检索结果-内蒙古大学图书馆

Parameter identification of a linear permanent magnet motor using particle swarm optimization

Parameter identification of a linear permanent magnet motor ...

7th Annual International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Therdbankerd, Tithiwat Sanposh, Peerayot Chayopitak, Nattapon Fujita, Hideaki Department of Electrical Engineering Intelligent Mechatronics Automation Robotics and Control Laboratory Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-18 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Stylized motion generalization through adaptation of velocity profiles

Stylized motion generalization through adaptation of velocit...

引用

19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010

作者： Gielniak, Michael J. Liu, C. Karen Thomaz, Andrea L. Department of Electrical and Computer Engineering Georgia Institute of Technology 777 Atlantic Dr. NW Atlanta GA 30332 United States School of Interactive Computing Georgia Institute of Technology 85 5th St. NE Atlanta GA 30308 United States Robotics and Intelligent Machines Center Georgia Institute of Technology 801 Atlantic Dr. NW Atlanta GA 30332 United States

ISBN: (纸本)9781424479917

Stylized motion is prevalent in the field of Human- Robot Interaction (HRI). Robot designers typically hand craft or work with professional animators to design behaviors for a robot that will be communicative or life-like when interacting with a human partner. A challenge is to apply this stylized trajectory in varied contexts (e.g. performing a stylized gesture with different end-effector constraints). The goal of this research is to create useful, task-based motion with variance that spans the reachable space of the robot and satisfies constraints, while preserving the "style" of the original motion. We claim the appropriate representation for adapting and generalizing a trajectory is not in Cartesian or joint angle space, but rather in joint velocity space, which allows for unspecified initial conditions to be supplied by interaction with the dynamic environment. The benefit of this representation is that a single trajectory can be extended to accomplish similar tasks in the world given constraints in the environment. We present quantitative data using a continuity metric to prove that, given a stylized initial trajectory, we can create smoother generalized motion than with traditional techniques such as cyclic-coordinate descent. © 2010 IEEE.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

Parameter identification of a Linear Permanent Magnet motor using Particle Swarm Optimization

Parameter identification of a Linear Permanent Magnet motor ...

引用

International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Tithiwat Therdbankerd Peerayot Sanposh Nattapon Chayopitak Hideaki Fujita Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

关键词： Parameter estimation Permanent magnet motors Particle swarm optimization Synchronous motors Signal processing robotics and automation Chirp Intelligent robots Control systems Laboratories

来源：评论

学校读者我要写书评

暂无评论

Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

引用

7th Annual International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Suteeratanapirom, Wijin Rattanawaorahirankul, Rapeepong Laosapan, Chutima Sanposh, Peerayot Chayopitak, Nattapon Tungpimolrut, Kanokvate Kunieda, Hiroaki TAIST Tokyo Tech ICTES Program Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-65 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward Controller (FFC-PFC) are presented.

关键词： Friction

来源：评论

学校读者我要写书评

暂无评论

Sensitivity function of LTI fractional order dynamic systems with respect to the orders

Sensitivity function of LTI fractional order dynamic systems...

引用

American Control Conference (ACC)

作者： Yan Li Dingyü Dingyü Xue YangQuan Chen Center of Self-Organizing & Intelligent Systems CSOIS Electrical an Computer Engineering Department Utah State University Logan UT USA School of Control Science and Engineering Shandong University Jinan Shandong China Institute of Robotics and Artificial Intelligent School of Information Science and Engineering Northeastern University Shenyang China

Many real natural or man-made dynamic systems can be better characterized using a fractional order dynamic model. Since in such a case the order assumes a non-integer value, it is of interest to consider the effect of small perturbation around the nominal value. It is of practical importance to analyze the influence of the order variations on the system behavior. This paper establishes an analytical method for the analysis of the sensitivity function of LTI fractional order dynamic systems with respect to the orders. The continuous dependent condition of the orders of fractional Green's function is derived, which is proved as a necessary and sufficient condition. The singularity of fractional Green's functions is discussed. Several examples are included for illustration.

关键词： Green's function methods Lyapunov method Intelligent robots Sufficient conditions Artificial intelligence Transfer functions Fractional calculus Integral equations Partial differential equations H infinity control

来源：评论

学校读者我要写书评

暂无评论

Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

引用

International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Wijin Suteeratanapirom Rapeepong Rattanawaorahirankul Chutima Laosapan Peerayot Sanposh Nattapon Chayopitak Kanokvate Tungpimolrut Hiroaki Kunieda TAIST Tokyo Technology China Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

关键词： Friction computer numerical control Metalworking machines Servomotors Three-term control Fasteners Rails Servomechanisms Torque control Error correction

来源：评论

学校读者我要写书评

暂无评论

A learning-based autonomous driver: Emulate human driver's intelligence in low-speed car following

引用

Proceedings of SPIE - The International Society for Optical engineering 2010年 7693卷

