Pneumatics and Compression Systems

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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

On The Dynamic Behavior Of A Hydraulic Cylinder

Authors:

Mohamed Haloua, Abderrahman Iggidr, Edouard Richard,

Volume: 1, Page 1321 Paper number 1028

Abstract:

In this paper we are interested in the stability properties of a hydraulic cylinder when no control is applied. We give a nonlinear model that take into account the leakages and show that the system is Lyapunov stable.

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Choice Of Control Law In Electropneumatics: Expertise Using An Industrial Benchmark And Some New Trends

Authors:

Xavier Brun, Daniel Thomasset,

Volume: 1, Page 1323 Paper number 9702

Abstract:

The aim of this paper is to propose help for choosing a control strategy to certain specifications. The system under study is an electropneumatic actuator. For this, different kinds of linear and nonlinear control laws have been developed and experimental results have been analysed and compared in accordance with appropriate benchmarking. Moreover some new trends are presented. They show the interest of a multi-input control law in terms of stability and energy consumption due to the flatness property.

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Nonlinear Control Experiments on an Axial Flow Compressor

Authors:

Dan Fontaine, Shengfang Liao, James Paduano, Petar V. Kokotović,

Volume: 1, Page 1329 Paper number 2129

Abstract:

A nonlinear control law is designed for a low order model of an axial flow compressor with a ring of bleed valves after the last compressor stage. The controller is implemented on a low speed, three stage experimental compressor. The region of attraction guaranteed by the control law is experimentally determined and is larger than that of the uncontrolled compressor.

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Nonlinear Robust Controller for Rotating Stall and Surge in Axial Flow Compressors

Authors:

Mazen Alamir,

Volume: 1, Page 1335 Paper number 1211

Abstract:

In this paper, a robust globally asymptotically stabilizing feedback law is proposed for the control of rotating stall and surge in axial flow compressors. This is done in two steps. First, a globally asymptotically stabilizing parameterized feedback is proposed. Then a numerical design procedure is developed to compute the feedback parameters in accordance with some pre-specified robustness criterions. Simulations are proposed to validate the proposed schemes.

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Modeling For Surge Control Of Centrifugal Compressors: Comparison With Experiment

Authors:

Jan Tommy Gravdahl, Frank Willems, Bram de Jager, Olav Egeland,

Volume: 1, Page 1341 Paper number 1619

Abstract:

A dynamic model based on the thermo- and fluid-mechanic processes taking place in a centrifugal compressor is validated. The background for this is the need for a energy based model including the rotational speed as a state in order to perform energy based active surge control. The response of the model is compared with experimental results from the Energy Technology Laboratory at Eindhoven University of Technology. Both the calculated compressor characteristic and transient responses for set point changes and in-surge response were compared to experiment with good results.

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Application of FIDF to the Detection of Unstable Behaviors in Compression Systems

Authors:

Yew-Wen Liang, Der-Cherng Liaw, Yung-Chun Wu,

Volume: 1, Page 1347 Paper number 2163

Abstract:

Issues concerning the detection of surge and rotating stall in a compression system are studied in this paper. It is observed that the plenum pressure rise and mass flow rate of a compression system exhibit abrupt change due to the appearance of surge or rotating stall, while those of it's linearized model do not. With this observation, a linear-based fault identification filter (FIDF) design technique is proposed to detect these two instabilities. This is achieved by treating the difference between the output of the compression system and that of its linearized model at an unstalled operating point as a fault vector and then investigating the effect of the fault on the designed FIDF. Simulation results for Moore and Greitzer's compression model [14] are given to demonstrate the effectiveness of the proposed scheme. The study may provide a means of detecting the occurrence of unstable phenomena at the onset so that a corrective action can be made.

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