Article
Chemistry, Multidisciplinary
Mingjie Li, Qiang Zhang
Summary: This paper focuses on the velocity and force control of a single-rod electro-hydraulic actuator, considering parameter uncertainties and uncertain nonlinearities. Impedance control and adaptive robust control are used to achieve accurate velocity tracking and force regulation.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Chenyang Jiang, Shuai Sui, Shaocheng Tong
Summary: This article studies the fuzzy finite-time output-feedback control problem on electro-hydraulic systems (EHSs) with unknown states and actuator faults. Fuzzy logic systems (FLSs) are used to approximate the unknown nonlinear dynamics, and fuzzy adaptive state estimators are formulated. A backstepping fuzzy fault-tolerant control (FTC) method is presented under the frameworks of finite-time stability. The developed control scheme has fast convergence, strong robustness, and does not require direct measurements of the system states.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Yunfei Wang, Jiyun Zhao, Haigang Ding, He Zhang
Summary: This paper proposes an output feedback controller for accurate position control of an electro-hydraulic asymmetric cylinder system using only available displacement signal. By estimating system states, designing a high gain disturbance observer, and introducing a sliding mode surface, the method achieves disturbance rejection control of the system.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Computer Science, Information Systems
Chenyang Jiang, Shuai Sui, Shaocheng Tong
Summary: This paper presents an adaptive neural network control approach for an electro-hydraulic system to handle the nonlinear uncertainties. By constructing barrier Lyapunov functions and utilizing the adaptive backstepping control design technique, the controlled electro-hydraulic system can be stabilized and the system output can track the desired reference signal.
Article
Automation & Control Systems
Bobo Helian, Zheng Chen, Bin Yao, Litong Lyu, Chen Li
Summary: Direct-driven electro-hydraulic systems have energy-saving and control flexibility advantages, but limited control accuracy due to nonlinear hydraulic dynamics and pump flow nonlinearity. This article proposes an adaptive robust motion control strategy with polynomial fitting model compensation for precise motion control, demonstrating advantages in stability and parameter estimation.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Automation & Control Systems
Hao Feng, Jinye Jiang, Xiaodan Chang, Chenbo Yin, Donghui Cao, Hongfu Yu, Chunbiao Li, Jiaxue Xie
Summary: A fuzzy adaptive sliding mode controller is proposed to enhance the trajectory tracking accuracy and robustness of a heavy electro-hydraulic position system. The controller utilizes a potential-like function to design a new sliding surface with a non-linear integral term. An adaptive controller is employed to approximate the equivalent controller in sliding mode control.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Chenyang Jiang, Shao-cheng Tong, Wei Dai
Summary: This article considers a fuzzy adaptive event-triggered control design problem for electro-hydraulic systems. The addressed electro-hydraulic system contains immeasurable states and unknown nonlinear dynamics. Fuzzy logic systems (FLSs) are utilized to model the controlled electro-hydraulic system, and a state observer is formulated to get the estimations of the immeasurable states. The stability of the controlled electro-hydraulic system and the convergence of the tracking error are proved.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Yu Song, Zhongwang Hu, Chao Ai
Summary: This paper proposes a compensation control algorithm based on fuzzy control theory for the high-precision position control of electro-hydraulic servo pump control system. By establishing oil compression and system leakage compensation controllers and compensating for the position error caused by load disturbance based on fuzzy control rules, the steady-state accuracy and anti-disturbance capability of the system are significantly improved.
Article
Automation & Control Systems
Chenyang Jiang, Shuai Sui, Yongming Li, Shaocheng Tong
Summary: In this paper, an adaptive neural network output feedback control method is proposed for electro-hydraulic systems. The unknown nonlinearities of friction and internal leakage in the controlled system are approximated by neural networks. A neural network state observer is designed to estimate the unmeasurable states of the system. Then, a novel adaptive neural network output feedback control scheme is formulated using the adaptive backstepping control design technique. The stability of the controlled system and the tracking performance of the output signal are proved by constructing a Lyapunov function. Finally, the effectiveness of the proposed controller is validated through computer simulation.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Automation & Control Systems
Saeed Zaare, Mohammad Reza Soltanpour
Summary: This paper presents an optimal robust adaptive fuzzy backstepping control for the position control of an electro-hydraulic servo system in the presence of uncertainties. The control combines backstepping technique and fuzzy approximator to achieve global asymptotic stability in the closed-loop system.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2022)
Article
Chemistry, Multidisciplinary
Manh Hung Nguyen, Hoang Vu Dao, Kyoung Kwan Ahn
Summary: In this paper, a novel adaptive robust control scheme is proposed for electro-hydraulic servo systems with uncertainties and disturbances. The control system utilizes neural network-based approximators and disturbance observers to accurately compensate for system imperfections and disturbances, ensuring high-accuracy position tracking performance. The stability of the control mechanism is proven using Lyapunov theory, and numerical simulations validate the effectiveness of the proposed approach.
