Fault Tolerant Control of PMSM drive using Sliding Mode strategy

Mekki, H.; Benzineb, Omar; Boukhetala, Djamel; Tadjine, Mohamed; Chrifi‐Alaoui, Larbi

doi:10.1109/optim.2015.7427042

Cited by 3 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, to improve the controller performance under faulty conditions, the internal switching SMC scheme was reinforced with the FTC approach. Lastly, the Lyapunov stability analysis was carried out for the FTC approach and also for continued stable performance [41]. In short, this novel SMC provided good robust tracking properties.…”

Section: Position Speed and Torque Controlmentioning

confidence: 99%

A Review on The AC Servo Motor Control Systems

2020

View full text Add to dashboard Cite

AC Servomotors are widely used in the industries for the control of static and dynamic loads. Precise control of position, speed, and torque are the main issues with the AC Servomotor. AC Servomotors are highly demanded by the industries to have a precise response under dynamic load conditions. Many control techniques are commercially available for the control of AC Servomotor under static and dynamic load conditions. However, all of these control techniques have advantages and limitations. Many investigations are done on the control of AC Servomotor, but comprehensive surveys on the control of AC Servomotor were still limited. In this paper, most of such commercially available control techniques are investigated, discussed, and compared.

show abstract

Section: Position Speed and Torque Controlmentioning

confidence: 99%

A Review on The AC Servo Motor Control Systems

2020

View full text Add to dashboard Cite

show abstract

“…[4][5][6][7] Many other scholars make a hit in FTC techniques in their own fields. [8][9][10] H Noura et al 11 proposed an FTC methodology using adaptive estimation based on the learning capabilities of neural networks or fuzzy systems. LE Parker 12 designed a linear matrix inequality method to estimate the eventual fault online, and a new control law is added to the normal control law in order to reduce the fault effect on the servo system in flight.…”

Section: Introductionmentioning

confidence: 99%

Characteristic model–based adaptive fault-tolerant control for four-PMSM synchronization system

Gao¹,

Wu²,

Wang³

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part I:

View full text Add to dashboard Cite

In four-motor servo systems, actuator failures influence control performance seriously through huge inertia ratio changes and unknown disturbances. To solve this problem, an adaptive fault-tolerant control scheme based on characteristic modeling and extended state observer is proposed. First, an adaptive sliding mode observer is designed as fault detection part and offers motor information for controller. Second, to simplify complex dynamic model, this servo system is described by a second-order difference equation. This model integrates uncertainties into three time–varying characteristic parameters to reflect system status. Third, a discrete-time extended state observer is applied to restrain system error caused by actuator failure. Then, a fault-tolerant controller is designed based on characteristic model, and its stability is guaranteed in the sense of Lyapunov stability theorem. These four parts make up the adaptive control scheme and its effectiveness in system control, and fault tolerant is evaluated by both simulation and experiment results.

show abstract