CDC2000 Motor Control

Motor Control
Home Full List of Titles 1: Proceedings of CDC2000 Discrete Event Systems Control in Communication Systems Optimal Control and Applications I Optimisation Approaches and Methods Model Predictive Control Advances in Linear Estimation Stochastic and Uncertain Systems Nonlinear Control and Applications Nonlinear Estimation and Filtering Formation Control and its Applications New Approaches to Fuzzy Control Manufacturing Systems Automotive Applications Stability Issues in Hybrid Control Recent Advances in Stochastic Networks Optimal Control and Applications II Robust Controller Design - mu, L1 and H2 Constrained and Receding Horizon Control Identification and Control around the World Markov Decision Processes Nonlinear Optimisation Observers for Nonlinear Systems Motion Planning Neural / Fuzzy Stability and Control Motor Control Control of Quantum Phenomena I Hybrid Systems Methods Control in Communication Networks Robustness and Optimisation Bumpless Transfer, Antiwindup and Saturation Adaptive Control: Linear Systems Estimation and Closed Loop Identification Control of Markov Processes Nonlinear Filtering and Control Modelling, Identification and Validation of Nonlinear Systems Differential Geometric Control Theory for Mechanical Systems Nonlinear Output Feedback Control Pneumatics and Compression Systems Control of Quantum Phenomena II Stability of Hybrid Systems Performance Analysis in Communication Networks Adaptive Control of Nonlinear Systems LMI Methods in Design Robust Control of Time Delay Systems Subspace Identification Methods Nonlinear Stochastic Filtering and Estimation Bifurcations, Chaos and Control I New Progress in Synthesis of Nonlinear Systems I Implementation Issues of Sliding Mode Control Theory Control of Mixing in Shear Flows Novel Neural Network Control Techniques for Industrial Motion Control Systems Physiological Control Systems Optimal Control of Hybrid Systems Stochastic Models for Communication Networks Control and Stabilisation of Nonlinear Systems New Directions in Robust Control Linear Systems Theory Advanced Topics in Systems Theory Estimation in Action Bifurcations, Chaos and Control II New Progress in Synthesis of Nonlinear Systems II Numerical Design and Analysis Techniques for Nonlinear Systems Analysis and Control of Underactuated Systems Sliding Mode Control I Challenges in the Application of Control to Computer Systems Estimation and Diagnosis of Discrete Event Systems Communications and Games Optimal Control Stochastic Systems Model Reduction Methodologies Identification and Subspace Methods Applications of Nonlinear Adaptive Control Advances in Nonlinear Output Feedback Design The Behavioural Approach to Systems and Control Vision Based Estimation and Control: Recent Advances and Open Problems Agile Control of Military Operations Sliding Mode Control II Model-based Fault Diagnosis of Industrial Processes Discrete Event Systems / Petri Nets System Identification and Confidence Estimation New Approaches to H-Infinity Control I Probabilistic Approaches to Robust Control Time Delay System Stabilisation Identification Methods Controlled Stochastic Processes Output Feedback of Nonlinear Systems Topics in Nonlinear Stabilisation Mobile Robots: Tracking Control Robust Control of Nonlinear Systems Power Systems Stabilisation and Control Disk Drive Control Hybrid Control Applications Discrete Time Systems New Approaches to H-Infinity Control II Linear Systems with Saturating Actuators New Theories in Distributed Parameter Systems Applications of Estimation and Identification Stochastic Control and Tuning Methodologies Control of Nonlinear Systems Iterative Learning and Control Coordinating Robot Systems Nonlinear Time Varying Systems Novel Applications of Neural Networks Aerospace Applications Switched Systems Implicit and Descriptor Systems LQG Periodic Systems and Disturbances New Horizons for Distributed Parameter Systems State Estimation Learning and Neuro-Control Nonlinear Control and Stabilisation I Tracking Vision Servoing Controllability of Nonlinear Systems Control of Flexible Systems Electro-Mechanical Systems Robust Control Methods and Applications Fault Detection and Diagnosis Optimisation and Applications Robust Stability Analysis Numerical Methods in Control Filtering in Continuous Time Stochastic Systems Interplay between Control and Signal Processing Fault Detection and Analysis Nonlinear Dynamical Systems Nonlinear Time Delay Systems Computational Issues in Nonlinear Control Disturbance Rejection Process Control Industry Applications Linear Parameter Varying Systems Linear Control Systems Dynamic and Nonlinear Programming Model Reduction Applications New Techniques for Control and Systems: Numerical Linear Algebra Estimation and Identification using Hidden Markov Models Applications of Stochastic Control Topics in Linear Design Nonlinear Control and Stabilisation II Ambulatory Robot Systems Chaotic and Oscillatory Systems Biomedical System Control Integrated Control and CPU Scheduling Linear Design Techniques Adaptive Disturbance / Noise Compensation Nonlinear Model Predictive Control Sensitivity Design, Analysis and Limitations Analysis of Linear Systems Linear Matrix Inequalities in Design Lyapunov's 2nd Method Robotics: Tracking Control Lagrangian and Hamiltonian Theory Variable Structure Control Machine Vision Signal Processing Methods in Control Applied Nonlinear Control Author Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z	Remote Laboratories for Control Education Authors: Henry H. Hahn, Mark W. Spong, Volume: 1, Page 895 Paper number 1514 Abstract: This paper describes progress in the development of an