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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
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
저자정보
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자료제공 : 네이버학술정보