Earticle

초록

영어

This paper presents a sliding mode controller based Neural Networks for energy conservation in Induction motor. A Multi layer Neural Network trained by back propagation learning algorithm is used to compensate for the system uncertainties and provide energy efficient operation for a wide range of loads. The trained Neural Network controls the stator voltage for optimal efficiency under all operating conditions. Simulations and experimental studies were performed to establish the suggestion made in this paper. The proposed algorithm was simulated using Matlab/Simulink and the results show that the performance of the control scheme is robust, the chattering problem is solved and efficiency improvement is achieved.

목차

Abstract
 1. Introduction
 2. IM Mathematical Model
 3. Proposed Method
  3.1. Variable Structure Control
  3.2. Practical Limitation of SMC
  3.3. Artificial Neural Networks
 4. Results and Discussions
  4.1. Starting Performance and Step change in Load Torque
  4.2. Energy Conservation under Partial Load
  4.3. Robustness Test
 5. Conclusion
 References

키워드

저자

• R.Senthil Kumar [ Assistant Professor, Department of Electrical Engineering ]
• V.Ganapathy [ Professor, Department of Information Technology, SRM University, Kattankulathur, Chennai 603203, Tamil Nadu, India. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605