integrated network of internet based control laboratories at the University of Illinois at Urbana-Champaign. A key feature of our project is the use of real experiments in addition to simulation and animation. Our first set of experiments includes a DC-motor, an inverted pendulum, an inertia wheel pendulum, and a two-link, direct drive robot arm. These experiments were first tested online in the summer of 2000 and we are class testing them in the fall of 2000 and spring of 2001. CD001514.PDF (From Author) TOP Input Design For Optimal Discrete Time Point-To-Point Motion Of An Industrial XY-Positioning Table Authors: Branko G. Dijkstra, Niad J. Rambaratsingh, Carsten W. Scherer, Okko H. Bosgra, Maarten Steinbuch, Sander Kerssemakers, Volume: 1, Page 901 Paper number 1268 Abstract: In this paper a new technique is presented to design input signals for point-to-point control problems with the property of minimal excitation of parasitic system oscillations. This technique is compared to impulse based input design techniques in experiments performed on an industrial XY-positioning table. Impulse Input Shaping was formulated as a solution to an optimisation problem, which has been transformed for the case of point-to-point problems, resulting in a more time-optimal solution. The results from this new optimisation are very impressive considering the simplicity. CD001268.PDF (From Author) TOP A Note on the Nonlinear H-Infinity Control for Synchronous Motors Authors: Stefano Di Gennaro, Volume: 1, Page 907 Paper number 2188 Abstract: This work deals with the nonlinear H-infinity control of a permanent magnet synchronous motor subject to parameter variations during its operation. The control aim is to track a desired angular trajectory. First, a controller based on the nominal parameter values is determined, while the parameter variations are considered disturbances acting on the nominal plant. Second, a nonlinear H-infinity controller is designed in order to satisfy the sub-optimal attenuation problem in the case of availability of the whole state vector. This second step entails the approximated resolution of a (nonlinear) Hamilton-Jacobi-Isaacs equation. The resulting controller is tested in numerical simulations and its performance is compared with that of a linear H-infinity controller. CD002188.PDF (From Author) TOP Micro-Positioning Of Linear Piezoelectric Motors Based On A Learning Nonlinear PID Controller Authors: Huixing Zhou, Kok Kiong Tan, Tong-Heng Lee, Volume: 1, Page 913 Paper number 1018 Abstract: In this paper, a learning nonlinear PID controller is developed for vaguely modeled nonlinear systems under significant disturbance and noise. The control scheme is generic in nature, but it is applied specifically to micro positioning of linear piezoelectric motors in this paper. Mathematical models for the piezoelectric motor and the associated friction phenomenon are provided and verified in the simulation and experimental results provided. These results also highlight the good motion control performance achieved from the control scheme. CD001018.PDF (From Author) TOP Robustness Of Global Asymptotic Stability In Indirect Field Oriented Control Of Induction Motors Authors: Romeu Reginatto, Alexandre S. Bazanella, Volume: 1, Page 919 Paper number 1895 Abstract: The influence of the rotor time constant mismatch on the stability of induction motors under field oriented control is analyzed. A global stability criterion based on the solution of an LMI/LME problem is given. CD001895.PDF (From Author) TOP Speed Tracking Control with Maximal Power Transfer of Induction Motor Authors: Hou-Tsan Lee, Li-Chen Fu, Hsin-Shen Huang, Volume: 1, Page 925 Paper number 2192 Abstract: This paper proposes a speed tracking control of induction motors based on the input/output linearization method, which can also achieve the maximal power transfer. A simple group of observers are designed to estimate the rotor flux in order to determine the orientation of rotor flux. The control law of the maximal power transfer to the rotor gives the relationship between the stator voltage and the orientation of rotor flux in d-q frame. The speed tracking controller is also robust with respect to the variation of rotor resistance and load torque. Simulation results are given to show the effectiveness of the presented controller. Experimental results are also given to validate the performances. CD002192.PDF (Scanned) TOP Robust Control for Linear Induction Motor Servo Drive Using Neural Network Uncertainty Observer Authors: Faa-Jeng Lin, Rong-Jong Wai, Chin-Chung Lee, Shu-Peng Hsu, Volume: 1, Page 931 Paper number 111 Abstract: A robust controller, which combines the merits of integral-proportional (IP) position control and neural network (NN) control, is designed for a linear induction motor (LIM) servo drive in this study. First, the secondary flux of the LIM is estimated using a sliding-mode flux observer on the stationary reference frame and the feedback linearization theory is used to decouple the thrust force and the flux amplitude of the LIM. Then, the IP position controller is designed according to the estimated mover parameters to match the time-domain command tracking specifications. Moreover, a robust controller is formulated using the NN uncertainty observer, which is implemented to estimate the lumped uncertainty of the controlled plant, as an inner-loop force controller to increase the robustness of the LIM servo drive system. Furthermore, in the derivation of the on-line training algorithm of the NN, an error function is used in the Lyapunov function to avoid the real-time identification of the sys CD000111.PDF (Scanned) TOP