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RISS 인기검색어
- 검색키워드
- 저자 : Zifeng Gong (검색결과 2 건)
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Guaranteed Cost Optimal Control of High-speed Train with Time-delay in Cruise Phase
Xiangjin Tian,Deqing Huang,Na Qin,Zifeng Gong,Qingyuan Wang 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.9
In this paper, a novel guaranteed cost control scheme that takes into account state time-delay and parametric uncertainties is proposed for high-speed train (HST) optimal operation control. First, a linear dynamic model of HST is built, where the basic and additional resistances, in-train force, train effort as well as state time-delay are addressed explicitly. Second, an operation criterion considering the velocity tracking, operation safety and running cost is established. Third, a guaranteed cost controller is then designed to realize the optimal control with tradeoff among the multiple objectives. To the best knowledge of the authors, it is the first time to address the velocity tracking, the operation safety and the running cost simultaneously while considering both state time-delay and parametric uncertainties, which corresponds to a more practical scenario in high-speed train control. At last, simulation is carried out to validate the effectiveness of the proposed control scheme under different delay degrees.
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Habib Ullah Khan Jadoon,Deqing Huang,Na Qin,Zifeng Gong 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.8
The fault and disturbances estimation has an important role in the modern traction railway system. This paper proposes a unique method for the real-time robust sensor fault detection and unknown bounded disturbances estimation of high switching frequency single-phase pulse width modulation (PWM) rectifier. The new state observer is designed for open-circuit sensors fault for single-phase PWM rectifier. The digital realization method is used to minimize the observer fluctuation in presence of fault with and without external disturbance. The fault diagnosis approach constitutes on threshold establishment with respect to residual generation based on observer and estimator. The impact of uncertainties is reduced and the convergence speed of fault estimation and accuracy is improved by H∞ performance level. The extensive simulations are implemented to validate the effectiveness of the proposed algorithm. From the presented results, the performance of the proposed method is illustrated along with the fault isolation and disturbance estimator.
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