Article
Automation & Control Systems
Qicheng Mei, Jinhua She, Feng Wang, Yosuke Nakanishi
Summary: This article presents an improved equivalent-input-disturbance (EID) approach that actively rejects exogenous disturbances for a plant. The control system based on this approach includes a new EID estimator constructed by embedding integrals to the conventional EID estimator, which enhances disturbance estimation precision without amplifying measurement noise. Stability conditions of the control system are obtained using the separation theorem, and the system design ensures these conditions are satisfied. Experimental results from a rotational control system validate the effectiveness of the approach.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Marine
Chuan Liu, Xianbo Xiang, Lichun Yang, Jinjiang Li, Shaolong Yang
Summary: This paper presents a hierarchical disturbance rejection depth tracking control scheme for the underactuated autonomous underwater vehicle (AUV) with comparative experimental results. The proposed hierarchical control scheme is constructed by two layers in the kinematics and dynamics. The effectiveness and remarkable performance of the proposed depth tracking control scheme are demonstrated through comparative experimental results using a small size underactuated AUV prototype.
Article
Biotechnology & Applied Microbiology
Xiong Wu, Du Jiang, Juntong Yun, Xin Liu, Ying Sun, Bo Tao, Xiliang Tong, Manman Xu, Jianyi Kong, Ying Liu, Guojun Zhao, Zifan Fang
Summary: This paper proposes a decoupling control algorithm for the problem of severe coupling in the control system of attitude of six degrees of freedom Autonomous Underwater Vehicle. A single control volume-single attitude angle model is constructed. The PSO-ADRC algorithm is used for the automatic adjustment of parameters, improving the anti-interference ability and control accuracy of Autonomous Underwater Vehicle in dynamic environment.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Yongshuai Wang, Zengqiang Chen, Mingwei Sun, Qinglin Sun
Summary: This paper presents an enhancing active disturbance rejection design using deep reinforcement learning-deep deterministic policy gradient (DDPG) to regulate the velocity of autonomous driving. The proposed design combines active disturbance rejection control (ADRC) with DDPG to online estimate and compensate disturbances and uncertainties, and adaptively tune control parameters based on changing environments. Numerical simulations demonstrate the superior performance and robustness of the enhancing design compared to general ADRC and model predictive control (MPC), with improved comfort and energy-saving.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Automation & Control Systems
Qicheng Mei, Jinhua She, Feng Wang, Yosuke Nakanishi, Hiroshi Hashimoto, Daisuke Chugo
Summary: This article presents an improved equivalent-input-disturbance approach for enhancing disturbance rejection in a control system. The approach utilizes an improved EID estimator, which incorporates an additional free matrix obtained from the inverse of the plant input matrix. The analysis of the control system illustrates how the inclusion of the free matrix improves disturbance rejection performance. Experimental results on a Stewart platform for posture control validate the effectiveness of the approach.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Youwu Du, Weihua Cao, Jinhua She
Summary: This article presents a new method that uses the active disturbance rejection control (ADRC) paradigm to address the control problem for a specific type of non-linear systems with unknown disturbances and measurement noise. An improved extended state observer (ESO) is introduced to separate disturbance estimation from state reconstruction, with a new parameter for independent adjustment of disturbance-rejection performance. The method is validated through simulation and experimental results, demonstrating its superiority in disturbance rejection and noise suppression compared to traditional methods.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Yu Zhou, Mingwei Sun, Jianhong Zhang, Zengqiang Chen
Summary: This paper proposes a depth and attitude coordinated control strategy for achieving depth tracking without planing force in the longitudinal dynamics of supercavitating vehicles. The strategy involves adjusting the vehicle's attitude to ensure a small vertical speed and using cascade control structure and linear active disturbance reject control for accurate and robust control of depth, vertical speed, and pitch angular rate.
