Speed Synchronization of web winding System with Sliding Mode Control

Glaoui, Hachemi; Hazzab, Abdeldjebar; Bouchiba, Bousmaha; Bousserhane, Ismaïl Khalil

doi:10.11591/ijpeds.v3i2.2432

Cited by 5 publications

(6 citation statements)

References 8 publications

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“…This mode is characterized by the control law and the convergence criterion, in this paper the direct switching function proposed by Emilianov and Utkin [15], [16], [17], and which can be formulated by the following sufficient condition [18]:…”

Section: Condition Of Convergencementioning

confidence: 99%

Fuzzy Sliding Mode Controller for Induction Machine Feed by Three Level Inverter

Lakhdari

Bouchiba

2018

IJPEDS

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In this paper, using synthesis of a hybrid control is applied to the speed of an induction motor feed by three-level inverter. Based on the combination of the fuzzy logic and the sliding mode approach, this method has the advantage of combining the performances of the two types of controllers. The fuzzy logic confers a very appreciable flexibility to the reasoning which uses and makes it possible to take into account Imprecisions and uncertainties, The sliding mode is a controller for nonlinear systems with non-constant parameters; it leads to precision and robustness, and allows solving problems obtained by conventional control laws. To lift the stresses of external disturbance and makes the system more performing and more robust, the two controllers of fuzzy logic and sliding mode are combined.

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Section: Condition Of Convergencementioning

confidence: 99%

Fuzzy Sliding Mode Controller for Induction Machine Feed by Three Level Inverter

Lakhdari

Bouchiba

2018

IJPEDS

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“…(2) A hierarchical control structure is proposed with the combination of FOSMC techniques, and first‐order low‐pass filters will promote robustness against matched, unmatched uncertainties, the explosion of terms and chattering effects that have not been solved in the studies 22‐26 . Apart from that, the use of fractional‐order sliding surface plays a vital part in manually optimizing system responses, and hence system performance is improved compared to using traditional sliding surfaces as shown in the works 27‐30 …”

Section: Introductionmentioning

confidence: 99%

“…[22][23][24][25][26] Apart from that, the use of fractional-order sliding surface plays a vital part in manually optimizing system responses, and hence system performance is improved compared to using traditional sliding surfaces as shown in the works. [27][28][29][30] (3) Instead of just approximating the moment of inertia in the study 45 or calculating uncertainties and disturbances by using fuzzy logic in the study, 30 an RBF neural network-based robust controllers (RBFNN-BRC), which is capable of adapting to uncertainties and disturbances, is implemented to estimate the complete model. Subsequently, the whole system is also easily proven stable by the Lyapunov stability theory.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the undeniable contributions of the Backstepping technique to web winding systems, the explosion of terms effect that is caused by the derivative components is still stated as a major drawback affecting the output tension. In Reference 27, the authors presented a significant speed synchronization improvement of a five‐motor winding system by applying Sliding Mode Control (SMC) approach. Further, the quality of the web system has been solved by using a robust Sliding Mode controller based on the state observer.…”

Section: Introductionmentioning

confidence: 99%

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Model‐free hierarchical control with fractional‐order sliding surface for multisection web machines

Dang

Nguyen

Tran

et al. 2022

Adaptive Control & Signal

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Due to the nonlinearities and dynamical properties of multisection web machines, it is essential to accomplish an appropriate mathematical model as well as design a compatible control scheme. A generalized fully driven web winding model is constructed taking unpredictable changes of moment of inertia and radius of rolls into consideration. In this article, a fractional‐order sliding surface algorithm‐based hierarchical control frame is applied to multisection web machines to deal with matched and mismatched uncertainties and disturbances. In addition, the Radius Basis Function neural network is deployed to estimate necessary system dynamics and the proposed control scheme taking advantage of first‐order low‐pass filters to produce virtual control signals without complicated calculation and attenuate the explosion of terms phenomenon. Finally, the semi‐global stability of the entire system is determined using Lyapunov's stability theory. The simulation results are presented to clarify the superior performance of robust control algorithm and approximation law in the presence of nonideal elements.

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“…In a motor control system, rotor position must be known to obtain better control performance. In recent years, several methods have been developed to estimate rotor position, including the counter electromotive method [1]- [4], the extended Kalman filter [5], [6], the artificial neural networks [7], Finite Element method [8], [9] and sliding mode current observer [10]- [12]. These methods are based on modern control theory and realized through the use of microprocessors.…”

Section: Introductionmentioning

confidence: 99%

A Novel Sensorless Initial Rotor Position Estimation Method for Permanent Magnet Synchronous Motors

Wu¹,

Lin²

2017

IJPEDS

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This paper presents a high efficiency initial rotor position estimation method for Permanent Magnet Synchronous Motors (PMSM). The approach uses the viable inductance model to analyze the optimal motor injection sine wave frequency as the motor's test signal. Unlike other high-frequency injection methods, this approach does not require trial and error experiments. The injection frequency is identified by programmable simulations using Matlab. Experimental evaluation of 3-phase PMSM showed that this injection frequency optimization method works successfully. The proposed method can find the optimal injection frequency without experimentation, and outperforms other test signals in terms of accuracy, vibration quantity and noise. This microprocessor-developed 3-phase PMSM control driver can be applied to electrical appliances, machine tools and automation.

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Speed Synchronization of web winding System with Sliding Mode Control

Cited by 5 publications

References 8 publications

Fuzzy Sliding Mode Controller for Induction Machine Feed by Three Level Inverter

Fuzzy Sliding Mode Controller for Induction Machine Feed by Three Level Inverter

Model‐free hierarchical control with fractional‐order sliding surface for multisection web machines

A Novel Sensorless Initial Rotor Position Estimation Method for Permanent Magnet Synchronous Motors

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