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Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

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

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 Computer numerical control Metalworking machines Servomotors Three-term control Fasteners Rails Servomechanisms Torque control Error correction

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Comparison of neuro-fuzzy approaches with artificial neural networks for the detection of Ischemia in ECG signals

Comparison of neuro-fuzzy approaches with artificial neural ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Hoda Tonekabonipour Ali Emam Mohamad Teshnelab Mehdi Aliyari Shoorehdeli Mechatronics Department Qazvin Islamic Azad University Qazvin Iran Electrical Engineering K.N. Toosi University of Technology Tehran Iran Electrical Engineering Advanced Process Automation and Control (APAC) K.N. Toosi University of Technology Tehran Iran

This paper compares different classification methods of ECG signals including their accuracies. First of all , Preprocessing for ECG signal is necessary in order to detect QRS complex. Then, with the intention of extract influential features in Ischemia disease, baseline wandering and noise suppression is done. Following to above mentioned target, two neuro-fuzzy classification algorithms incorporated with two artificial neural networks classifiers selected. They put under test to investigate their ability to recognize Ischemic Heart Disease (IHD) from ECG signals. Adaptive Neuro Fuzzy Inference System (ANFIS) and Locally Linear Model Tree (LOLIMOT), are two neuro-fuzzy networks used in the test. They have good capability of learning. Also Multi layer Perceptron (MLP) and Probabilistic Neural Networks (PNN) used as well in test. These are four structures totally used in this paper. The ECG sampled signals are taken from MIT-BIH database. They are used to train neural networks enabling them to classify Ischemia. All neuro-structures have been tested by using experimental ECG records of individuals. The results suggest that neuro-fuzzy classifiers perform better than the other types of classifiers.

关键词： Electrocardiography

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Expansion-based depth map estimation for multi-view stereo

Expansion-based depth map estimation for multi-view stereo

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2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Peng Song Xiaojun Wu Michael Yu Wang Jianhuang Wu Postgraduate of Shenzhen Graduate School Harbin Institute of Technology China Division of Control and Mechatronics Engineering Shenzhen Graduate School Harbin Institute of Technology China Mechanical and Automation Engineering Department Chinese University of Hong Kong New Territories Hong Kong China Shenzhen Institutes of Advanced Technology Chinese Academy and Sciences China

This paper presents an algorithm for acquiring high-quality models from multiple calibrated photographs by computing and merging depth maps. The algorithm first computes depth maps from multi-view stereo using a proposed expansion-based approach that returns a 3D point cloud with noisy and redundant information. Then the estimated depth maps are merged into an accurate surface model by a cleaning, downsampling, surface normal estimation and Poisson surface reconstruction process. The proposed approach has been implemented and the experimental results with several real datasets demonstrate that the approach can produce accurate surface models efficiently.

关键词： Clouds Surface reconstruction Image reconstruction Three dimensional displays Pixel Estimation Octrees

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control channel identification method and experimental research on FXLMS vibration control

Control channel identification method and experimental resea...

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2009 International Conference on Computational Intelligence and Software engineering, CiSE 2009

作者： Gao, Zhiyuan Qin, Tinggao Huang, Quanzhen Zhu, Xiaojin School of Mechatronics Engineering and Automation Shanghai University Shanghai China Measuring and Control Engineering Group Department of Automation Engineering Shanghai University Shanghai China

ISBN: (纸本)9781424445073

control channel model parameters of adaptive filter feedforward control for piezoelectric smart flexible structures should be predicted, as not only they are the key factors of system stability and control effect but also they have immediate impacts on system convergence and the validity of control strategy. This paper takes the piezoelectric flexible structure as research object. According to least mean square (LMS) algorithm, control channel identification method and its implementation, applied in the MIMO adaptive filter feedforward vibration control, is deduced in detail. Parameter identification, based on which adaptive control for vibration suppression is developed, is performed for the controlled structure, a smart cantilever plate with piezoelectric patches. Experiment results demonstrate the correctness and availability of the control channel identification method and its implementation technique. ©2009 IEEE.

关键词： Adaptive filters

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Evolution of Two Non-identical Two-Level Atoms in Two-Mode Cavity Fields

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Communications in Theoretical Physics 2009年第2期51卷 215-220页

作者： ZHANG Ming WANG Wen-Gang DAI Hong-Yi XI Zai-Rong College of Mechatronics Engineering and Automation National University of Defense Technology Changsha 410073China College of Science National University of Defense Technology Changsha 410073 China Key Laboratory of Systems and Control Chinese Academy of Sciences Beijing 100080 China

In this paper, we investigate the evolution of two non-identical two-level atoms in two-mode cavity fields. We demonstrate the death and rebirth effect of entanglement for two non-identical two-level atoms under some initial conditions. It is also exemplified that entangled states of two nonidentical two-level atoms can be generated by entangled two-mode cavity fields. This research can be considered as a first step to further investigate the problem of manipulating two nonidentical two-level atoms in two-mode cavity fields.

关键词： entanglement dynamics atorn-cavity fields

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Optical orbital angular momentum for optical communication and its measurements

Optical orbital angular momentum for optical communication a...