Article
Automation & Control Systems
Xiang Yin, Yuntao Shi, Jinhua She, Mingyuan Xie, Zewen Wang
Summary: This article overcomes the limitations of applying an equivalent-input-disturbance (EID) approach to nonlinear systems by removing the requirement for the highest angular frequency of disturbances and unknown nonlinearities. An improved EID approach is presented, expanding its application range and enhancing its ability to reject nonlinearities. The method has additional merits, improving nonlinearity-compensation and disturbance-rejection performances while maintaining configuration simplicity.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Hung Nguyen, Kanat Suleimenov, Bao-Huy Nguyen, Thanh Vo-Duy, Minh C. Ta, Ton Duc Do
Summary: This article proposes a study on the unification of disturbance observer based control (DOBC) and active disturbance rejection control (ADRC) for the application of speed control of permanent magnet synchronous motor. The unification of DOBC and ADRC is verified by addressing the dynamical delay formulas of the observations. Simulation and experimental validations demonstrate the identical performance of these two methods in rejecting both external disturbance and model uncertainty.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Xin Li, Wenlin Zhou, Dan Jia, Junzhang Qian, Jun Luo, Ping Jiang, Wenli Ma
Summary: This article proposes a feedforward friction compensated linear active disturbance rejection control (FFLADRC) algorithm to solve the problem of a two motors system in a large optical telescope. By decoupling and compensating the friction, the algorithm achieves control over the motors and demonstrates effective results.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Green & Sustainable Science & Technology
Ahmad Taher Azar, Azher M. Abed, Farah Ayad Abdulmajeed, Ibrahim A. Hameed, Nashwa Ahmad Kamal, Anwar Jaafar Mohamad Jawad, Ali Hashim Abbas, Zainab Abdulateef Rashed, Zahraa Sabah Hashim, Mouayad A. Sahib, Ibraheem Kasim Ibraheem, Rasha Thabit
Summary: This paper proposes a maximum power point tracking method for photovoltaic systems based on active disturbance rejection control, aiming to ensure the system operates at the maximum power point under external disturbances and uncertainties. The method controls the duty cycle of the DC-DC buck converter to provide better performance and tracking for the maximum power point.
Article
Automation & Control Systems
Shaomeng Gu, Jinhui Zhang, Xin Liu
Summary: This article proposes a novel finite-time variable-gain active disturbance rejection control (FTVGADRC) method for master-slave teleoperated parallel manipulators with disturbances. The FTVGADRC method incorporates error-based variable gains to improve control performances, and the steady-state performance and settling time are calculated. Feasible solutions of the sufficient conditions in the stability analysis are also discussed and provided explicitly.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Radoslaw Patelski, Dariusz Pazderski
Summary: This paper investigates the influence of input-gain uncertainty on the tracking performance of a control structure designed based on the ADRC paradigm, using a second-order plant as an example. The results demonstrate that selecting an input-gain parameter different from the real plant can significantly improve control precision if the controller is designed in an error domain. The study also found that the closed-loop system remains stable and tracking errors decrease when the input gain value is derived from multiplying the plant gain input by a positive factor smaller than a certain threshold value.
Article
Automation & Control Systems
Wenchao Xue, Sen Chen, Cheng Zhao, Yi Huang, Jianbo Su
Summary: This article discusses integrating uncertainty estimator into PI controller for better robustness and transient performance against uncertain nonlinear coupling dynamics and time-varying disturbances. It covers the descriptions for the sizes of three kinds of uncertainties, tuning laws of ESO, and the importance of tuning the bandwidth of ESO for desired transient performance. Furthermore, it is shown that stronger disturbance rejection at low frequency can be achieved by integrating the uncertainty estimator module.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Mathematics
Blanca Viviana Martinez, Javier Sanchis, Sergio Garcia-Nieto, Miguel Martinez
Summary: A set of tuning rules for Linear Active Disturbance Rejection Controller (LADRC) with three different compromise levels between disturbance rejection and robustness is proposed. These rules, validated through examples and control of a nonlinear thermal process, offer improvement in disturbance rejection, robustness, or both compared to classical PID and other LADRC tuning methods.
Article
Engineering, Electrical & Electronic
Chuang Wang, Zidong Wang, Weibo Liu, Yuxuan Shen, Hongli Dong
Summary: This article proposes a two-stage deep offline-to-online transfer learning framework (DOTLF) for long-distance pipeline leakage detection (PLD). At the offline training stage, a feature transfer-based long short-term memory network with regularization information (TL-LSTM-Ri) is developed to extract domain-invariant features and early fault features. At the online detection stage, the trained TL-LSTM-Ri is used for motion prediction to monitor the pipeline's operating condition in real time. The DOTLF is successfully applied to real-time PLD on long-distance oil-gas pipeline data, and experimental results demonstrate its effectiveness.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Artificial Intelligence
Zhigang Liu, Xin Luo, Zidong Wang, Xiaohui Liu
Summary: This study proposes a Constraintinduced Symmetric Nonnegative Matrix Factorization (C-SNMF) model for community detection. Experimental results demonstrate that the proposed model significantly outperforms benchmarks and state-of-the-art models in achieving highly-accurate community detection results.
