Article
Energy & Fuels
Jian Yang, Tiezhu Zhang, Hongxin Zhang, Jichao Hong
Summary: Investigating the effect of vehicle speed thresholds on operating mode switching, the optimal threshold is determined by considering path tracking accuracy, economic performance, vehicle speed, and accumulator pressure as control variables. The constraint relationship between these factors is elucidated by analyzing various road conditions. The research findings demonstrate a positive correlation between starting acceleration capacity and threshold value for a certain accumulator volume. The optimal speed thresholds for different driving cycles are determined, and excessive hydraulic power wastage due to frequent speed switching is highlighted. The appropriate threshold setting can effectively enhance path tracking accuracy and hydraulic utilization under unpredictable road conditions.
Article
Engineering, Electrical & Electronic
Ba-Phuc Huynh, Yong-Lin Kuo
Summary: This paper presents a novel approach for pose estimation of a Hexa parallel robot using color feature points and dynamic hybrid filter. The combination of two filters in the same control scheme contributes to increased stability and improved accuracy of robot's positioning.
JOURNAL OF SENSORS
(2021)
Article
Computer Science, Artificial Intelligence
Andrei Aksjonov, Vincenzo Ricciardi, Klaus Augsburg, Valery Vodovozov, Eduard Petlenkov
Summary: This article conducts a hardware-in-the-loop experiment to verify the functionality of an intelligent open-loop fuzzy-logic-based antilock braking system control method for a four on-board motor drive electric sport utility vehicle. The results indicate that the method can effectively manage the highly nonlinear and time-variant dynamics of the brake system and achieve optimal slip control during regenerative braking.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Heng Du, Lin Wang, Jinda Chen, Hui Huang, Xinyu Feng
Summary: An improved integral sliding-mode control (ISMC) is proposed for the steering system of heavy vehicles, which effectively addresses the accurate steering control issue of dual hydraulic systems. Experimental results demonstrate the outstanding tracking error of ISMC in various test scenarios and its high-precision control capability under lower supply pressure, showcasing its energy-saving potential.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Fisheries
Yinghao Wu, Jincun Liu, Yaoguang Wei, Dong An, Yunhong Duan, Wensheng Li, Baoke Li, Yuanrong Chen, Qiong Wei
Summary: The study introduces a method for netcage inspection using an underwater robot, utilizing a control strategy based on neural network and PID. This approach achieves efficient and accurate path tracking, significantly improving work efficiency and reducing personnel risks.
AQUACULTURE RESEARCH
(2022)
Article
Automation & Control Systems
Xiao Yue, Jiankui Chen, Yiqun Li, Rong Zou, Zhihao Sun, Xiaochuan Cao, Song Zhang
Summary: This paper proposes a model predictive control strategy combined with a fuzzy system to improve the tracking accuracy and stability of skid-steered mobile robots on slopes. By improving the kinematics and dynamics model of the robot, the accuracy of three dimensional motion control is achieved, allowing the robot to adapt to slopes with different angles.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Agronomy
Zhigang Ren, Zhijie Liu, Minxin Yuan, Heng Liu, Wang Wang, Jifeng Qin, Fuzeng Yang
Summary: The study proposed a navigation path-tracking control algorithm based on Double Deep Q-Network to improve the path-tracking accuracy and driving stability of orchard traction spraying robots. The algorithm was self-developed with deep reinforcement learning method and tested in simulations and field tests, showing higher path-tracking accuracy and driving stability compared to traditional algorithms.
Article
Agriculture, Multidisciplinary
Yanming Li, Tao Wu, Yangfan Xiao, Liang Gong, Chengliang Liu
Summary: This study provides a solution for efficient and accurate path planning and tracking for autonomous rice-seeding robots in paddy fields through defining entrance and exit modes, planning paths, and building a kinematic model.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Automation & Control Systems
Yiyang Chen, Christopher T. Freeman
Summary: This paper presents a method for solving the problem of piecewise arc path tracking, where the end-effector of a manufacturing system needs to follow a spatial path without specific temporal tracking constraints. The technique of iterative learning control (ILC) is applied to minimize tracking error over repeated trials by learning from previous trial information. The results show that this method achieves higher path tracking accuracy.
Article
Robotics
Buyun Wang, Yi Liang, Dezhang Xu, Zhihong Wang, Jing Ji
Summary: This study improved the tracking accuracy and power-assisted performance of exoskeleton robot joints through the design of driving system, optimization of motion ranges, and proposal of a control method.