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International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging

作者： Ke, Xi-Zheng Lv, Hong Wu, Jing-Zhi Hu, Shu-Qiao Faculty of Automation and Information Engineering Xi'An University of Technology Xi'an Shaanxi 710048 China National Key Laboratory for Electronic Measurement Technology Taiyuan Shanxi 030051 China National Key Laboratory for Mechatronics Engineering and Control Xi'an Shaanxi 710065 China

ISBN: (纸本)9780819476630

The beam with orbital angular momentum is a present domestic and foreign research key direction. Its application and development will bring the profound influence in the optical communications field. At the same time, light's orbital angular momentum promises potential applications in both classical and quantum optical communication. The research progress of the beam with orbital angular momentum and encoding information as light's OAM for free-space optical communication were reviewed in this article, the existing design method, mechanism and description methods of encoding information as light's OAM were discussed. In quantum communication, qudits can be encoded in photons using their OAM for creating high-dimensional entanglement based on entangled photon pairs from SPDC. In this paper, light's OAM is used as information carrier for classical and quantum communication, which is promising to ensures the security of atmospheric laser communication, improves the density and precision of information transmission. It is apparent that an efficient way to measure the orbital angular momentum of individual photons and light beams with good efficiency would be of potentially great importance for optical communications and quantum information. In view of the above, the measurements of orbital angular momentum of individual photons and light beams are analyzed and discussed in detail. © 2009 SPIE.

关键词： Light

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Design and analysis of a dSPACE-based position control system for a linear switched reluctance motor

Design and analysis of a dSPACE-based position control syste...

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International Conference on Power Electronics Systems and Applications (ICPESA)

作者： Guang-zhong Cao Lv-ming Lin Hong Qiu J.F. Pan Department of Automation Science College of Mechatronics and Control Engineering Shenzhen University Shenzhen China

This paper presents a high-precision position control system for a linear switched reluctance motor (LSRM) based on dSPACE real-time control platform. The LSRM has a very simple structure and it can be manufactured easily, and there is no need for magnets. The control system utilizes dSPACE development platform as the controller and generates the real-time code for the control algorithm and motor model, tuning the control parameters online and PD algorithm is implemented. The experiment results indicate that with the control method presented in the paper, the position error is less than 0.04 mm. Also compared with traditional research and development method, using dSPACE real-time control platform is able to quickly complete research and development for this kind of position control system, and the advantages are not only to shorten the entire system development cycle but also ensure system reliability and reduce costs.

关键词： Position control Reluctance motors Real time systems control systems Research and development Manufacturing Magnets control system synthesis Error correction Reliability

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Mechatronic design of a fast and long range 4 degrees of freedom humanoid neck

Mechatronic design of a fast and long range 4 degrees of fre...

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IEEE International Conference on Robotics and automation (ICRA)

作者： D.M. Brouwer J. Bennik J. Leideman H.M.J.R. Soemers S. Stramigioli Mechanical Automation and Mechatronics group DEMCON advanced mechatronics University of Twente Netherlands Philips Consumer Lifestyle Netherlands DEMCON advanced mechatronics Oldenzaal Netherlands Mechanical Automation and Mechatronics group Philips Applied Technologies DEMCON advanced mechatronics University of Twente Netherlands Control Engineering group University of Twente Netherlands

This paper describes the mechatronic design of a humanoid neck. To research human machine interaction, the head and neck combination should be able to approach the human behavior as much as possible. We present a novel humanoid neck concept that is both fast, and has a long range of motion in 4 degrees of freedom (DOFs). This enables the head to track fast objects, and the neck design is suitable for mimicking expressions. The humanoid neck features a differential drive design for the lower 2 DOFs resulting in a low moving mass and the ability to use strong actuators. The performance of the neck has been optimized by minimizing backlash in the mechanisms, and by using gravity compensation. Two cameras in the head are used for scanning and interaction with the environment.

关键词： mechatronics Neck Magnetic heads Humans Cameras Spine Acceleration Robotics and automation Actuators Gravity

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Comparison of Fuzzy control Rules Using MATLAB Toolbox and Simulink for DC Induction Motor-Speed control

Comparison of Fuzzy Control Rules Using MATLAB Toolbox and S...

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International Conference of Soft Computing and Pattern Recognition (SOCPAR)

作者： Mohd Shahrieel Mohd Aras Syed Najib Bin Syed Salim Eric Chee Sai Hoo Intan Azmira binti Wan Abd Razak Mohd Hendra bin Hairi Department of Mechatronics Faculty of Electrical Engineering UTeM Malacca Malaysia Faculty of Electrical Engineering UTeM Malacca Malaysia Department of Power Faculty of Electrical Engineering UTeM Malacca Malaysia Department of Control & Automation Faculty of Electrical Engineering UTeM Malacca Malaysia

This paper presents a fuzzy logic control for a speed control of DC induction motor. The simulation developed by using Fuzzy MATLAB Toolbox and SIMULINK. The fuzzy logic controller is also introduced to the system for keeping the motor speed to be constant when the load varies. Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. The result of the 3×3 matrix fuzzy control rules and 5×5 matrix fuzzy control rules of the theta and speed will do comparison in this paper. Observation the effects of the fuzzy control rules on the performance of the DC-induction motor-speed control.

关键词： Fuzzy control MATLAB Shape Curve fitting Phase detection Image segmentation Iterative algorithms Pattern recognition Information science Data mining

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Identification, Prediction and Detection of the Process Fault in a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification, Prediction and Detection of the Process Faul...

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International Conference on Computer and Electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering Sharif University of Technology International Campus Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

In this paper, we use nonlinear system identification method to predict and detect process fault of a cement rotary kiln. After selecting proper inputs and output, an input-output model is identified for the plant. To identify the various operation points in the kiln, Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. Then, by using this method, we obtained 3 distinct models for the normal and faulty situations in the kiln. One of the models is for normal condition of the kiln with 15 minutes prediction horizon. The other two models are for the two faulty situations in the kiln with 7 minutes prediction horizon are presented. At the end, we detect these faults in validation data. The data collected from White Saveh Cement Company is used for in this study.

关键词： Fault diagnosis Fault detection Kilns Production facilities Electrical fault detection Fuzzy systems Delay estimation Nonlinear systems Predictive models automation

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