FUZZY LOGIC BASED OPTIMIZATION OF CAPACITOR VALUE FOR SINGLE PHASE OPEN WELL SUBMERSIBLE INDUCTION MOTOR

• Main Authors: R. Subramanian, S.N. Sivanandam, V. Jethose, A.M. Selvaraj
• Format: Article
• Language: English
• Published: ICT Academy of Tamil Nadu 2011-01-01
• Series: ICTACT Journal on Soft Computing
• Subjects: Single- Phase; Induction Motors; Capacitance; Optimization; Fuzzy
• Online Access: http://ictactjournals.in/paper/ijsc1_page_113_118.pdf

Purpose – The aim of this paper is to optimize the capacitor value of a single phase open well submersible motor operating under extreme voltage conditions using fuzzy logic optimization technique and compared with no-load volt-ampere method. This is done by keeping the displacement angle (a) between main winding and auxiliary winding near 90o, phase angle (f) between the supply voltage and line current near 0o. The optimization work is carried out by using Fuzzy Logic Toolbox software built on the MATLAB technical computing environment with Simulink software. Findings – The optimum capacitor value obtained is used with a motor and tested for different supply voltage conditions. The vector diagrams obtained from the experimental test results indicates that the performance is improved from the existing value. Originality/value – This method will be highly useful for the practicing design engineers in selecting the optimum capacitance value for single phase induction motors to achieve the best performance for operating at extreme supply voltage conditions.