Article
Computer Science, Information Systems
Jibo Luo, Hui Pang, Mingxiang Wang, Rui Yao
Summary: This paper introduces a novel fault-tolerant tracking controller design based on a proportional-integral observer (PIO) for active suspensions with actuator faults and parameter uncertainties. The proposed method utilizes the Takagi-Sugeno fuzzy model approach to represent the faulty suspensions and includes a fault estimator to predict system states and unmeasurable actuator faults. The simulation results demonstrate the effectiveness and feasibility of the proposed PIO-based fault-tolerant tracking controller.
Article
Automation & Control Systems
Jinglin Zhou, Hong Yue
Summary: The study proposes a solution to the soft-bound interval control problem by transforming it into an output probability density function tracking control problem to control the output variable within a bounded region. Additionally, fault tolerant control methods are investigated for systems with faults, and an integrated design for fault estimation and FTC is developed based on a double proportional integral structure. Extensive simulation studies are conducted to examine the effectiveness and key design factors of the proposed approach.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Ning Tan, Zhaohui Zhong, Peng Yu, Zhan Li, Fenglei Ni
Summary: This article proposes a model-free fault-tolerant tracking control scheme for redundant manipulators, which considers the fault tolerance in the control system. The core of the scheme is a discrete kinematic estimator and a discrete QP solver, which transform the fault-tolerant control problem into a unified computing problem.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Jianfu Ding, Hongbo Sun, Dong Jiang, Jichang Yang, Zicheng Liu
Summary: This article proposes open-circuit fault-tolerant control strategies based on different topologies for AMB technology in high-speed electrical machines, aiming to improve the robustness of the amplifier. The feasibility and rapid response of different fault tolerance strategies have been verified through fault tolerant experiments.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Computer Science, Information Systems
Dingding Cheng, Lijun Liu, Zhen Yu
Summary: This paper investigates the problem of fault-tolerant control for turbofan engines with actuator faults and proposes a novel CNN-based intelligent fault-tolerant control system. By utilizing internal gas-path data and the advantages of CNN, the system is able to diagnose actuator faults and reduce their adverse effects on turbofan engines, demonstrating efficiency in simulation results.
Article
Engineering, Electrical & Electronic
Zhanfeng Song, Yilin Jia, Chaohui Liu
Summary: This article proposes a control strategy for DT-PMSMs that achieves natural fault-tolerant capability without the need for additional fault detection algorithms. The strategy simplifies the control scheme and improves the transition and steady-state performances in both pre and post-fault situations. It is applicable to both single and multiple open-phase faults in DT-PMSMs.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Kuei-Hsiang Chao, Jia-Yan Li
Summary: The paper aims to develop an intelligent controller for the DC-link voltage of bidirectional soft-switching converters used in batteries with equalizing charge and discharge control. The controller is designed based on extension theory, enabling uniform charging and discharging of the storage battery. The quantitative design techniques and extenics theory are utilized to achieve efficient control flexibility and performance. Test results demonstrate the proposed controller's improved response time compared to conventional design, leading to better utilization of renewable energy and enhanced economic and battery life cycle benefits.
Article
Computer Science, Artificial Intelligence
Jinxiang Chen, Chunxiao He
Summary: This study proposes a fuzzy H-infinity fault detection and fault-tolerant control approach for nonlinear singularly perturbed systems with actuator faults and external disturbances. By introducing fuzzy models and linear matrix inequalities, the effectiveness and stability of fault detection and fault-tolerant control are achieved.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Jian Han, Xiuhua Liu, Xinjiang Wei, Shaoxin Sun
Summary: This article discusses fault estimation and fault-tolerant control for nonlinear systems with partially unknown dynamics. A novel adaptive observer is designed to reconstruct system states and deal with faults, while a nonlinear fault-tolerant control technique is proposed using the estimation information obtained by the observer. Three examples are provided to validate the proposed method.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Wei Shen, Haiming Zhao
Summary: This paper proposes a fault-tolerant robust controller to address the issue of low tracking accuracy and poor fault tolerance in displacement-controlled systems. The controller takes into account various uncertain factors and utilizes a finite-time observer and an improved fast super twisting algorithm to estimate system states and ensure reachability of the sliding surface. Additionally, a prescribed performance constrained control technique is employed to maintain tracking error within a bounded range even in the presence of faults.
Article
Energy & Fuels
Fadi Alyoussef, Ahmad Akrad, Rabia Sehab, Cristina Morel, Ibrahim Kaya
Summary: The paper aims to improve the reliability and performance of three-phase induction machines in case of mechanical sensor failure, and introduces the development and proposal of a fault-tolerant controller based on a vector controller, virtual sensors, and a neural voting algorithm.
Article
Automation & Control Systems
Yu Li, Xiaoxiong Liu, Ruichen Ming, Kecheng Li, Weiguo Zhang
Summary: In this paper, an improved model reference-based adaptive nonlinear dynamic inversion (IMR-ANDI) method is proposed to develop a fault-tolerant flight controller that improves robustness to faults and disturbances. The piecewise-constant adaptation is modified to enhance estimation accuracy without increasing sampling frequency. A low-pass filter is creatively introduced to weaken high-frequency dynamics' disturbance and balance dynamic performance and robustness. The developed IMR-ANDI fault-tolerant controller is validated under actuator fault and center of gravity variations.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Engineering, Marine
Alireza Hosseinnajad, Mehdi Loueipour
Summary: This paper focuses on designing a fault-tolerant control system for an underwater remotely operated vehicle, considering the presence of unknown vehicle dynamics, saturation, and rate limits of the thrusters. A novel variable-exponent finite-time controller based on homogeneity is proposed to improve performance and achieve faster convergence. Stability analyses and phase plane analyses demonstrate the superiority of the proposed controller in terms of convergence speed and transient performance.
Article
Automation & Control Systems
Mahmoud A. Mossa, Hamdi Echeikh
Summary: The five phase induction motor is a suitable choice for industrial applications requiring high reliability, and fault tolerant control methodology is necessary for achieving desired dynamic performance. A novel fault tolerant control approach based on a backstepping controller for the FPIM drive is introduced and experimentally validated in this paper. This controller design ensures the highest system reliability required in various automotive and industrial applications.
Article
Computer Science, Hardware & Architecture
Huihui Pan, Chi Zhang, Weichao Sun
Summary: This article investigates autonomous vehicle tracking issues with actuator faults through model-free adaptive dynamic programming approaches, proposing a multiplayer optimal control method that achieves unknown vehicle tracking control without prior system knowledge. The control strategies are robust, containing adaptive regulators, and a single neural network architecture is used to reduce computational burden.
IEEE TRANSACTIONS ON RELIABILITY
(2022)