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A unified approach to fuzzy modelling and robust synchronization of different hyperchaotic systems

Chinese Physics B 2008年第11期17卷 4056-4066页

作者： Zhang, Hua-Guang Zhao, Yan Yu, Wen Yang, Dong-Sheng School of Information Science and Engineering Northeastern University Shenyang 110004 China Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 China Department of Automatic Control Engineering Shenyang Institute of Engineering Shenyang 110136 China Departamento de Control Automatico CINVESTAV-IPN Av. IPN 2508 México D. F. 07360 Mexico

In this paper, a Takagi-Sugeno (T-S) fuzzy model-based method is proposed to deal with the problem of synchronization of two identical or different hyperchaotic systems. The T-S fuzzy models with a small number of fuzzy IF-THEN rules are employed to represent many typical hyperchaotic systems exactly. The benefit of employing the T-S fuzzy models lies in mathematical simplicity of analysis. Based on the T-S fuzzy hyperchaotic models, two fuzzy controllers are designed via parallel distributed compensation (PDC) and exact linearization (EL) techniques to synchronize two identical hyperchaotic systems with uncertain parameters and two different hyperchaotic systems, respectively. The sufficient conditions for the robust synchronization of two identical hyperchaotic systems with uncertain parameters and the asymptotic synchronization of two different hyperchaotic systems are derived by applying the Lyapunov stability theory. This method is a universal one of synchronizing two identical or different hyperchaotic systems. Numerical examples are given to demonstrate the validity of the proposed fuzzy model and hyperchaotic synchronization scheme. © 2008 Chin. Phys. Soc. and IOP Publishing Ltd.

关键词： Synchronization

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'Cycle to cycle' optimizing control of simulated moving beds - Experimental implementation for a nonlinear chiral separation

'Cycle to cycle' optimizing control of simulated moving beds...

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2008 AIChE Annual Meeting, AIChE 100

作者： Grossmann, Cristian Langel, Christian Mazzotti, Marco Morari, Manfred Morbidelli, Massimo Automatic Control Laboratory ETH Zurich Zurich Switzerland Institute for Process Engineering ETH Zurich Zurich Switzerland Department of Chemistry and Applied Biosciences Institute for Chemical and Bioengineering ETH Zurich Wolfgang-Pauli-Str. 10 Zurich 8093 Switzerland

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Multi-rate optimizing control of simulated moving beds

Multi-rate optimizing control of simulated moving beds

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IEEE Conference on Decision and control

作者： Cristian Grossmann Christian Langel Marco Mazzotti Massimo Morbidelli Manfred Morari Automatic Control Laboratory ETH Zurich Zurich Switzerland Institute of Process Engineering ETH Zurich Zurich Switzerland Institute for Chem. and Bio-Engineering ETH Zurich Zurich Switzerland

ISBN: (纸本)9781424431236

This paper presents an optimizing control scheme for simulated moving beds (SMB) that allows multi-rate (MR) sampled measurements to be incorporated into the control and estimation problem in a clear and transparent manner. This is particularly relevant for chiral separations where online monitoring requires the combination of various analytical techniques that may operate on widely varying time scales. An MR periodic linear time-varying (PLTV) model is derived for the SMB process. The cyclic nature of the process is exploited by formulating the MR PLTV model within a repetitive model predictive control framework. Simulation results for a chiral separation are presented. The proposed multi-rate controller is able to deliver increased productivity while respecting the process and product specifications.

关键词： Economic forecasting Predictive models Productivity Solids Steady-state Chemical technology Uncertainty Pressure control Monitoring Predictive control

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Design approach of weighting matrices for LQR based on multi-objective evolution algorithm

Design approach of weighting matrices for LQR based on multi...

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International Conference on Information and Automation (ICIA)

作者： Yong Li Jianchang Liu Yu Wang Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang Liaoning China Department of Automatic Control Shenyang Institute of Aeronautical Engineering Shenyang Liaoning China

Aiming at the difficulty of designing weighting matrices for linear quadratic regulator (LQR), a multi-objective evolution algorithm (MOEA) based approach is proposed. The LQR weighting matrices, state feedback control rate and optimal controller are obtained by means of establishing the multi-objective optimization model of LQR weighting matrices and applying MOEA to it, which makes control system meet multiple performance indexes simultaneously. controller of double inverted pendulum system is designed using the proposed approach. Simulation results show that it has shorter adjusting time, smaller amplitude value deviating from steady-state than the pole assignment LQR weighting matrices design approach. So the validity of the proposed approach is confirmed.

关键词： Optimization Reactive power Performance analysis Genetic algorithms Mathematical model control systems Symmetric matrices

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Multi-Model Based Fault Detection and Diagnosis of a Hydraulic Servo Axis

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IFAC Proceedings Volumes 2008年第2期41卷 13117-13117页

作者： Marco Muenchhof Technische Universitaet Darmstadt Institute of Automatic Control Laboratory for Control Systems and Process Automation Darmstadt Germany (Tel: +49-6151-16-3114

This contribution describes the design and implementation of a multi-model based fault detection and diagnosis system for a hydraulic servo axis. Multiple models are operated in parallel to the plant - similar to a bank of observers. Beside one model mimicking the fault free process, there are additional models describing the process behavior in the presence of both actuator and process faults. For each model the squared error between the model output and the plant output is determined. The model which (over a period of time) shows the best match with the process is assumed to currently best describe the process behavior. The fault injected into the model with the best match is thus at the same time the diagnosis, i.e. the fault which is assumed to be present in the real system. This system has been tested exhaustively at a testbed. The result of the tests is shown in the accompanying video.