INFORMATION FUSION
(2023)
Article
Automation & Control Systems
Kaiqun Zhu, Zidong Wang, Qing-Long Han, Guoliang Wei
Summary: This article investigates the distributed set-membership fusion filtering problem for nonlinear 2-D shift-varying systems subject to unknown-but-bounded noises over sensor networks. It introduces a logarithmic-type encoding-decoding mechanism for each sensor node to enhance transmission security and relieve communication burden. A distributed set-membership filter is designed to determine the local ellipsoidal set that contains the system state. A new ellipsoid-based fusion rule is developed to form the fused ellipsoidal set with a globally smaller volume. Sufficient conditions are derived for the existence of the desired distributed set-membership filters and fusion weights.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Wei Chen, Zidong Wang, Derui Ding, Gheorghita Ghinea, Hongjian Liu
Summary: This article investigates the distributed formation-containment (FC) control problem for a class of discrete-time multiagent systems (DT-MASs) under the event-triggered communication mechanism. A novel dynamic event-triggered (DET) mechanism is developed to save communication cost and improve resource utilization. Based on available relative outputs, a distributed FC control scheme under the DET mechanism is proposed for all leaders and followers. The goal is to design an FC controller such that all leaders achieve formation shape and all followers converge into a convex hull. The considered DT-MASs are decoupled into a diagonal form using the Laplacian matrix property and inequality technique, and two sufficient conditions are established to ensure the desired FC performance. The FC controller parameters are obtained based on the solutions to two matrix inequalities depending on the maximum and minimum nonzero eigenvalues of the Laplacian matrix. An illustrative example is provided to verify the effectiveness of the developed control scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Weihao Song, Zidong Wang, Zhongkui Li, Hongli Dong, Qing-Long Han
Summary: This paper investigates the particle filtering problem for a class of discrete-time nonlinear complex networks with stochastic perturbations under the scheduling of random access protocol. The stochastic perturbations include on-off stochastic coupling, non-Gaussian noises, and measurement censoring. A random access protocol is used to alleviate data collision over the networks, and two expressions of the modified likelihood function are established to weaken the adverse effects from measurement censoring. A protocol-based filter is designed in the auxiliary particle filtering framework to generate new particles and assign weights based on the derived likelihood function. The developed filtering scheme is demonstrated to be practicable and effective through a multi-target tracking application.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Lei Cheng, Yuan Yuan
Summary: This article investigates a class of multiplayer obstacle avoidance pursuit-evasion games with intracoalition cooperation and intercoalition confrontation. A communication topology graph is used to quantify the interactions among the players for obtaining distributed control strategy. The solutions of the Hamilton-Jacobi-Isaacs equations of the pursuit-evasion games are employed to calculate Nash equilibrium of the players. An adaptive method is utilized to obtain the opponent's control parameters for updating multiple distributed control strategies. Moreover, a sufficient condition is provided to guarantee stability of the multiplayer pursuit-evasion (MPPE) game system with adaptive estimation. Finally, an MPPE game experiment with two evaders and two pursuers is carried out to demonstrate the effectiveness of the proposed methodology.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Yang Liu, Zidong Wang, Cunjia Liu, Matthew Coombes, Wen-Hua Chen
Summary: This article addresses the particle filtering problem for nonlinear/non-Gaussian systems with quantized measurements and multiple degrading sensors. It proposes a degradation variable described by the Wiener process to model sensor degradation commonly encountered in engineering practice. An augmented system is constructed to aggregate the original system state and the degradation variables. A novel particle filtering algorithm is developed considering the sensor degradation and quantization errors, where the parameters of degradation processes and quantization functions are exploited to obtain modified importance weights. The effectiveness of the proposed method is demonstrated through a target tracking example with bearing measurements.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Bogang Qu, Zidong Wang, Bo Shen, Hongli Dong
Summary: This article studies the problem of state estimation in a class of renewable-electricity-generation-based microgrids with measurement outliers. A state-space system model is proposed for microgrids using the physical laws of power systems, without considering prior knowledge of the measurement outliers. To enhance insensitivity against measurement outliers, an outlier-resistant SE algorithm is developed with two distinct features: adopting a saturation function to constrain the innovation term in the state estimator and minimizing the estimation error covariance by selecting proper gain parameters. Simulation studies on a benchmark islanded microgrid with two renewable-electricity-generation units are conducted to illustrate the validity of the developed algorithm.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Junwan Zhu, Jingrui Duan, Zhigang Lu, Zhanliang Wang, Huarong Gong, Yubin Gong
Summary: To improve the performance of sine waveguide traveling wave tubes, a new elliptical beam-tunnel sine waveguide slow wave structure (EBTSW-SWS) is proposed. Compared to the traditional SW-SWS, the EBTSW-SWS has a wider passband and higher interaction impedance. Particle-in-cell simulation results show that the EBTSW-TWT can provide more than 70 W of output power with a maximum efficiency of 4.85% in the frequency range of 200-260 GHz.
JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Hengli Cheng, Bo Shen, Jie Sun
Summary: In this paper, the distributed fusion filtering issue is investigated for multi-sensor systems with the constraints from both time-correlated fading channels and energy harvesters. A dynamic energy-allocated rule is proposed to properly deal with the energy supply relationship between a battery and multiple sensors. The local filter is designed to minimize the upper bound of the local filtering error covariance under the effects of the time-correlated fading channels and energy harvesters, and the fusion estimates are obtained using the covariance intersection approach.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Chemistry, Analytical
Zechuan Wang, Junwan Zhu, Zhigang Lu, Jingrui Duan, Haifeng Chen, Shaomeng Wang, Zhanliang Wang, Huarong Gong, Yubin Gong
Summary: A novel staggered double-segmented grating slow-wave structure (SDSG-SWS) is proposed in this paper for wide-band high-power submillimeter wave traveling-wave tubes (TWTs). The SDSG-SWS combines the advantages of sine waveguide (SW) SWS and staggered double-grating (SDG) SWS, resulting in wide operating band, high interaction impedance, low ohmic loss, low reflection, and ease of fabrication. Analysis of high-frequency characteristics shows that the SDSG-SWS has higher interaction impedance compared to SW-SWS, while the ohmic loss remains similar. The beam-wave interaction calculation results demonstrate that the TWT using SDSG-SWS can achieve an output power above 16.4 W in the frequency range of 316 GHz-405 GHz, with a maximum power of 32.8 W at 340 GHz, and a maximum electron efficiency of 2.84% at an operating voltage of 19.2 kV and current of 60 mA.
Article
Chemistry, Analytical
Yang Dong, Shaomeng Wang, Jingyu Guo, Zhanliang Wang, Huarong Gong, Zhigang Lu, Zhaoyun Duan, Yubin Gong
Summary: This paper proposes an angular radial extended interaction amplifier (AREIA) that consists of a pair of angular extended interaction cavities, which show potential in improving the beam-wave interaction capability of W-band extended interaction klystrons (EIKs). Compared to conventional radial cavities, the angular cavities greatly reduce ohmic loss area and increase characteristic impedance. Particle-in-cell (PIC) results demonstrate the superiority of the proposed design in terms of output power and beam-wave interaction capacity compared to conventional EIAs under certain conditions.
Article
Automation & Control Systems
Xiaobin Zhou, Xiang Yu, Kexin Guo, Sicheng Zhou, Lei Guo, Youmin Zhang, Xiaoyan Peng
Summary: This article addresses the safety control problem of a quadrotor UAV in the presence of actuator faults and external disturbances. It proposes a control scheme based on the quantization of system capability and safety margin, which includes the construction of a trajectory function and a retrofit dynamic surface control. Simulation and experimental studies demonstrate the efficiency of the proposed scheme.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Yuan Yuan, Chunhe Ma, Lei Guo, Peng Zhang
Summary: In this article, the event-triggered epsilon-Nash equilibrium (epsilon-NE) seeking problem is investigated for a class of epsilon-integrator multiagent systems with the consideration of multisource disturbances and measurement outliers. A composite event-triggered NE seeking strategy is developed to ensure the convergence of the states of noncooperative agents to the epsilon-NE solution, by utilizing an event-triggered mechanism and a stubborn extended-state observer (ESO) to suppress measurement outliers and estimate disturbances.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Xiaoping Jiang, Yurong Liu, Tianning Xiu
Summary: X-ray diffraction technology (XRD) is commonly used for mineral separation, and peak identification and comparison are crucial steps. This article proposes an improved symmetric zero-area conversion method (ISZAC) combining data fusion and passive anti-counterfeiting. By introducing a comparison method and flat peak screening, and designing a function group to convert spectral data, the peak address determination is obtained through result fusion. Simulation and experimental results demonstrate that the improved method has higher accuracy and applicability, and can be easily expanded and adjusted for improved recognition efficiency based on spectral data characteristics.
APPLIED SCIENCES-BASEL
(2023)
