{"title":"Event-triggered Decentralized Fault-tolerant Control for Multi-fault Modular Manipulator with Input Constraints","authors":"Ziyao Song, Tianhao Ma, Yadan Zhao, Fan Zhou","doi":"10.1109/RCAE56054.2022.9995899","DOIUrl":"https://doi.org/10.1109/RCAE56054.2022.9995899","url":null,"abstract":"In this paper, a fault-tolerant controller based on event-triggered is proposed for multi-fault modular manipulator with input constraints. The joint torque feedback (JTF) technique is used to establish dynamic model of subsystem. The performance index function designed in this paper included the compensation term for model uncertainty, and the observer for fault estimation and tracking error. The hyperbolic tangent function is introduced to input the system. Adaptive dynamic programming (ADP) is introduced to reduce the dimensionality disaster of the system, and combined with the event-triggered mechanism to reduce the update frequency of the system. Hamilton Jacobi Bellman (HJB) equation is mainly solved by neural network. The stability of the closed-loop system is proved by Lyapunov theorem. The effectiveness of this control method is verified by simulation.","PeriodicalId":165439,"journal":{"name":"2022 5th International Conference on Robotics, Control and Automation Engineering (RCAE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132236222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianan Huang, Y. Lian, Jicheng Wang, Bing Dong, Zuofei Shi
{"title":"Extended Kalman Filter-Based Vehicle State Estimation for Direct Yaw Moment Control Systems","authors":"Jianan Huang, Y. Lian, Jicheng Wang, Bing Dong, Zuofei Shi","doi":"10.1109/RCAE56054.2022.9995854","DOIUrl":"https://doi.org/10.1109/RCAE56054.2022.9995854","url":null,"abstract":"This paper presents a vehicle state parameter estimation method based on an extended Kalman filter with a three-degree-of-freedom vehicle dynamic model, and a simulation platform for the vehicle direct yaw moment control system is built using Carsim/Simulink to estimate the longitudinal vehicle speed, vehicle sideslip angle, and yaw angle respectively in real-time. The simulations were carried out at different vehicle speeds with steering wheel input angular step signals and modeled and estimated values are given for longitudinal vehicle speed, vehicle slip angle, and yaw angle, respectively. Simulation results show that the extended Kalman filter method is well for estimating vehicle state parameters with high accuracy and provides the necessary sensory information for the direct yaw control system of vehicles.","PeriodicalId":165439,"journal":{"name":"2022 5th International Conference on Robotics, Control and Automation Engineering (RCAE)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127109471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Design of Movable Garbage Sorting and Recycling Device","authors":"Juan Lin, Yongjing Wang, Yuan Yuan","doi":"10.1109/RCAE56054.2022.9995837","DOIUrl":"https://doi.org/10.1109/RCAE56054.2022.9995837","url":null,"abstract":"With the progress of social productivity and the gradual improvement of people's living standards, more and more domestic waste is produced. Aiming at the problem of household domestic waste classification, an autonomous mobile waste classification collector is designed, which combines deep learning image classification with embedded technology, integrating sound source positioning, path planning and waste classification. Taking Jetson nano as the data processing center, the time delay estimation algorithm is used to obtain the location of the sound source, the lidar is used to scan the information of the surrounding environment, the SLAM algorithm is used to model the environment in two dimensions, and the path is planned for the work of the garbage collector. Taking STM32 single chip microcomputer as the control core of the motor control system, the chassis DC motor control adopts PID algorithm for closed-loop control to achieve the function of accurate positioning. After the camera collects the image information of the garbage, it uses the Yolo algorithm to detect the target and automatically classify the garbage. This design increases the convenience of household waste classification, so that each user can classify waste more quickly and easily.","PeriodicalId":165439,"journal":{"name":"2022 5th International Conference on Robotics, Control and Automation Engineering (RCAE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128493744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}