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
(2021)
Article
Automation & Control Systems
Jing Li, Qingbin Wu, Junzheng Wang, Jiehao Li
Summary: The article presents a neural network-based sliding mode tracking control scheme (SMCR) for a developed four wheel-legged robot (BIT-NAZA) under uncertain interaction. A non-singular fast terminal function based on the kinematic model is proposed for path tracking to reduce the influence of uncertain disturbances, while ensuring path tracking control accuracy via neural networks. Demonstrations using the autonomous platform of the BIT-NAZA robot show the robustness and effectiveness of the hybrid algorithm.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Agronomy
Jun Li, Sifan Wang, Wenyu Zhang, Haomin Li, Ye Zeng, Tao Wang, Ke Fei, Xinrui Qiu, Runpeng Jiang, Chaodong Mai, Yachao Cao
Summary: In complex orchard environments, orchard mowing robots often experience longitudinal slippage, which affects their ability to maintain high-precision path tracking and autonomous navigation positioning. To solve these problems, a cascaded path-tracking controller and an adaptive time domain model are established based on a kinematics model. Simulation and field experiments demonstrate the effectiveness of the proposed method in maintaining stable motion and precise path tracking of the mowing robot in orchard environments.
Article
Chemistry, Multidisciplinary
Fenglin Pang, Minzhou Luo, Xiaobin Xu, Zhiying Tan
Summary: This paper proposes a model predictive control algorithm based on an adaptive neural-fuzzy inference system for path tracking control of an omni-directional service robot, and experimental results show significant improvements in distance error, angle error, and stability compared to traditional MPC under different paths.
APPLIED SCIENCES-BASEL
(2021)
Article
Robotics
Huanhuan Ren, Lizhong Zhang, Chengzhi Su
Summary: This paper presents a new type of biped mobile robot with a 6 degree-of-freedom parallel mechanism for each leg, providing better performance on large carrying capacity, strong environmental adaptability, and fast moving speed. The structure of the legs also contributes to the robot's stability and ease of direction change. The inverse kinematics model and gait planning were analyzed and validated, including the special case of the robot maintaining a horizontal upper body while walking on a slopy surface.
Article
Agronomy
Tengxiang Yang, Chengqian Jin, Youliang Ni, Zhen Liu, Man Chen
Summary: In response to the demand for unmanned operation in the field management process of unmanned farms, an unmanned plant protection robot was developed. This robot integrates unmanned driving technology, image recognition technology, intelligent control technology, and precision operation technology. The crop-weed recognition model developed achieved high accuracy and recall rates after 6000 rounds of training. Field experiments showed that the robot had low errors and significant herbicide savings.
Article
Multidisciplinary Sciences
Chifu Yang, Shutao Zheng, O. Ogbobe Peter, Junwei Han
ADVANCED SCIENCE LETTERS
(2011)
Article
Automation & Control Systems
Shen Gang, Zhu Zhen-Cai, Zhang Lei, Tang Yu, Yang Chi-fu, Zhao Jin-song, Liu Guang-da, Han Jun-Wei
CONTROL ENGINEERING PRACTICE
(2013)
Article
Mechanics
Songjing Li, Chifu Yang, Dan Jiang
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME
(2008)
Article
Engineering, Mechanical
Chifu Yang, Qitao Huang, Hongzhou Jiang, O. Ogbobe Peter, Junwei Han
MECHANISM AND MACHINE THEORY
(2010)
Article
Automation & Control Systems
Chifu Yang, Jingfeng He, Junwei Han, Xiaochu Liu
Article
Automation & Control Systems
Chifu Yang, Qitao Huang, Junwei Han
Article
Engineering, Mechanical
Chifu Yang, Junwei Han, Shutao Zheng, O. Ogbobe Peter
NONLINEAR DYNAMICS
(2012)
Article
Automation & Control Systems
Jinsong Zhao, Gang Shen, Chifu Yang, Guangda Liu, Liyi Yin, Junwei Han
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
(2013)
Article
Computer Science, Interdisciplinary Applications
Chifu Yang, Qitao Huang, Junwei Han
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2012)
Article
Engineering, Multidisciplinary
Xinjian Niu, Chifu Yang, Bowen Tian, Xiang Li, Junwei Han
MATHEMATICAL PROBLEMS IN ENGINEERING
(2019)
Proceedings Paper
Construction & Building Technology
Peter O. Ogbobe, Zhengmao Ye, Jiang Hongzhou, Yang Chifu, Han Junwei
SUSTAINABLE CONSTRUCTION MATERIALS AND COMPUTER ENGINEERING
(2012)
Proceedings Paper
Automation & Control Systems
Chifu Yang, Shutao Zheng, Xinjie Lan, Junwei Han