Super-Twisting Algorithm for DC Motor Position Control via Disturbance Observer

Gabsi, Mohamed; Ali, Sofiane Ahmed; Langlois, Nicolas

doi:10.1016/j.ifacol.2015.12.351

Cited by 28 publications

(9 citation statements)

References 26 publications

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“…. 36,39 The bounded value s 1 can be obtained by experiment, and the value range of b 1 can be selected from 0:025s 1 to 0:2s 1 . The value of b 2 is calculated from b 1 and s 1 .…”

Section: Controllers For Comparisonmentioning

confidence: 99%

Super-twisting algorithm with fast super-twisting disturbance observer for steer-by-wire vehicles

Yang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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The control performance of a vehicle steer-by-wire (SBW) system can be seriously affected by vagaries of tyre-road conditions and external disturbance. Aiming at the problem of fast estimating and compensating the time-varying disturbance torque acting on the front wheels under different working conditions, this article presents a super-twisting algorithm (STA) combined with fast super-twisting disturbance observer (FSTDO) control scheme. At first the SBW system is modelled according to the experiment plant. Secondly, the FSTDO is designed according to SBW system model. A fast reaching law is adopted to accelerate the sliding variable convergence rate and enhance the response speed of the observer. The FSTDO-STA controller adopts STA control in closed-loop system. The control signal is continuous, so that, the chattering could be inhibited. The stability of FSTDO error dynamics and closed-loop dynamics is proved in the sense of Lyapunov. Finally, comparative verification experiments are carried out to demonstrate the validity of FSTDO-STA. The FSTDO-STA controller can quickly estimate and compensate disturbance torque under various operating conditions. Compared with other comparative algorithms, the proposed controller has some advantages in response speed, control accuracy and robustness. And it was corroborated by the experimental results.

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“…. 36,39 The bounded value s 1 can be obtained by experiment, and the value range of b 1 can be selected from 0:025s 1 to 0:2s 1 . The value of b 2 is calculated from b 1 and s 1 .…”

Section: Controllers For Comparisonmentioning

confidence: 99%

Super-twisting algorithm with fast super-twisting disturbance observer for steer-by-wire vehicles

Yang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Where λ 1 , λ 2 > 0, are design parameters, σ is the sliding surface. For the application proposed in this work, it is required to perform time-varying trajectory tracking control, for the STA (8), the following sliding surface σ is defined as seen in [16], using a control configuration as seen in Fig. 7.…”

Section: A Sliding Mode Super-twisting Controllermentioning

confidence: 99%

Mechatronic Design and Robust Control of an Artificial Ventilator in Response to the COVID-19 Pandemic

Ramos-Paz

Belmonte-Izquierdo

Inostroza-Moreno

et al. 2020

2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

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“…Defining the estimation errors as e 1 ¼ À^ , e 2 ¼ A Tq ÀÂ Tq , combining equations (25) and (26) we can get…”

Section: Smdo Designmentioning

confidence: 99%

“…22 designed a disturbance observer to estimate the disturbance of the system and introduced the estimated value of the disturbance into the control term as a compensation term to weaken the chattering phenomenon, which has been widely applied in the control field because of its good effect. 23–26…”

Section: Introductionmentioning

confidence: 99%

“…To solve this problem, Ohishi et al 22 designed a disturbance observer to estimate the disturbance of the system and introduced the estimated value of the disturbance into the control term as a compensation term to weaken the chattering phenomenon, which has been widely applied in the control field because of its good effect. [23][24][25][26] However, the magnitude loss fault of the missile guidance command that may occur in actual implementation is not considered in the above studies. In recent years, fault-tolerant control is widely applied to improve the system reliability, [27][28][29] and the fault observer is designed to compensate the fault.…”

Section: Introductionmentioning

confidence: 99%

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A finite-time-convergent composite guidance law with strong fault-tolerant performance

Chen

2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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To improve the performance of tracking and intercepting the low-altitude target, a nonlinear integral sliding mode guidance law is designed firstly, which can guarantee that the line-of-sight angle converges to a desired tracking angle and the line-of-sight angular rate converges to zero in finite time. Meanwhile, to solve the chattering problem caused by the high gain coefficient of the sign function in the guidance law, a sliding mode disturbance observer is designed to estimate the maneuvering acceleration of the target. Moreover, a composite nonlinear integral sliding mode guidance law is designed by introducing the estimated value of the acceleration, which can weaken the chattering phenomenon effectively. Finally, considering the magnitude loss fault of the guidance command that may occur in the practical implementation, a composite guidance law with strong fault-tolerant performance is designed by introducing a fault compensation command, which can effectively improve the reliability of the system.

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Super-Twisting Algorithm for DC Motor Position Control via Disturbance Observer

Cited by 28 publications

References 26 publications

Super-twisting algorithm with fast super-twisting disturbance observer for steer-by-wire vehicles

Super-twisting algorithm with fast super-twisting disturbance observer for steer-by-wire vehicles

Mechatronic Design and Robust Control of an Artificial Ventilator in Response to the COVID-19 Pandemic

A finite-time-convergent composite guidance law with strong fault-tolerant performance

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