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RISS 인기검색어
- 검색키워드
- 저자 : Zehui Mao (검색결과 6 건)
- 무료
- 기관 내 무료
- 유료
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Fault Detection for a Class of Nonlinear Networked Control Systems with Communication Constraints
Zehui Mao,Yifei Pan,Bin Jiang,Wen Chen 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.1
This paper is concerned with fault detection for a class of nonlinear networked control systems with stochastic transfer delays and data drops. A modified T-S fuzzy model is used to represent the considered system. The infinitely distributed time delays are introduced to describe the delays in the controllers. In the fault detection filter, a sequence of stochastic variables is introduced to govern the random occurrence of the stochastic transfer delays and data drops in the measurements, and all of the stochastic variables are mutually independent. Sufficient conditions using regular and piecewise Lyapunov functions are derived for the existence of the designed filter. An example is employed to show the effectiveness and applicability of the proposed fault-detection method.
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Fault Diagnosis for a Class of Active Suspension Systems with Dynamic Actuators’ Faults
Gang Tao,Zehui Mao,Yue Wang,Bin Jiang 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.5
In this paper, a new fault diagnosis and fault-tolerant control method for a class of active suspensionsystems with actuator faults is proposed. The considered actuators have uncertain dynamic characteristics, whichare the electromagnetic actuators made up with a motor control system and a ball screw transmission mechanism. To detect such suspension system actuator faults, dynamic fault diagnosis observers are designed for the actuatorsto estimate the possible faults. The actuators are analyzed to first and second order dynamic models, respectively,whose output can be measured but the rate is non-measurable. Then, the fault diagnosis method is developedfor these two kinds of models to obtain the fault information. Using the fault estimation and adaptive controltechnique, a robust fault-tolerant controller is constructed to guarantee the performance of the rail vehicles in thefaulty case. Finally, using the parameters of a practical suspension system, a simulation study is conducted to showthe effectiveness of the proposed method.
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Fault detection for a class of stochastic systems with unknown disturbance
Yanhao Zhan,Zehui Mao,Bin Jiang,Mou Chen 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
The paper deals with fault detection of stochastic discrete systems with the consideration of unknown disturbance and noises, which are modelled as time-varying parameters and stochastic process, respectively. The disturbance decoupled observer design problem is investigated for the reconstructed singularity system which contains the states and disturbance. Then using hypothesis test technique, the residual generated by the designed observer is analyzed and a set of necessary conditions to the fault detectability is considered. Finally, the proposed fault detection approaches are applied to a practical DC motor to demonstrate the effectiveness of the results.
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Fault Detection for a Class of Closed-loop Hypersonic Vehicle System via Hypothesis Test Method
Xunhong Lv,Yifan Fang,Zehui Mao,Bin Jiang,Ruiyun Qi 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.1
This paper studies the fault detection problem for a class of hypersonic vehicle with actuator faults,disturbances and random noises. To handle the unknown disturbances, an unknown input Kalman filter (UIKF) ispresented to estimate the unknown system states and disturbances, simultaneously. Considering that the closed-loopstructure brings the robustness to the hypersonic vehicle, which could cover some faults, the Total Measurable FaultInformation Residual (ToMFIR) is employed as the fault detection residual. Moreover, to deal with the randomnoises, the hypothesis testing method is utilized to obtain the thresholds under some fault detection performances(false alarm rate and missing alarm rate). The fault detectability condition is also derived. Finally, the simulationsverify the effectiveness of the proposed fault detection method
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Adaptive Backstepping Based Fault-tolerant Control for High-speed Trains with Actuator Faults
Shangkun Liu,Bin Jiang,Zehui Mao,Steven X. Ding 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.6
In this paper, the fault-tolerant control problem is addressed for high-speed trains with unknown time varying system parameters, traction system actuator faults and disturbances. To represent the unknown time-varying system parameters in mathematical form, a new piecewise time-varying indicator including commonly used 0-1 case, is employed, which results in a piecewise time-varying nonlinear model with some unknown parameters and piecewise disturbances. For the healthy system with the time-varying indicator in the unknown forms and having known switching time instants, an adaptive backstepping controller is proposed to deal with the unknown system parameters and disturbances and achieve the position tracking. Further, the adaptive backstepping based faulttolerant controller with adaptive laws is developed to guarantee the system states boundedness and the position tracking, in the presence of unknown actuator faults. Based on Lyapunov function, the stability of the closed-loop system is proved. Simulation studies on CRH2 (China Railway High-speed Train II) verify the performance of the proposed fault-tolerant control scheme.
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Resilient Tracking Control for Unmanned Helicopter Under Variable Disturbance and Input Perturbation
Linbo Chen,Tao Li,Zehui Mao,Shumin Fei 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1
In this work, by utilizing a disturbance observer-based control (DOBC) method, the resilient tracking control is studied for the unmanned aerial helicopter (UAH) with paramteter uncertainty, multiple disturbances, and input perturbation. Firstly, a state observer and two disturbance observers are respectively constructed to estimate the unmeasurable flapping motion states and outside disturbances, which are further utilized to design the feedforward controller. Secondly, by considering stochastic perturbation, a resilient feedback controller is proposed and an overall closed-loop error system is established. Thirdly, based on stochastic control theory and robust control method, a sufficient condition is obtained to guarantee the asymptotical stability and H∞ performance index for the closed-loop error system. Furthermore, the observer gains and controller one can be jointly checked by solving the derived linear matrix inequality (LMI). Finally, some simulations are presented to verify the effectiveness of the derived control method.
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