Using an adaptive fuzzy-logic system to optimize the performances and the reduction of chattering phenomenon in the control of induction motor

Barazane, L.; Khwaldeh, A.; Krishan, Suboh Mohammed Monzer; Sicard, Pierre

doi:10.2298/sjee0902267b

Cited by 4 publications

(2 citation statements)

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“…This choice will switch at any time between the different structure to combine the useful properties of each of these structures in order to have the desired behavior of the system. Consider the system described by (4) [3,15,16] . The SMC design consists of the following steps: 1) Design a switching manifold s in the state space to represent a desired system dynamics, which is of lower order than the dimension of the given plant; s is defined by…”

Section: Basic Concepts Of Sliding Mode Controlmentioning

confidence: 99%

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Improving Asynchronous Motor Speed and Flux Loop Control by Using Hybrid Fuzzy-SMC Controllers

Bendaas

Naceri

Belkacem

2014

Int. J. Autom. Comput.

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This paper presents a new method combining sliding mode control (SMC) and fuzzy logic control (FLC) to enhance the robustness and performance for a class of non-linear control systems. This fuzzy sliding mode control (FSMC) is developed for application in the area for controlling the speed and flux loops of asynchronous motors. The proposed control law can solve those problems associated with the conventional control by sliding mode control, such as high current, flux and torque chattering, variable switching frequency and variation of parameters, in which a robust fuzzy logic controller replaces the discontinuous part of the classical sliding mode control law. Simulation results of the proposed FSMC technique on the speed and flux rotor controllers present good dynamic and steady-state performances compared to the classical SMC in terms of reduction of the torque chattering, quick dynamic torque response and robustness to disturbance and variation of parameters.

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Section: Basic Concepts Of Sliding Mode Controlmentioning

confidence: 99%

“…The choice of this gain is very influential, because if it is very small, the response time will be very long, and if it is chosen very large, we will have large oscillations at the control system. These oscillations can excite the dynamics neglected (the chattering phenomenon) [2,3,7] .…”

Section: Basic Concepts Of Sliding Mode Controlmentioning

confidence: 99%

Improving Asynchronous Motor Speed and Flux Loop Control by Using Hybrid Fuzzy-SMC Controllers

Bendaas

Naceri

Belkacem

2014

Int. J. Autom. Comput.

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A Robust Hybrid Control for Voltage-Fed Induction Motor Drives based on The Artificial Intelligence Techniques

Ramdane¹,

Betta²,

Naceri³

et al. 2015

IJHIT

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In this paper, we introduced a robust approach to induction motor control combining fuzzy logic and variable structure with a sliding mode control. Fuzzy tuning schemes are employed to improve control performance as well as to reduce chattering in the sliding mode. This combination ensures system high performance and fast dynamic response with no overshoot. Becoming a very robust, insensitive to process parameters variation and external disturbances. 86Copyright ⓒ 2015 SERSC surface in the state space. It is a common opinion that the major drawback of sliding mode control is the so-called chattering phenomenon. Such a phenomenon consists of the oscillation of the control signal, tied to the discontinuous nature of the control strategy, at a frequency and with an amplitude capable of disrupting, damaging or, at least, wearing the controlled physical system (e.g., in mechanical systems with backlash).Several methods of chattering reduction have been reported. One approach [3-4] places a boundary layer around the switching surface such that the relay control is replaced by a saturation function. Another method [3,5] replaces a max-min-type control by a unit vector function. These approaches, however, provide no guarantee of convergence to the sliding mode and involve a tradeoff between chattering and robustness.Chattering Reduction be achieved without harming system robustness by combining the attractive features of fuzzy control with SMC [11][12][13] and [18]. Fuzzy logic, first proposed by Zadeh [14], has proven to be a potent tool for controlling ill-defined or parameter-variant plants. By incorporating heuristics engineering rules, a fuzzy logic controller can cope well with severe uncertainties, although a heavy computational burden may arise with some implementations. Fuzzy schemes with explicit expressions for tuning can avoid this problem [16].This paper presents a robust control system using sliding mode control that incorporates a fuzzy tuning technique. The proposed controller is applied to induction motor to control the speed and flux. The control law superposes equivalent control and fuzzy control. An equivalent control law is first designed then we introduce a fuzzy logic control (FLC) in this later the sign function is replaced in order to limit the chattering phenomenon originated by finite-frequency switching control and to preserve the main advantages of the original slidingmode approach (robustness, simplicity, and finite-time convergence).

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A new method to minimize the chattering phenomenon in sliding mode control based on intelligent control for induction motor drives

Bendaas

Naceri

2013

Serb J Electr Eng

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This paper presents new method toward the design of hybrid control with sliding-mode (SMC) plus fuzzy logic control (FLC) for induction motors. As the variations of both control system parameters and operating conditions occur, the conventional control methods may not be satisfied further. Sliding mode control is robust with respect to both induction motor parameter variations and external disturbances. By embedding a fuzzy logic control into the sliding mode control, the chattering (torque-ripple) problem with varying parameters, which are the main disadvantage in sliding-mode control, can be suppressed, Simulation results of the proposed control theme present good dynamic and steady-state performances as compared to the classical SMC from aspects for torque-ripple minimization, the quick dynamic torque response and robustness to disturbance and variation of parameters

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Using an adaptive fuzzy-logic system to optimize the performances and the reduction of chattering phenomenon in the control of induction motor

Cited by 4 publications

References 4 publications

Improving Asynchronous Motor Speed and Flux Loop Control by Using Hybrid Fuzzy-SMC Controllers

Improving Asynchronous Motor Speed and Flux Loop Control by Using Hybrid Fuzzy-SMC Controllers

A Robust Hybrid Control for Voltage-Fed Induction Motor Drives based on The Artificial Intelligence Techniques

A new method to minimize the chattering phenomenon in sliding mode control based on intelligent control for induction motor drives

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