Discrete-time command filtered adaptive fuzzy fault-tolerant control for induction motors with unknown load disturbances

Lei, Qixin; Yu, Jinpeng; Wang, Qingguo

doi:10.1016/j.jfranklin.2021.01.036

Cited by 14 publications

(4 citation statements)

References 41 publications

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“…Theorem 10. Consider system (5), and assume that Assumptions 1 and 2 hold. If the disturbance observer is designed as (14) and there exist positive constants…”

Section: Stability Analysismentioning

confidence: 99%

“…Many researchers have concentrated on addressing the control problem of fixed-wing UAVs subject to actuator fault, thereby publishing numerous results regarding passive or active FTC. Active FTC identifies faults through fault detection and diagnosis block in real time, while passive FTC uses a single fixed controller through the robust control strategy [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

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Fixed-Time Fault-Tolerant Tracking Control of Fixed-Wing UAVs with Actuator Fault and Unmatched Disturbances

Zheng

2022

International Journal of Aerospace Engineering

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This paper presents a dynamic surface fixed-time fault-tolerant control strategy for the longitudinal dynamic model of fixed-wing unmanned aerial vehicles (UAVs). Firstly, a novel disturbance observer is constructed to precisely estimate the lumped disturbance. Secondly, without fractional power terms in the designed fixed-time fault-tolerant controller, the potential singular value problem is tactfully avoided, which often exists in the stability analysis of the traditional fixed-time controller design. Thirdly, a novel fixed-time filter is proposed to overcome the phenomenon of “differential explosion” in the backstepping control scheme. Lyapunov stability analysis guarantees that the tracking errors can converge to the neighborhood of the origin in the fixed time. The simulation results verify the effectiveness of the proposed control scheme.

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“…Theorem 10. Consider system (5), and assume that Assumptions 1 and 2 hold. If the disturbance observer is designed as (14) and there exist positive constants…”

Section: Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fixed-Time Fault-Tolerant Tracking Control of Fixed-Wing UAVs with Actuator Fault and Unmatched Disturbances

Zheng

2022

International Journal of Aerospace Engineering

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“…This method of load shedding is usually the last method used when the power system collapses, but in some power systems, load shedding may cause some lowfrequency relays to operate abnormally, so Maresch et al proposed a high safety and reliability Sexual methods to avoid this problem, and so on. [5][6][7][8] However, there are not many researches on the intelligent control of motor load systems. It is common to use PID controllers to control them.…”

Section: Introductionmentioning

confidence: 99%

Research on a hybrid controller combining RBF neural network supervisory control and expert PID in motor load system control

Gao

Xiong

2022

Advances in Mechanical Engineering

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Considering the contradiction among the response speed, overshoot and stability of system when the motor load system adopts PID control, a control strategy combining RBF (Radial Basis Function) neural network supervisory control and expert PID control is designed to effectively improve this problem in this paper. First of all, the related algorithms of RBF neural network supervisory control composed of RBF neural network and PID control (RSC-PID) is introduced. This method can make the motor load system reach a steady state faster than simple PID control. But RSC-PID is also unsatisfactory in terms of overshoot. Based on the RSC-PID control method, a hybrid controller combining RBF neural network supervisory control and expert PID control (RSC-EPID) is proposed. This method combines RSC-PID control theory with expert PID control ideas, further improves the stability and rapidity of the system, reduces the overshoot. Moreover, when the input signal is a time-varying signal with interference, the motor load system shows better anti-interference performance after using RSC-EPID. The simulation results show that RSC-EPID control improves the tracking effect of the output signal of the motor load system, ensures the stability of the system, and improves the performance of the system.

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“…[4], while external causes are due to sequence failures, phase loss or unbalance, undervoltage or overvoltage, harmonic distortion, among others [5]- [7]. Approximately 53% of IM failures are caused by bearing failures [4], [8]. The unexpected failures can lead to significant economic losses; therefore, it is essential to study the Bearing Failure (BF) that allows the development of new timely detection techniques.…”

Section: Introductionmentioning

confidence: 99%

Bearing Fault Detection in ASD-Powered Induction Machine Using MODWT and Image Edge Detection

et al. 2022

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Today the industry depends on various types of three-phase induction machines, requiring operating at variable speeds to perform more complex processes. Therefore, it is vital to monitor their operation conditions to maintain the optimal efficiency of the processes they perform and avoid significant economic losses. The proposed work presents the design and development of a method for bearing damage detection based on Maximal Overlap Discrete Wavelet Transform and image processing for edge detection. Accuracies achieved with three types of damage exceed 90%. The signals for the test are acquired from seven different operating conditions for each type of damage. Supply comes from a power grid source and an adjustable speed drive. The Maximal Overlap Discrete Wavelet Transform is applied with different filtering levels to the three phases of the stator current, the magnitude of the filtered signals is acquired, a periodic two-dimensional array is generated and further smoothed by a Gaussian filter allowing the observation of patterns at the edges. Finally, the obtained images are scanned with a 2-D mask aiming to detect and count patterns associated to the fault detection process. Statistical analysis is performed over characteristic signatures obtained from the current magnitude of the three phases at different classes of damage and several mechanical load conditions.

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Discrete-time command filtered adaptive fuzzy fault-tolerant control for induction motors with unknown load disturbances

Cited by 14 publications

References 41 publications

Fixed-Time Fault-Tolerant Tracking Control of Fixed-Wing UAVs with Actuator Fault and Unmatched Disturbances

Fixed-Time Fault-Tolerant Tracking Control of Fixed-Wing UAVs with Actuator Fault and Unmatched Disturbances

Research on a hybrid controller combining RBF neural network supervisory control and expert PID in motor load system control

Bearing Fault Detection in ASD-Powered Induction Machine Using MODWT and Image Edge Detection

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