{"title":"Modeling and motion analysis of four-Mecanum wheel omni-directional mobile platform","authors":"Yifan Jia, X. Song, S. Xu","doi":"10.1109/CACS.2013.6734155","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734155","url":null,"abstract":"Because of its comprehensive and flexible sporty performance, omni-directional mobile platform is widely used in industrial production, daily life as well as military fields. Disposed on four terminals of the vehicle body, each wheel's movement is controlled by an independent motor respectively. In this paper, we provide a structural analysis and motion resolving solution to the platform based on four separate Mecanum wheels. We then study the proper layouts that meet the conditions required for full-directional movements. Finally, we build the perspective mathematical model in its kinematics and dynamics terms.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125879903","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":"Wheeled robot navigation and local-map building in unknown environments","authors":"Hung-Yuan Chung, C. Hou, Zih-Rong Lu","doi":"10.1109/CACS.2013.6734159","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734159","url":null,"abstract":"This paper develops a approach of Navigation for a wheeled mobile robot (WMR) that can build local-map and achieve obstacle avoidance in an unknown environment. There is a Laser Range Finder (LRF) on the top of the WMR. The data of the LRF are used to build the local-map and uses the Vector Field Histograms (VFHs) methods to achieve obstacle avoidance in an environment. In order to build the local-map, the data of the LRF could be analyzed by three steps: region partitioning, line segment extracting and line segment fitting. Then the local-map information is supply to VFH to accomplish avoid obstacles. Finally, the simulations are given to verify to the feasibility and effectiveness of the present method.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126276033","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":"Implementation of maximum torque per amperage control using estimation technique of rotor time constant","authors":"M. Tsai, M. J. Wu, T. C. Tu, B. Chou","doi":"10.1109/CACS.2013.6734146","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734146","url":null,"abstract":"The spindle motor in machine tool mostly adopt induction motor. In order to achieve dynamic control of the magnetic field and torque, one needs to estimate the synchronous induction motor electrical angle. The calculation is based on the basis of the rotor time constant. The accuracy of the parameter measurements will affect the performance significantly. How to improve the spindle motor torque is also an important object in development indirect control of induction motor. Through the maximum torque per amperage control (MTPA) method, one can effectively maximize the torque. In general, the field current and torque current will be set to the same values. But the simulation is found that when there are severe magnetic saturation phenomenon, torque will be less than expected. Therefore, we will use the exciting flux method to achieve maximum torque. This study performs the rotor time constant identification and exciting flux control method by Simulink simulation.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121324684","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":"Indoor navigation with smartphone-based visual SLAM and Bluetooth-connected wheel-robot","authors":"W. Kao, Bui Quang Huy","doi":"10.1109/CACS.2013.6734167","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734167","url":null,"abstract":"A smartphone-based positioning system suitable for indoor robot application is developed in this research by integrating image and other sensors on a smartphone with wheel odometer feedback from a Bluetooth-connected robot vehicle. WiFi signal, inertial sensors, and CMOS sensor in the smartphone were considered to provide measurements for positioning calculations. The real-time performances of SIFT, SURF, and ORB image feature detection and tracking algorithms are compared in the smartphone and ORB was chosen for implementation. Experimental result of Visual SLAM positioning is presented together with state convergence analysis.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130904320","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":"Sensor filtering for balancing of humanoid robots in highly dynamic environments","authors":"J. Baltes, Chris Iverach-Brereton, J. Anderson","doi":"10.1109/CACS.2013.6734127","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734127","url":null,"abstract":"This paper is part of our on-going research in balancing of humanoid robots in highly dynamic environments. We focus on balancing of a humanoid robot on a Bongo board. One of the problems with balancing in highly dynamic environments such as the Bongo board is the fact that any control algorithm needs to overcome the inherent latency and jitter in the sensors as well as in the actuators of the robot, since it has very little time to react to disturbances. The sensor filter method described in this paper allows the robot Jimmy (a DARwIn-OP robot) to balance for several seconds on a Bongo board. A video of the robot Jimmy balancing on the Bongo board can be found at http://www.youtube.com/watch?v=ia2ZYqqF-lw.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124200191","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":"Identification of the inverse dynamics of robot manipulators with the structured kernel","authors":"Ching-An Cheng, Han-Pang Huang, Huan-Kun Hsu, Wei-Zh Lai, Chih-Chun Cheng, Yung-Chih Li","doi":"10.1109/CACS.2013.6734144","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734144","url":null,"abstract":"The inverse dynamics model of robots is often the key for accurate control. Especially in the computed torque control, the nonlinearity and the friction can be compensated, leading to better performance. The inverse models, however, is not trivial. The traditional Euler-Lagrange model based on the rigid body assumption often underfits in the presence of frictions and requires tedious derivations; the learning-based model needs larger training data set, since the structure of the dynamics is not considered. To overcome the aforementioned issues, we propose a structured kernel to replace the rigid body model and combine it with the universal radial basis kernel by direct sum. The proposed structured kernel asymptotically has the same convergence rate as the traditional model, and is general regardless of the configuration of the robot. Therefore, no analytic derivation is needed. Together with the universal radial basis kernel, the proposed approach enjoys the advantages of both the conventional and the learning-based models. To verify the proposed method, the simulations are used to investigate the performance in terms of the prediction errors.