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Research on DTC of Induction Motor Based on TMS320F2812 基于TMS320F2812的异步电机直接转矩控制研究
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.154
Xuezhi Hu, Guangqun Nan
{"title":"Research on DTC of Induction Motor Based on TMS320F2812","authors":"Xuezhi Hu, Guangqun Nan","doi":"10.1109/PACIIA.2008.154","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.154","url":null,"abstract":"This paper establishes the mathematical model of direct torque control (DTC) system of induction motor. Then a realization scheme of fully digitized direct torque control system is introduced with the DSP TMS320F2812 that works as the core control chip and IPM that works as main circuit. The control scheme obtains the switch control signal of inverter with the space voltage vector modulation technology. The system hardware and software structures are presented in this paper. The test results show that the DTC with SVPWM has many merits such as simple realization, good running performance and high voltage utilization ratio.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123512111","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 Research on Particle Swarm Optimization and Its Application in Robot Manipulators 粒子群优化及其在机械臂中的应用研究
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.226
Gang Huang, Dehua Li, Jie Yang
{"title":"A Research on Particle Swarm Optimization and Its Application in Robot Manipulators","authors":"Gang Huang, Dehua Li, Jie Yang","doi":"10.1109/PACIIA.2008.226","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.226","url":null,"abstract":"Trajectory planning problem (TPP) of robot manipulator is a highly constrained and nonlinear optimization problem, aims to minimize the total path motion associated with obstacle avoidance. Based on some certain constraints listed in this paper. A particle swarm optimization (PSO) based algorithm is put forward to solve this issue. The proposed algorithm consists of a hybrid approach regarding SA. Then the SA-PSO has been implemented on a tested example. In addition, a conventional algorithms, namely A* Algorithm (AA), is introduced to make a comparison with SA-PSO. The computational results show that the developed algorithm is computationally better (in terms of the convergence time and precision of solution) than the other method.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133793169","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 Use of Curve Moment Invariants in Recognition of Partially Occluded Objects 曲线矩不变性在部分遮挡物体识别中的应用
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.151
Lichun Kang, K. Lim, Jin Yao
{"title":"A Use of Curve Moment Invariants in Recognition of Partially Occluded Objects","authors":"Lichun Kang, K. Lim, Jin Yao","doi":"10.1109/PACIIA.2008.151","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.151","url":null,"abstract":"The paper presents a new algorithm using curve moment invariants to recognize partially occluded objects in an image. A database is initially built to store the information of a variety of objects after calculating their features represented by curve moment invariants. The images are described by series of corresponding curve moment invariants of the objects as their descriptors. Accordingly, the occluded objects in the images can then be recognized after querying in the model database with prior knowledge of different objects. Results from experiments turn out to be reliable and feasible to recognize images with occlusion.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"361 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114058101","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
Study on Depth Prediction of Abrasive Water Jet Perforation Using Back Propagation Neural Network 基于反向传播神经网络的磨料水射流穿孔深度预测研究
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.216
Weidong Zhou, Ruihe Wang, H. Li, Luopeng Li
{"title":"Study on Depth Prediction of Abrasive Water Jet Perforation Using Back Propagation Neural Network","authors":"Weidong Zhou, Ruihe Wang, H. Li, Luopeng Li","doi":"10.1109/PACIIA.2008.216","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.216","url":null,"abstract":"Abrasive water jet can be applied to perforate the oil formation rock. The perforation depth generated by abrasive water jet is nonlinearly influenced by so many factors that it is difficult to mathematically correlate the perforation depth with influencing factors. So the back propagation (BP) neural network is introduced to establish the model for predicting perforation depth generated by abrasive water jet. Firstly the fundamentals of BP algorithm are briefly reviewed in this paper. Then regarding the special application of BP network in this research, the methodology of how to select sample set, how to optimize the BP hierarchy and the number of nodes in hidden layer is given in detail. The established BP model is trained and tested by an experimental data set. The test results show that the prediction precision of the BP model can completely meet engineering requirements with the average relative prediction error of only 3.54%.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123444435","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
Selective SVM Ensembles Based on Modified BPSO 基于改进BPSO的选择性支持向量机集成
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.111
Hong-da Zhang, Xiao-dan Wang, Chong-ming Wu, Bo Ji, Hai-long Xu
{"title":"Selective SVM Ensembles Based on Modified BPSO","authors":"Hong-da Zhang, Xiao-dan Wang, Chong-ming Wu, Bo Ji, Hai-long Xu","doi":"10.1109/PACIIA.2008.111","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.111","url":null,"abstract":"Selective ensemble is effective for improve the classification performance through taking full advantage of the diversity and supplement between base classifiers. A BPSO (binary particle swarm optimization) based selective SVM ensemble approach is proposed to ensure the diversity and supplement among base classifiers in the training phase and high performance in the selection phase. Firstly, bootstrap method introduced by Bagging is employed to select the training set; secondly, SVMs are trained with hyper-parameters randomly selected from the space defined with respect to the distribution characteristics of data sets; thirdly, taking classification accuracy of selected ensemble as the optimization object, BPSO is applied to acquire the final selective ensemble. Experiments indicate that the proposed approach remarkably improves the classification accuracy with much less member classifiers compare to the whole ensemble.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114349696","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: 7
Research on the Chaos Synchronization System Based on Critical State Control 基于临界状态控制的混沌同步系统研究
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.421
Lixing Ma
