New fuzzy-sliding mode controller for position control for induction motor
Chung-Yuen Won, D.H. Kim, S.C. Kim, D.W. Yood
Abstract
Chung-Yuen Won, D.H. Kim, S.C. Kim, D.W. Yood
Abstract
Sliding mode control is widely used in induction motor servo drives. Rule-based controllers which utilize fuzzy set theory have the advantage of not requiring a mathematical description of the plant. A new sliding mode controller using a fuzzy logic algorithm is applied to a vector-controlled induction motor servo system to eliminate the chattering problem. A servo system with the proposed control strategy is analyzed and verified experimentally. The performance of the drive is shown to be practically free from chattering.>
OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Sliding mode control is widely used in induction motor servo drives. Rule-based controllers which utilize fuzzy set theory have the advantage of not requiring a mathematical description of the plant. A new sliding mode controller using a fuzzy logic algorithm is applied to a vector-controlled induction motor servo system to eliminate the chattering problem. A servo system with the proposed control strategy is analyzed and verified experimentally. The performance of the drive is shown to be practically free from chattering.>
Key concepts: Control theory (sociology), Induction motor, Servomechanism, Servomotor, Controller (irrigation), Fuzzy logic, Control engineering, Vector control