Discrete-Time Velocity Servo System Design Using Sliding Mode Control Approach With Disturbance Compensation

Milosavljević, Čedomir; Peruničić, B.; Veselić, Boban

doi:10.1109/tii.2012.2226431

Cited by 59 publications

(36 citation statements)

References 28 publications

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“…A preliminary result along these lines was reported in [9]. A similar compensation technique for a singleinput single-output velocity servo system has been recently reported in [6]. The method in the paper outperforms other approaches dealing with the same problem [7], [4]; and an O(T 3 ) boundary layer for the quasi sliding mode and an O(T 2 ) thickness of the state vector is obtained.…”

Section: Introductionmentioning

confidence: 66%

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Higher Accuracy Output Feedback Sliding Mode Control of Sampled-Data Systems

Nguyen

Gajić

et al. 2016

IEEE Trans. Automat. Contr.

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Abstract-The problem of output feedback sliding mode control for sampled-data systems in the presence of external disturbances is considered. The proposed output feedback control strategy helps obtain a quasi sliding mode with an O(T 3 ) boundary layer, where T is the sampling period. This outperforms the O(T 2 ) result induced by the one-step delayed disturbance approximation method. The proposed scheme is applicable to linear systems which are relative degree one and minimum phase. An example is given to illustrate the efficacy of the new method.

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Section: Introductionmentioning

confidence: 66%

“…Although the state feedback problem has been extensively studied, only a few authors have considered the output feedback case [5], [4], [6] for sampled-data systems. A discrete-time integral sliding mode control method was proposed to estimate the state variables and external disturbances using two observers [7].…”

Section: Introductionmentioning

confidence: 99%

Higher Accuracy Output Feedback Sliding Mode Control of Sampled-Data Systems

Nguyen

Gajić

et al. 2016

IEEE Trans. Automat. Contr.

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“…Relevant process and control applications are presented in [35][36][37][38][39][40][41][42][43], with both crisp and fuzzy models. However, the online identification algorithms must be adapted accordingly in order to cope with the specific nonlinear elements and operating conditions of these processes [44][45][46][47][48][49][50].…”

Section: Introductionmentioning

confidence: 99%

Automotive Applications of Evolving Takagi-Sugeno-Kang Fuzzy Models

Precup¹,

Preitl²,

Bojan-Dragoş³

et al. 2017

FU Mech Eng

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Abstract. This paper presents theoretical and application results concerning the development of evolving Takagi-Sugeno-Kang fuzzy models for two dynamic systems, which will be viewed as controlled processes, in the field of automotive applications. The two dynamic systems models are nonlinear dynamics of the longitudinal slip in the Antilock Braking Systems (ABS) and the vehicle speed in vehicles with the Continuously

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“…Depending on the process, velocity control can be of major importance. Along this line, many studies are devoted to design velocity control schemes achieving regulation, tracking accuracy, robustness or energy efficiency, see for instance [1][2][3][4][5][6]. In spite of the diversity of control algorithms, namely neural network, sliding modes, fuzzy logic, robust controllers, among many others, the velocity control of servo systems is mainly accomplished in practice by using PI controllers due to the simplicity and functionality of its structure [7].…”

Section: Introductionmentioning

confidence: 99%