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117273970","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":"Feedforward control for piezoelectric actuator using inverse Prandtl-Ishlinskii model and particle swarm optimization","authors":"Jin-Wei Liang, Hung-Yi Chen, Lung Lin","doi":"10.1109/CACS.2013.6734100","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734100","url":null,"abstract":"In this paper feedforward controller is designed to eliminate nonlinear hysteresis behaviors of a piezoelectric stack actuator (PSA) driven system. The control design is based on inverse Prandtl-Ishlinskii (P-I) hysteresis model identified using particle swarm optimization (PSO) technique. Based on the identified P-I model, both the inverse P-I hysteresis model and feedforward controller can be determined. Experimental results obtained using the inverse P-I feedforward control are compared with its counterpart using hysteresis estimate and the identified Bouc-Wen model. Effectiveness of the proposed feedforward control scheme is demonstrated. To further improve control performance feedback compensation using traditional PID scheme is adopted to integrate with the feedforward controller.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129680387","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":"A study on optimum design and dynamic behavior of a hydrostatic guideway on rotary machine tool","authors":"J. Shie, M. Shih","doi":"10.1109/CACS.2013.6734123","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734123","url":null,"abstract":"Because of the oil chamber of the traditional hydrostatic guideway only has one oil outlet, which is easy to concentrate the pressure of the oil chamber at the outlet, leading to non-uniform pressure distribution. Hence, the objective of this study is to design a uniform pressure distribution of hydrostatic guideway. In the design process, the configuration results of the guideway obtained by the analysis of pressure distribution for single chamber and chamber combination. The optimum parameters of each chamber have been determined by using HTGA/Gray approach. This approach will be more robust, stability, and quickly convergent than Taguchi and GA approaches. Furthermore, this study discusses dynamic behavior of the designed guideway and the referenced guideway under external load. Finally, the optimization results clearly indicate that the optimized guideway has better performance than the referenced guideway. And the experimental results are used to verify the feasibility and the practicality of this study.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128696266","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":"Development of an automatic inspection system for the LAF sensor","authors":"Hsin-Chien Huang, Hsing-Hsin Huang, Chun-Chi Li","doi":"10.1109/CACS.2013.6734189","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734189","url":null,"abstract":"Nowadays the amount of automobiles and motorcycles is fast expanding, which results in the increment of emission and fuel consumption. To deal with these problems, it always installs oxygen sensor at the outlet of engine. Oxygen sensor can detect the content of exhaust gas, and transmits the information to ECU to control the fuel injection so that fuel consumption as well as air pollution can be reduced. With the increasing price of gasoline, usage of the Lean Air-Fuel (LAF) engine is greatly increased, which leads to the demand of the LAF sensor. The difference between LAF sensor with traditional oxygen sensor is that LAF sensor can be used to determine higher air-fuel ratio. Therefore, it is applicable for LAF engine. The cooperative company of this research has developed the prototype of LAF sensor. In order to increase production and to ensure quality, they need an automated inspection system to replace their manual inspection operations. The research firstly studied the function of the sensor and the manual inspection process in the company. Next, we improved the process and designed the automatic mechanisms. The main result was the development of an automatic inspection system which can automatically test the sensor and classify its quality.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769324","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":"Feedback control based sampled-data ILC for repetitive position tracking control of DC motors","authors":"Chiang-Ju Chien, Kuo-Yung Ma","doi":"10.1109/CACS.2013.6734164","DOIUrl":"https://doi.org/10.1109/CACS.2013.6734164","url":null,"abstract":"This paper presents the design and application of a feedback control based sampled-data iterative learning control for systems with initial resetting error, input disturbance and output measurement noise. The feedback controller introduced in the feedforward iterative learning system is to enhance the convergent rate of output error. Theoretical analysis of stability and convergence is rigorously studied. It is shown that the tracking error will converge to a residual set if the feedforward learning gain satisfies a sufficient condition and the sampling period is small enough. Since the learning controller is designed in a sampled-data formulation, it is realized by a digital circuit in an FPGA chip and applied to a repetitive position tracking control of DC motors to demonstrate its feasibility. The experiment results show that the learning performance is improved if the sampled-data iterative learning controller is designed based on a suitable feedback controller (PD controller).","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116689488","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}