作者： Wei, Junqing Dolan, John M. Litkouhi, Bakhtiar Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States Robotics Institute Carnegie Mellon University Pittsburgh PA 15213 United States GM-CMU Autonomous Driving Collaborative Research Lab. GM R and D Center Warren MI 48090 United States

ISBN: (纸本)9780819481573

In this paper, an offline learning mechanism based on the genetic algorithm is proposed for autonomous vehicles to emulate human driver behaviors. The autonomous driving ability is implemented based on a Prediction- and Cost function-Based algorithm (PCB). PCB is designed to emulate a human driver's decision process, which is modeled as traffic scenario prediction and evaluation. This paper focuses on using a learning algorithm to optimize PCB with very limited training data, so that PCB can have the ability to predict and evaluate traffic scenarios similarly to human drivers. 80 seconds of human driving data was collected in low-speed (

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Rotary nanomotors based on head-to-head nanotube shuttles

Rotary nanomotors based on head-to-head nanotube shuttles

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： M. Hamdi A. Subramanian L. X. Dong A. Ferreira B. J. Nelson ENSI Bourges Institut PRISME Bourges France Center for Integrated Nanotechnologies Sandia National Laboratories Albuquerque NM USA Institute of Robotics and Intelligent Systems ETH Zurich Zurich Switzerland Department of Electrical & Computer Engineering Michigan State University East Lansing MI USA

A novel rotary nanomotor is described using two axially aligned, opposing chirality nanotube shuttles. Based on inter-shell screw-like motion of nanotubes, rotary motion is generated by electrostatically pulling the two cores together. Simulations using molecular dynamics show the generation of rotation from armchair nanotube pairs and their actuation properties. The simulation results, together with recently reported progress in realizing batch-fabricated ultra-high density nanotube shuttles, point towards the use of these motors as building blocks in nanoelectromechanical systems (NEMS) and nanorobotic systems for sensing, actuation, and computation applications.

关键词： Nanoelectromechanical systems Carbon nanotubes Micromotors Computational modeling Intelligent robots Nanostructured materials Nanostructures Nanoscale devices Rotors Voltage

来源：评论

学校读者我要写书评

暂无评论

A Passivity based Stability Analysis of Disturbance Observer based Trajectory Tracking Control of Nonholonomic Wheeled Mobile Robot

A Passivity based Stability Analysis of Disturbance Observer...

引用

2010 IEEE/ASME international conference on advanced intelligent mechatronics (aiM 2010)

作者： Mohammad Noorbad Alireza Mohammad Shahri Khoshnam Shojaei Behzad Tabibian Electrical Engineering Department Mechatronics and Robotics Research Laboratory Electronic Research Center Iran University of Science and Technology Tehran Iran Computer Engineering Department Iran University of Science and Technology Tehran Iran

This paper proposes a disturbance observer (DOB) algorithm to solve the trajectory tracking problem of a nonholonomic WMR in presence of external disturbances. To obtain a high performance trajectory tracking controller, a computed torque controller (CTC) is integrated into a kinematic controller by back-stepping technique. The disturbance observer as a part of the proposed controller estimates the external disturbances and cancel-out them. By decoupling the estimation errors from disturbances and its passivity property, it is demonstrated that the overall closed-loop system is asymptotically stable. Simulation results show that the performance of the CTC is significantly improved and the DOB achieves good ability of disturbance attenuation.

关键词： Computed Torque Control Disturbance Observer Nonholonomic WMR Weakly Strictly Passive

来源：评论

学校读者我要写书评

暂无评论

A two-stage neural network classifier for condition-based maintenance in wireless sensor networks

引用

International Journal of COMADEM 2010年第2期13卷 17-26页

作者： Ramani, A. McMurrough, C. Middleton, M. Ballal, P. Athamneh, A. Lee, W. Kwan, C. Lewis, F. Automation and Robotics Research Institute University of Texas at Arlington 7300 Jack Newell Blvd. S Fort Worth TX 76118-7115 United States Energy Systems Research Center University of Texas at Arlington 416 S. College St Arlington TX 76019-0048 United States Signal Processing Inc. 13619 Valley Oak Circle Rockville MD 20850-3572 United States Computer Science Engineering University of Texas at Arlington United States Electrical Engineering Department United States

Motor failures in aerospace applications can lead to serious compromises in safety, overall effectiveness, and maintenance costs. In mission critical applications, it is important that motor fault signatures are identified before a failure occurs. It is known that 40% of mechanical failures occur due to bearing faults. Bearing faults can be identified from the motor vibration signatures. Three key contributions are outlined in this paper. First, we develop a low cost test bed for simulating bearing faults in a motor. Second, we develop a wireless sensor module for collection of vibration data from the test bed. Finally, we use a novel two stage neural network to classify various bearing faults using the Generalized Hebbian Algorithm (GHA) in the first stage and a supervised learning vector quantization network (SLVQ) with a self organizing map approach for fault classification in the second stage. © 2010 COMADEM International.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：