Double Closed-Loop PI Control of Three-Phase Inverters by Binary-Coded Extremal Optimization

• Published in: IEEE access Vol. 4; pp. 7621 - 7632
• Main Authors: Dai, Yu-Xing, Wang, Huan, Zeng, Guo-Qiang
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Closed loop systems; Closed-loop PI controller; Control systems design; Controllers; Design methodology; Design optimization; Electric potential; extremal optimization; Genetic algorithms; Harmonic distortion; Inverters; Linear programming; Optimization; Particle swarm optimization; PI controllers; Proportional integral; three-phase inverter; Total harmonic distortion; Voltage; Voltage control; Waveforms
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2016.2619691

How to design an effective and efficient double closed-loop proportional-integral (PI) controller for a three-phase inverter to obtain satisfied quality of output voltage waveform is of great practical significance. This paper presents a novel double closed-loop PI controller design method for a three-phase inverter based on a binary-coded extremal optimization (BCEO) algorithm. The basic idea behind the proposed method is first formulating the optimal design problem of double closed-loop PI controller for a three-phase inverter as a typical constrained optimization problem, where the total harmonic distortion and the integral of time weighted absolute error of output voltage waveform are weighted as the optimization objective function, and then a BCEO algorithm is designed to solve this formulated problem. The superiority of the proposed method to Z-N empirical method, binary-coded genetic algorithm, binary-coded particle swarm optimization is demonstrated by both simulation and experimental results on a 20-kW three-phase inverter with nominal and variable loads.