Modeling of single and bi-objective brain emotional intelligent controllers for improved performance of the dual stator winding induction motor drive at low speeds
Issue title: Special Section: Ambient advancements in intelligent computational sciences
Guest editors: Shailesh Tiwari, Munesh Trivedi and Mohan L. Kohle
Affiliations:
Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
Correspondence:
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Corresponding author. Mohammad Ali Shamsi Nejad, Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran. Tel.: +98 5612502049-51, 404; Fax: +98 5612502163; E-mail: mshamsi@birjand.ac.ir.
Abstract: This paper models the single and bi-objective brain emotional intelligent controllers for the dual stator winding induction motor (DSWIM) drive. The main purpose of this paper is performance improvement of the DSWIM drive control system and power losses reduction of the inverter in the DSWIM drive at low speeds. In the vector control method, it is difficult to estimate flux at low speeds. To solve the mentioned problem, researchers have used from the free capacity of the two windings of the stator. This paper presents three proposed methods: 1. Using the idea of rotor flux compensation based on classical PI controller at low speeds, the motor works in its standard operating mode; 2. Proposed Method 1 is reformed and improved based on the bi-objective brain emotional controller; and 3. Proposed Method 2 is improved using single-objective brain emotional controller in the speed control loops of the DSWIM drive. The proposed methods are simulated in MATLAB/Simulink software.
