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RISS 인기검색어
- 검색키워드
- 저자 : Ron J. Patton (검색결과 2 건)
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Active Fault Tolerant Control for Nonlinear Systems with Simultaneous Actuator and Sensor Faults
Montadher Sami,Ron J. Patton 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.6
The goal of this paper is to describe a novel fault tolerant tracking control (FTTC) strategy based on robust fault estimation and compensation of simultaneous actuator and sensor faults. Within the framework of fault tolerant control (FTC) the challenge is to develop an FTTC design strategy for nonlinear systems to tolerate simultaneous actuator and sensor faults that have bounded first time de-rivatives. The main contribution of this paper is the proposal of a new architecture based on a combination of actuator and sensor Takagi-Sugeno (T-S) proportional state estimators augmented with proportional and integral feedback (PPI) fault estimators together with a T-S dynamic output feedback control (TSDOFC) capable of time-varying reference tracking. Within this architecture the design freedom for each of the T-S estimators and the control system are available separately with an important consequence on robust L2 norm fault estimation and robust L2 norm closed-loop tracking performance. The FTTC strategy is illustrated using a nonlinear inverted pendulum example with time-varying tracking of a moving linear position reference.
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Chun Liu,Zhengyan Yu,Ron J. Patton 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.3
This study proposes a co-design framework of decentralized fault estimation and distributed fault-tolerant tracking control schemes of Lipschitz nonlinear multi-agent systems with external disturbances and unpredicted sensor faults. To begin with, the sensor fault is actively hidden in the extended state through augmented transformation, and the decentralized unknown input observer based on extended dynamics is applied in synchronously estimating system state and sensor fault. Then, the updated link-based fault-tolerant tracking control protocol is proposed by virtue of the estimated information from estimation dynamics and the relative output signal from neighboring agents in a distributed fashion. The proposed co-designed algorithm guarantees the state consensus tracking property and overcomes the bi-directional couplings between the estimation and tolerance systems. Simulation example of multi-machine power systems verifies the effectiveness of the proposed co-designed algorithm.
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