2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)最新文献_第3页

Multi-UUV Path Planning Study with Improved Ant Colony Algorithm and DDQN Algorithm 基于改进蚁群算法和DDQN算法的多uuv路径规划研究

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545198

Lu YongZhou, Luo Guangyu, G. Xuan

引用次数: 0

An Improved Bit-Flipping Based Decoding Algorithm for Polar Codes

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545101

Xiao Hu, Shufeng Li, Mingyu Cai

引用次数: 0

Determination of Pineapple Ripeness Using Support Vector Machine for Philippine Standards 菲律宾标准用支持向量机测定菠萝成熟度

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545163

Erin Jelacio L. Aguilar, Giann Karlo P. Borromeo, Jocelyn Flores Villaverde

{"title":"Determination of Pineapple Ripeness Using Support Vector Machine for Philippine Standards","authors":"Erin Jelacio L. Aguilar, Giann Karlo P. Borromeo, Jocelyn Flores Villaverde","doi":"10.1109/ICCSSE52761.2021.9545163","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545163","url":null,"abstract":"The determination of the ripeness of pineapple has always relied on the visual judgment of a person. While there may be research papers about pineapple maturity grading which can be found online, there is still a lack of pineapple maturity grading research papers that use the Philippine National Standards (PNS) using automated means. In this study, we will automate the process of determining the ripeness of pineapples based on the Philippine Standard using Support Vector Machine (SVM) and HSV Color Space. Using 100 sample images, we trained the system to identify the pineapple inside a container. It is then processed for segmentation where only the body of the fruit remains on the photo. Using HSV Color Space we detect the colors yellow and green and count their respective pixels. These values were used to determine the maturity of the pineapple. The results yielded a 100% accurate prediction with the Unripe and Overripe classes. However, the system only predicted 86% for Ripe classes. This error can be solved by increasing the lighting on the pineapple for the color to be seen by the camera. The researchers have successfully created a device that can determine the maturity of a pineapple with the use of image processing techniques such as HSV and segmentation.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131417295","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}

引用次数: 14

Immersion and Invariance-Based Adaptive Coordinate Control for Space Manipulator 空间机械臂浸入式不变性自适应坐标控制

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545125

Yi Fan, W. Jing, C. Gao, F. Bernelli-Zazzera

引用次数: 0

Summary of Model Predictive Control Methods in Motor Drive System 电机驱动系统模型预测控制方法综述

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545123

Hanshi Yang, Hong Wu

引用次数: 0

Research on High Precision Cryocooler Control System for Satellite-Borne 星载高精度制冷机控制系统研究

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545148

Li Song, Ziyin Chen, Zhihong Liu, Zhanlei Jin, Rui Cheng, Lanjie Guo

{"title":"Research on High Precision Cryocooler Control System for Satellite-Borne","authors":"Li Song, Ziyin Chen, Zhihong Liu, Zhanlei Jin, Rui Cheng, Lanjie Guo","doi":"10.1109/ICCSSE52761.2021.9545148","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545148","url":null,"abstract":"Aiming at meeting the precise temperature requirement (at mK level) of focal-plane in the remote sensing camera, this paper designs a highly accurate temperature control system based on a Pulse tube cryocooler. In order to ameliorate the control precision of temperature, firstly, the design of constant current source circuit is introduced, and the accuracy requirement of the constant current source is given in consideration of the temperature control requirement. Secondly, we devise the circuits for the two-stage amplifier and the filter, and the selection methods of parameters. Finally, the incremental PID control algorithm is introduced, and numerical experimental results of temperature control in vacuum environment are given: (1) The closed-loop accuracy of cryocooler system are given under different temperature control points, and the temperature control accuracy is all within 10mK; (2) When the temperature of the hot plate of cryocooler system changes within 5 °C, the cryocooler system reaches stability again, and the steady-state error is still within 10mK. Therefore, Experimental results indicate that the closed-loop control accuracy of cryocooler system is within 10mK, and it obtains certain robustness.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129461078","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}

引用次数: 0

Cascaded Design for Robust Path Following Control of an Underactuatd Surface Vehicle 欠驱动地面车辆鲁棒路径跟踪控制的级联设计