APPLIED SCIENCES-BASEL
(2022)
Article
Agricultural Engineering
Guangfei Xu, Meizhou Chen, Xiangkun He, Huanxiao Pang, Hequan Miao, Peide Cui, Wenjun Wang, Peisong Diao
Summary: The study introduces a layered multi-loop robust control architecture (LMLRC) to effectively address uncertainties and disturbances in tractor path following, achieving better dynamic stability through the design of path tracking layer, angle tracking layer, and current tracking layer.
BIOSYSTEMS ENGINEERING
(2021)
Article
Engineering, Marine
Shizhao Zhou, Chong Shen, Yangxiu Xia, Zheng Chen, Shiqiang Zhu
Summary: Due to the increasing demand for exploration of subsea resources and the development of hydraulic technology, underwater hydraulic manipulator is widely used in various underwater operations. However, the complexity of underwater tasks leads to the increasing requirements for precision operation of underwater hydraulic manipulator. This paper proposes an adaptive robust controller combined with backstepping strategy to achieve precise motion control of underwater hydraulic manipulator, considering the complexity of hydraulic system model and external disturbance from subsea.
Article
Automation & Control Systems
Qing Guo
Summary: An optimal robust controller is proposed in this study to address the issues of hydraulic parametric uncertainty and unknown external loads in the electro-hydraulic system (EHS). The controller constructs a Hamilton-Jacobi-Bellman (HJB) equation based on the tracking error model of EHS to optimize the performance cost function and derive the optimal control variable. A critical neural network is used to estimate the optimal control solution of the HJB equation, ensuring the uniform ultimate boundary of the system state error of EHS. The effectiveness of the proposed controller is verified through comparative simulation and experimental results.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Engineering, Chemical
Wenguang Jiang, Cheng Zhang, Pengshuo Jia, Guishan Yan, Rui Ma, Gexin Chen, Chao Ai, Tiangui Zhang
Summary: This paper studies the characteristics of the electro-hydraulic servo pump control system under the electromechanical-hydraulic coupling condition and analyzes the influence laws between the parameters. It provides a theoretical basis and guidance for high-performance control through simulation.
Article
Automation & Control Systems
Shreekant Gayaka, Lu Lu, Bin Yao
Article
Engineering, Aerospace
Yao Jianyong, Jiao Zongxia, Yao Bin
CHINESE JOURNAL OF AERONAUTICS
(2012)
Article
Engineering, Aerospace
Yao Jianyong, Jiao Zongxia, Yao Bin, Shang Yaoxing, Dong Wenbin
CHINESE JOURNAL OF AERONAUTICS
(2012)
Article
Automation & Control Systems
Lu Lu, Zheng Chen, Bin Yao, Qingfeng Wang
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2013)
Article
Automation & Control Systems
Zheng Chen, Bin Yao, Qingfeng Wang
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2013)
Article
Automation & Control Systems
Bin Yao, Chuxiong Hu, Qingfeng Wang
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2012)
Article
Automation & Control Systems
Chuxiong Hu, Bin Yao, Qingfeng Wang
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2013)
Article
Automation & Control Systems
Shreekant Gayaka, Bin Yao
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2011)
Article
Automation & Control Systems
Amit Mohanty, Shreekant Gayaka, Bin Yao
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2012)
Article
Engineering, Manufacturing
Chuxiong Hu, Bin Yao, Qingfeng Wang, Zheng Chen, Cong Li
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2011)
Article
Automation & Control Systems
Shreekant Gayaka, Bin Yao
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2011)
Article
Automation & Control Systems
Jun Jiang, Jian Guo, Bin Yao, Qingwei Chen
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2012)
Proceedings Paper
Computer Science, Hardware & Architecture
Jianyong Yao, Zongxia Jiao, Bin Yao, Wenbin Dong
2012 10TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
(2012)
Proceedings Paper
Automation & Control Systems
Varun Agrawal, William J. Peine, Bin Yao
2012 AMERICAN CONTROL CONFERENCE (ACC)
(2012)
Proceedings Paper
Automation & Control Systems
Zheng Chen, Bin Yao, Qingfeng Wang
2012 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM)
(2012)