Adaptive chattering alleviation of variable structure systems control

Chang, Fu-Juay; Twu, Shih-Hsiung; Chang, Shyang

doi:10.1049/ip-d.1990.0003

Cited by 65 publications

(20 citation statements)

References 9 publications

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“…The chattering phenomenon of a control input should be avoided in real applications; therefore the boundary layer technique is popularly used for this purpose (Slotine 1984, Chang et al 1990). Although the boundary layer technique transforms the chattering control input to a continuous control input, a steady-state error can remain around the sliding line, and the robustness can no longer be guaranteed.…”

Section: Assumptionmentioning

confidence: 99%

“…Since chattering is generally undesirable, because it involves extremely high control activity and may excite high-frequency dynamics neglected in modelling, many approaches have been reported to alleviate the chattering phenomenon (Slotine 1984, Chang et al 1990). The so-called boundary layer approach has been popularly used as one solution to alleviate the chattering problem of the control input.…”

Section: Introductionmentioning

confidence: 99%

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Variable structure controller with neural compensator

Lee

2001

Int. J. Sys. Sci.

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This paper proposes a new variable structure controller combined with a multilayer neural network using an error back-propagation learning algorithm. The neural network acts as a compensator for a conventional variable structure controller in order to improve the control performance when the initial assumptions of the uncertainty bounds of the system parameters are violated. Also, the proposed controller can reduce the steady-state error of a conventional variable structure controller using the boundary layer technique. Computer simulation results show that the proposed method is eVective in controlling dynamic systems with unexpected large uncertainties.

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Section: Assumptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Variable structure controller with neural compensator

Lee

2001

Int. J. Sys. Sci.

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“…Though the sliding mode control enjoys robustness, it has a significant drawback known as chattering. Chattering is the high frequency bang-bang type of control actions that may produce premature wear or even breakdown [17] the main obstacle to its implementation was chattering. Chattering is caused due to the fast dynamics which are usually neglected in the ideal model or the use of digital controllers with finite sampling rate.…”

Section: Introductionmentioning

confidence: 99%

Chattering free sliding mode controller for mismatched uncertain system

Mondal

Gokul

Mahanta

2012

2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS)

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“…Nevertheless, in order to establish a sliding mode, the sliding mode control suffers from the chattering caused by the high speed switching of the controller output. The undesirable chattering may excite the high frequency system response [3,7] and result in unpredictable instabilities. Further, most of the uncertain systems with the traditional sliding mode control techniques require that the uncertainties satisfy the matching conditions.…”

Section: Introductionmentioning

confidence: 99%

Parallel Distributed Fuzzy Sliding Mode Control for Nonlinear Mismatched Uncertain Systems

Tao

Taur

2006

Soft Comput

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A new design approach of a parallel distributed fuzzy sliding mode controller for nonlinear systems with mismatched time varying uncertainties is presented in this paper. The nonlinear system is approximated by the Takagi-Sugeno fuzzy linear model. The approximation error between the nonlinear system and the fuzzy linear model is considered as one part of the uncertainty in the uncertain nonlinear system. The time varying uncertainties are assumed to have the format which enables the design of the coefficient matrix of the sliding function to satisfy a sliding coefficient matching condition. With the sliding coefficient matching condition satisfied, a parallel distributed fuzzy sliding mode controller (PDFSC) is designed. The stability and the sliding mode of the fuzzy sliding control system are guaranteed. Also, the nonlinear system is shown to be invariant on the sliding surface. Moreover, the chattering around the sliding surface in the sliding mode control can be reduced by the proposed design approach. Simulation results are included to illustrate the effectiveness of the proposed fuzzy sliding mode controller.

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Adaptive chattering alleviation of variable structure systems control

Cited by 65 publications

References 9 publications

Variable structure controller with neural compensator

Variable structure controller with neural compensator

Chattering free sliding mode controller for mismatched uncertain system

Parallel Distributed Fuzzy Sliding Mode Control for Nonlinear Mismatched Uncertain Systems

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