关键词： Hydraulic Actuators Fault Diagnosis Physical Models Video Demonstration

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Performance evaluation of Kalman filter for fault detection of hydraulic actuators

Performance evaluation of Kalman filter for fault detection ...

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作者： Muenchhof, Marco Isermann, Rolf Laboratory for Control Systems and Process Automation Institute of Automatic Control TU Darmstadt Germany

ISBN: (纸本)9783902661241

In this paper, an Extended Kalman-Bucy-Filter approach for fault detection and diagnosis of an hydraulic servo-axis is presented. The filter improves the results with the EKF as reported in literature since it uses a new model structure, considers nonlinear valve spool displacement-flow relationships and incorporates temperature effects. The performance of the newly proposed architecture is evaluated thoroughly at a testbed in the presence of both process faults and sensor faults. For sensor faults, the smallest reliably detectable sensor fault is determined. The method is finally compared to parity equations and parameter estimation, which have also successfully been applied to the supervision oif hydraulic servo axes. Copyright © 2007 IFAC.

关键词： Fault detection

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Identification methods for experimental nonlinear modeling of combustion engines

Identification methods for experimental nonlinear modeling o...

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作者： Schreiber, Alexander Isermann, Rolf Laboratory of Control Engineering and Process Automation Institute of Automatic Control Darmstadt University of Technology Landgraf-Georg-Str. 4 D-64283 Darmstadt Germany

ISBN: (纸本)9783902661265

The optimized control of combustion engines with regard to minimized fuel consumption and emissions requires nonlinear models. Because of an increase of control inputs, like fuel mass flow, injection angle, exhaust gas recirculation flow and several outputs like torque, nitrogen oxides (NOx), hydrocarbons (HC) and particulates the classical grid-based measurement techniques take too long time and do not include dynamics. Therefore different measurement strategies for the stationary and dynamic behavior are described, like Design of Experiments (DoE) and use of suitable neural networks and Pseudo-Random-Binary-Signals (PRBS). As the structure of the models is not precisely known a-priori, nonlinear identification methods in form of special versions of neural networks are good candidates. Therefore, it will be shown how with special amplitude-modulated pseudo random binary signals (APRBS), simultaneous excitation of several input signals, nonlinear multi-input multi-output models can be obtained in relatively short time. Copyright © 2006 IFAC.

关键词： Nitrogen oxides

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PERFORMANCE EVALUATION OF KALMAN FILTER FOR FAULT DETECTION OF HYDRAULIC ACTUATORS

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IFAC Proceedings Volumes 2007年第7期40卷 692-697页

作者： Marco Muenchhof Rolf Isermann Institute of Automatic Control Laboratory for Control Systems and Process Automation TU Darmstadt Germany

关键词： Hydraulic Actuator Fault Detection Extended Kalman-Bucy Filter Nonlinear Parameter Estimation

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RECONFIGURATION OF DISCRETELY controlLED HYBRID SYSTEMS FOR CHANGING SPECIFICATIONS

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IFAC Proceedings Volumes 2007年第6期40卷 115-120页

作者： Thanh Ha Tran Olaf Stursberg Sebastian Engell Process Control Laboratory (BCI-AST) University of Dortmund 44221 Dortmund Germany Institute of Automatic Control Engineering (EI-LSR) Technical University of Munich 80290 Munich Germany

This paper proposes a method for discrete controller reconfiguration of hybrid systems with uncertain linear dynamics to account for abrupt events such as the occurrence of actuator faults or changes in the product specifications. Starting from a hybrid plant model and a controller modeled as a finite state automaton, a new controller is obtained considering an updated specification or changes in the plant structure by switching among logic controllers determined offline. The automatic computation of the controllers is carried out using a controller synthesis approach, which employs the concept of model abstraction and refinement. The method is applied to a multi-tank example.

关键词： Reconfiguration Synthesis Hybrid Systems Automata Logic control

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Optimizing control of variable cycle time simulated moving beds 8th

Optimizing control of variable cycle time simulated moving b...

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8th IFAC Symposium on Dynamics and control of process Systems, 2007

作者： Grossmann, Cristian Amanullah, Mohammad Mazzotti, Marco Morbidelli, Massimo Morari, Manfred ETH Zurich Automatic Control Laboratory Physikstrasse 3 Zürich8092 Switzerland ETH Zurich Institute of Process Engineering Sonneggstrasse 3 Zürich8092 Switzerland ETH Zurich Institute for Chemical and Bio-Engineering Zürich8093 Switzerland

Simulated moving bed (SMB) is a cost-efficient chromatographic technique employed for difficult separation tasks. SMB processes exhibit complex dynamics, e.g., its hybrid nature due to the inlet/outlet port switches with nonlinearities and delays. The novel feature presented in this work is the extension of the 'cycle to cycle' control concept to make use as manipulated variables, of the four sectional flow rates and the switch time. Its effectiveness is demonstrated through two case studies;the startup of a SMB unit under plant-model mismatch and the rejection of a pump disturbance. © Copyright 2007 IFAC.

关键词： Disturbance rejection

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