The Open Electrical & Electronic Engineering Journal

2016, 10 : 27-35
Published online 2016 April 29. DOI: 10.2174/1874129001610010027
Publisher ID: TOEEJ-10-27

RESEARCH ARTICLE
Research of the Inverter Control Strategy Based on the Ant Colony Algorithm and the Fuzzy Control Method

Ren Xian, *
Shanxi Vocational and Technical College of Electric Power, Taiyuan, 030021, China

* Address correspondence to this author at the Shanxi Vocational and Technical College of Electric Power, Taiyuan, 030021, China; E-mail: renxian_2014@163.com

ABSTRACT

This paper proposes a hybrid control strategy of single-phase inverter, and it makes combination the fuzzy control technology and instantaneous feedback control technology of the current, and it solves the problem of load uncertainty and load model is difficult to established. Through ant colony optimization algorithm the problem that control parameters to solve the problem of the fuzzy control are depended on expert experience is solved. And on the basis of fuzzy voltage outer, the loop current inner loop is added, and through using current loop, it can effectively restrain the load disturbance, current limiting step in the current inner ring at the same time, thus it solve the inverter power supply for impact load adaptability. It not only can make the inverter power supply system output high quality steady-state voltage waveform, but also it can get fast dynamic response. Finally under the environment of Matlab simulation, the simulation results are demonstrated, the feasibility and effectiveness of the proposed compound control strategy are also verfied.

Keywords:

Ant colony optimization algorithm, Fuszzy control, Inverter power supply, Inverter control, Load adaptability.