{"title":"Research on the Chaos Synchronization System Based on Critical State Control","authors":"Lixing Ma","doi":"10.1109/PACIIA.2008.421","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.421","url":null,"abstract":"Chaos synchronization system is significant in future practice. Impulsive control is an effective method for generation of chaos synchronization. Based on analysis of critical state in chaos systems, a new impulsive synchronization approach is put forward, and the construction of synchronic system is schemed. Through analyzing the critical state of the strange attractor in chaos systems, it reveals that state needed for impulsive control is only the critical state of the chaotic system once a proper condition for judgment of critical state is selected. By such a theory chaos synchronization can be realized accurately and the control frequency as well as control cost will decrease greatly. The theory is finally verified by simulation result.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123428686","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: 5
The Design of Autonomous Smart Car Used in Simulation of Vehicle Platoon 用于车辆队列仿真的自主智能汽车设计
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.344
Jian Wan, X. Chu, Yong Wu, Rui Zhang
{"title":"The Design of Autonomous Smart Car Used in Simulation of Vehicle Platoon","authors":"Jian Wan, X. Chu, Yong Wu, Rui Zhang","doi":"10.1109/PACIIA.2008.344","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.344","url":null,"abstract":"The autonomous smart car is the foundation of physical simulation of vehicle platoon based on vehicle and road cooperation. This paper analyzed the architecture of vehicle platoon system in the case of vehicle-road cooperation, and proposed the constitution and structure of autonomous smart car control system.After analyzing functional requirement of the autonomous smart car, the paper designed the key hardware and software of the autonomous smart car. It took the microchip as the controller, and used camera and ultrasonic sensor for the lane navigation. At the same time, it used DC motor for control driving and steering,and the Zigbee technology was adopted to design the wireless communication module. The key algorithm about recognizing navigation lane and movement controlling method was proposed, including path extraction and controlling algorithms. The test indicated the autonomous smart car had a good and stable performance.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122665968","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: 5
A Redundant-Sensor-Based Fault Reasoning Technique for Multi-Sensors 基于冗余传感器的多传感器故障推理技术
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.191
Shaoping Ku, Yefa Hu, Zude Zhou
{"title":"A Redundant-Sensor-Based Fault Reasoning Technique for Multi-Sensors","authors":"Shaoping Ku, Yefa Hu, Zude Zhou","doi":"10.1109/PACIIA.2008.191","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.191","url":null,"abstract":"In magnetic bearing systems or other relative devices with multi-sensors which states are not easy to be monitored and tested, multi-valued logic algebra based on sequential variables is suggested to be utilized in the fault diagnosis of the multi-sensors. The states of sensors and devices are both discretized to be three logic values: normal, abnormal and a transition state between them. On the basis of proving several relative theorems that can reveal the relation between the states of the sensors and that of the devices, the experiment arrangement is discussed in detail when the state of a device is anyone of the three states respectively. All the completed experiments should be necessary and be without redundant ones. A novel redundant-sensor-based fault reasoning technique is presented to be used for fault diagnosis of multi-sensors according to the experiment results. The reasoning result shows that it is not in all the occasions that the state of every sensor can be determined. Fault diagnosis should be carried out early when there are not too many sensors with fault.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"485 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123032896","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: 2
An Approach to Dynamic Software Updating for Java Java软件动态更新的一种方法
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.262
Zhenxing Yao, Zhixiang Zhang, K. Ben
{"title":"An Approach to Dynamic Software Updating for Java","authors":"Zhenxing Yao, Zhixiang Zhang, K. Ben","doi":"10.1109/PACIIA.2008.262","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.262","url":null,"abstract":"To cope with demands for new and extended functionality, software systems must be updated regularly. Some applications, however, need to be continuously available because they are providing services that are important for users at all times. To avoid downtime for software maintenance, applications must be updated at run-time. So the correctness of dynamic updating is very important. In this paper, static analysis is proposed to guarantee the correctness of dynamic updating. In order to make the dynamic updating easier and more flexible, an approach of dynamic software updating for Java application is presented. The method makes use of the dynamic weaving mechanism of AOP and the java class dynamic loading mechanism. In the end, the proposed method is applied in a practical project.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"72 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114102475","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: 4
A New Thresholding Method Applied to Motion Detection 一种新的运动检测阈值分割方法
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.193
Huimin Wu, Xiaoshi Zheng, Yanling Zhao, Na Li
{"title":"A New Thresholding Method Applied to Motion Detection","authors":"Huimin Wu, Xiaoshi Zheng, Yanling Zhao, Na Li","doi":"10.1109/PACIIA.2008.193","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.193","url":null,"abstract":"The thresholding method is a fundamental part for motion detection and other advanced applications,so this step is very important, it must base on a reliable, effective method in order to access to the robustness of the computer intelligent video surveillance system. A new thresholding method which is simple and effective is proposed in the article. Firstly, we propose an imitating uni-Gaussian model thresholding method for motion detection, aiming at the disadvantages of this algorithm existed in the experiment, a predecessor's research is introduced, and then the second mixed thresholding method based on complementary advantages of the two aforesaid methods is proposed. Experiment results show that our final method can obtain clear and complete information of the moving object, and eliminate noise fundamentally for the scene at the same time. Motion detection with this thresholding method is accurate and real-time.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114744954","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: 12
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