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545197

Ziyin Chen, S. Ge

{"title":"Cascaded Design for Robust Path Following Control of an Underactuatd Surface Vehicle","authors":"Ziyin Chen, S. Ge","doi":"10.1109/ICCSSE52761.2021.9545197","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545197","url":null,"abstract":"This paper concerns the cascaded design for path-following control of an underactuated surface vehicle. Different from the traditional way in construction of the Lyapunov function for the overall system iteratively. By constructing the equivalent control for the kinematics, the path-following error dynamics can be transformed into a novel cascaded form, which can be viewed as a self-stable nominal system that is perturbed by a perturbing system through the interconnection and remove the persistent excitation condition constraint on yaw angle. The control of the overall system can be equivalent to stabilization of the perturbing system and analysis the properties of the interconnection function. Since the states in the perturbing system can be actuated directly, the sliding mode control (SMC) is employed to stabilize the perturbing system in the present of model uncertainties, the verification for the stability of the cascaded system is carried out the make sure the sufficient conditions are satisfied to guarantee the global asymptotic stable for all signals in the closed-loop. Finally, the simulation results are provided to illustrate the effectiveness of the proposed method.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126798440","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}

引用次数: 1

A Durian Variety Identifier Using Canny Edge and CNN 基于Canny Edge和CNN的榴莲品种识别

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545195

Julie N. Uy, J. Villaverde

{"title":"A Durian Variety Identifier Using Canny Edge and CNN","authors":"Julie N. Uy, J. Villaverde","doi":"10.1109/ICCSSE52761.2021.9545195","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545195","url":null,"abstract":"Durian belongs to the genus Durio and a native fruit in tropical countries in the regions of Southeast Asia such as Malaysia, Indonesia, Thailand, and the Philippines. Durian can be easily recognized by its spiky husk and pungent aroma. There are plenty of varieties of Durian which are hard to differentiate by someone who is even an expert of the said fruit. This study is conducted to utilize Raspberry Pi. It will be used to implement image processing algorithms and to create a portable device to identify the fruit’s variety. Image Processing has been used in today’s modern technology like in medicine, media, or the like, and devices are portable for accessibility. The researcher has considered the usefulness of this study and to further understand and acquire useful information of the portable device that will be created to identify Durian variants. Due to the multiple numbers of Durian varieties, the researcher has to determine 6 variants. As the study focused on the unknown variant, the researcher will use a guide on the datasets that will be needed for the training and testing phase of the software. The whole device would then be inspected and would document the accuracy of each variant. The data that the researcher will need to determine the quality and the accuracy of the software, further training and more testing will be needed to get the required acceptable accuracy percentage.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116096920","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}

引用次数: 11

Inverse Kinematics Solution of Redundant Degree of Freedom Robot Based on Improved Quantum Particle Swarm Optimization 基于改进量子粒子群优化的冗余自由度机器人运动学逆解

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545199

Yuting Cao, Wenjie Wang, Liping Ma, Xiaohua Wang

{"title":"Inverse Kinematics Solution of Redundant Degree of Freedom Robot Based on Improved Quantum Particle Swarm Optimization","authors":"Yuting Cao, Wenjie Wang, Liping Ma, Xiaohua Wang","doi":"10.1109/ICCSSE52761.2021.9545199","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545199","url":null,"abstract":"To overcome the shortcomings of conventional methods in solving inverse kinematics problems of redundant degree-of-freedom robots, this paper converts the inverse kinematics problems of the manipulator into target optimization problems, and it presents an Improved quantum particle swarm optimization algorithm (IQPSO), which is used to solve the inverse kinematics problems. In this algorithm, quantum behavior is added to the particle swarm optimization algorithm, and the improved contraction expansion coefficient with first large and then small is adopted, which can not only traverse the whole search space, but also improve the convergence speed and solution accuracy. Based on the forward kinematics equation, this paper takes the position error of the end-effector of the robot and the minimum energy consumption in the process of the robot motion as the optimization objectives, and it conducts simulation experiments on a 7-degree-of-freedom (7-DOF) robot. The experimental result shows that the IQPSO algorithm has faster convergence speed and higher solution accuracy than the traditional particle swarm optimization algorithm (PSO) and quantum particle swarm optimization algorithm (QPSO). It is an effective method to solve the inverse kinematics problem of the robot.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123639001","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}

引用次数: 0

Backstepping Control Design of Supercavitating Vehicles Based on Cascade Method 基于串级法的超空泡车辆反步控制设计

2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2021-07-30 DOI: 10.1109/ICCSSE52761.2021.9545103

Xinhua Zhao, X. Wang, Litao Jing, Kaiyan Niu

引用次数: 0