A fuzzy sliding mode controller for induction motor position control

Chen, T.C.; Hsu, J.U.

doi:10.1109/iecon.1994.397747

Cited by 18 publications

(14 citation statements)

References 10 publications

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“…If (9) exists, the closed loop system with sliding mode controller will be asymptotically stable (Cheu & Hsu, 1994).…”

Section: The Em Ployed Tec Hniques F Uzzy-sliding M Ode C Ontrollermentioning

confidence: 99%

“…The fuzzy sliding rules employed, which satisfy the condition of (8), can be stated as follows (Cheu & Hsu, 1994): Rule 1 states that if the switching variable S is far from the switching surface, i.e., S is P, and S has a large variation and is leaving the switching surface, i.e., DS is P, then a large control force i qs , i.e., i qs is PL, is required to reduce the quantity of S and DS. Rule 9 resembles rule 1 in that S is N, DS is N, and i qs is NL.…”

Section: The Em Ployed Tec Hniques F Uzzy-sliding M Ode C Ontrollermentioning

confidence: 99%

“…Nevertheless, sliding mode control suffers from chattering during its control process. The fuzzy-sliding mode controller (FSMC) (Cheu & Hsu, 1994) is employed to eliminate chattering, and possesses the advantages of both fuzzy control and sliding mode control.…”

mentioning

confidence: 99%

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Position Control Employing Fuzzy-Sliding Mode and Genetic Algorithms With a Modified Evolutionary Direction Operator

Su¹

2000

Cybernetics and Systems

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This study presents a novel controller by employing fuzzy-sliding mode control and genetic algorithms equipped with a modi¢ed evolutionary direction operator for optimal position control with an induction motor. Applying the sliding mode control technique provides the proposed controller with many advantages, such as a small overshoot, tiny steady-state error, rapid response, and adaptability to equipment parameters variation and external disturbance. The genetic algorithm optimizes the parameters of fuzzy membership functions de¢ned according to expert experience, and its supplementary modi¢ed evolutionary direction operator determines improved search directions. The proposed approach is applied to a position servo system. Computational results indicate that the proposed controller exhibits excellent performance with all the advantages mentioned above. Moreover, the proposed controller is immune to the chattering problem that typically affects general controllers.Technologies conventionally used for position control in recent years are fuzzy These two control techniques have wider applications in the control ¢eld than traditional proportional integral derivative (PID) control methods.

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“…If (9) exists, the closed loop system with sliding mode controller will be asymptotically stable (Cheu & Hsu, 1994).…”

Section: The Em Ployed Tec Hniques F Uzzy-sliding M Ode C Ontrollermentioning

confidence: 99%

Section: The Em Ployed Tec Hniques F Uzzy-sliding M Ode C Ontrollermentioning

confidence: 99%

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Position Control Employing Fuzzy-Sliding Mode and Genetic Algorithms With a Modified Evolutionary Direction Operator

Su¹

2000

Cybernetics and Systems

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“…In recent years, the intelligent controls such as fuzzy and neural network control are much attentive to the design of high performance induction motor drive application due to their naturally less dependence on the model parameters [3][4][5]. In this paper, the fuzzy sliding mode control method(FSMC) is employed for the high performance speed control of IM drives.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Based Robust Speed Controller for IM Drive

Zhuang

Dong

2009

2009 Asia-Pacific Power and Energy Engineering Conference

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“…References [8,9] implemented a fuzzy logic controller to adjust the boundary layer width according to the speed error. The drawback of their controllers is that it depends on the equivalent control which depends on the system parameters.…”

Section: Introductionmentioning

confidence: 99%

Reduced chatter Bang-Bang-like SMC flux and speed control of induction motor

Mohamed¹,

Lau²,

Moghavvemi³

et al. 2008

2008 SICE Annual Conference

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This paper presents the design and implementation of a Bang-Bang-like Sliding Mode Control (SMC) methodology to control the flux and speed of an induction motor. The proposed control structure uses a fuzzy logic membership function to combine the bang-bang controller with a PI controller to reduce the chatter created by the switching control input. In this strategy, SMC is responsive during transient state while PI control becomes fully active in the steady state area. This will ensure that the final controller will avoid the switching controller's inherent chattering problem in steady state and PI's overshoot, long settling time and rise time problems. The combination of both control strategies through fuzzy logic provides a mean to create a hybrid control strategy. Simulations of the proposed strategy on the flux and speed controllers displayed diminished chatter, overshoot and significant reduction of settling time.

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A fuzzy sliding mode controller for induction motor position control

Cited by 18 publications

References 10 publications

Position Control Employing Fuzzy-Sliding Mode and Genetic Algorithms With a Modified Evolutionary Direction Operator

Position Control Employing Fuzzy-Sliding Mode and Genetic Algorithms With a Modified Evolutionary Direction Operator

Fuzzy Based Robust Speed Controller for IM Drive

Reduced chatter Bang-Bang-like SMC flux and speed control of induction motor

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