTED INVERTER. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING[Internet]. 2014;2(8):68-78. Available from: https://sid.ir/paper/333792/en

    IEEE: Copy

    VADOOD HAJBANI, and MAHDI SALIMI, “OPTIMIZATION OF THE LYAPUNOV BASED NONLINEAR CONTROLLER PARAMETERS IN A SINGLE-PHASE GRID-CONNECTED INVERTER,” JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, vol. 2, no. 8, pp. 68–78, 2014, [Online]. Available: https://sid.ir/paper/333792/en

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