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- Title
HYBRID TECHNIQUE BASED SLIP FREQUENCY CONTROL FOR THE DYNAMIC ANALYSIS OF IM.
- Authors
HEMANT SAHEBRAO KULAT; ANUPAMA PUSHKAR HUDDAR
- Abstract
In the paper, the slip frequency control of Induction Motor (IM) is analyzed and the control loop is developed with the help of hybrid technique. The hybrid technique is the combination of Adaptive Neuro Fuzzy Inference System (ANFIS) and Firefly Algorithm (FA), which works based on the Phase Locked Loop (PLL). Here, the FA is developed to train the ANFIS and establish the rule based layer formation. The bio-inspired optimization technique of FA is applied to develop the performance of ANFIS by tuning the membership function and reducing the error value. After that the ANFIS is designed and suggested for the enhancement of stability and controlling the speed, torque, and slip frequency. In the controller part of analysis, the IM behaviors are determined normally. The error speed signal is the calculated, and established on the comparison of reference and motor speed. The resulted error and change in error speed signals are used in the input of the proposed hybrid controller loop. The speed characteristics of IM is analyzed with the help of proposed technique. The proposed method is implemented in MATLAB/Simulink platform and compared with the existing methods, such as ANFIS and Particle Swarm Optimization (PSO) algorithm. In order to prove the effectiveness of the proposed method, the characteristics of speed, torque, slip frequency, and current are evaluated.
- Publication
i-manager's Journal on Electrical Engineering, 2018, Vol 11, Issue 4, p52
- ISSN
0973-8835
- Publication type
Academic Journal
- DOI
10.26634/jee.11.4.14654