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Emission Model Structures for an Implementation on Engine control Units

IFAC Proceedings Volumes 2011年第1期44卷 11851-11856页

作者： Heiko Sequenz Rolf Isermann Institute of Automatic Control Laboratory of Control Engineering and Process Automation Technical University Darmstadt Germany

Abstract The number of model-based approaches in modern engine control units (ECUs) increases permanently with the increase of engine complexity. Therefore the efficient storage and the fast computation of these models is a challenging task. Due to their fast computation properties most ECUs utilize 2-dimensional grid map structures. Higher dimensional relations need then to be mapped with nested structures of several 2-dimensional grid maps. The determination of suited structures is a time-consuming task and the number of utilized 2-dimensional grid maps may be large for higher dimensional relations. Therefore in the following a grid map structure, a LOLIMOT structure, a Kernel method and an adaptive polynomial approach are compared with respect to model accuracy, computation time and required memory. Conclusions about the implementation on state of the art ECUs are given. As model output the NO x emissions of a DTH Z19 Opel CR-Diesel engine with VGT-turbocharger and exhaust gas recirculation are regarded. Model structures are presented for a global model approach comprising the engine operation point as input, and for a global-local approach predicting the output by weighting local models.

关键词： Emission Models ECU Model Computing Time Model Memory Demand

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Predictive control of convex polyhedron LPV systems with Markov jumping parameters

Predictive control of convex polyhedron LPV systems with Mar...

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Chinese control and Decision Conference, CCDC

作者： Yanyan Yin Fei Liu Peng Shi Hamid Reza Karimi Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom Department of Engineering Faculty of Engineering and Science University of Agder N-4898 Grimstad Norway

The problem of receding horizon predictive control of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of linear parameter varying system, and then, by considering semi-definite programming constraints, weight coefficients between each vertex are calculated, and the equal coefficients matrices for the time variable system are obtained. Second, in the given receding horizon, for each mode sequence of the stochastic convex polyhedron linear parameter varying systems, the optimal control input sequences are designed in order to make the states into a terminal invariant set. Outside of the receding horizon, stability of the system is guaranteed by searching a state feedback control law. Finally, receding horizon predictive controller is designed in terms of linear matrix inequality for such system. Simulation example shows the validity of this method.

关键词： Markov processes Predictive control Equations Educational institutions Programming Symmetric matrices

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Gain-Scheduled H-infinity Observer Design for Nonlinear Stochastic Systems with Time-Delay and Actuator Saturation

Gain-Scheduled H-infinity Observer Design for Nonlinear Stoc...

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American control Conference

作者： Yanyan Yin Peng Shi Fei Liu Hamid Reza Karimi Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi Jiangsu 214122 P. R. China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom Department of Engineering Faculty of Engineering and Science University of Agder N-4898 Grimstad Norway

ISBN: (纸本)9781457710957

In this paper, we propose a method for designing continuous gain-scheduled robust H_∞ observer on a class of extended stochastic nonlinear systems subject to time delay and actuator saturation. Initially, gradient linearization procedure is applied to describe such extended nonlinear systems into several model-based linear systems. Next, a robust linear H_∞ observer is designed to such linear stochastic models. Subsequently, a convex hull set is investigated and sufficient condition is derived in terms of feedback observer to determine whether a given initial condition belongs to an ellipsoid invariant set. Finally, continuous gain-scheduled approach is employed to design continuous nonlinear observers on the entire extended nonlinear jump system. A simulation example is given to illustrate the effectiveness of developed techniques.

关键词： Nonlinear stochastic system time delay Observers actuators system clock INITIAL CONDITIONS Nonlinear systems

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Fault-tolerant control of an electro-hydraulic servo axes with a duplex-valve-system *

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IFAC Proceedings Volumes 2011年第1期44卷 9425-9433页

作者： Beck Mark Schwung Andreas Muenchhof Marco Isermann Rolf TU Darmstadt Institute of Automatic Control Laboratory for Control Systems and Process automation 64283 Darmstadt Germany TU Darmstadt Institute of Automatic Control Laboratory for Control Theory and Robotics 64283 Darmstadt Germany

Abstract This paper presents fault detection, fault diagnosis, the fault-tolerant control of an electro-hydraulic servo axes with a duplex-valve-system. The fault detection is based on parity equations and is load independent. The semi-physical models allow the detection of even small faults in the hydraulic system. The fault diagnosis used at the testbed is based on fuzzy-logic. In order to tolerate a faulty hydraulic proportional valve, a duplex-valve-system built up with standard proportional valves is applied. The fault management module allows the supervision of the hydraulic servo axes and decides on the reconfiguration of the control-loop. An Internal Model control (IMC)-tracking control structure for bumpless transfer between controllers is presented. Experimental results show the industrial applicability of the approach.

关键词： Fault Detection Fault Diagnosis Fault Tolerance Electro-hydraulic Servo Axes Duplex-valve-system Active Fault-Tolerant control Reconfiguration Bumpless-Transfer

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Dynamic output feedback H∞ control for uncertain neutral interconnected systems

Dynamic output feedback H∞ control for uncertain neutral in...

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2nd International Conference on Intelligent control and Information processing, ICICIP 2011

作者： Hu, Heli Zhao, Dan Wang, Xuehong Key Laboratory of Manufacturing Industrial and Integrated Automation Shenyang University Shenyang 110044 China Department of Fundamental Teaching Department of Automatic Control and Engineering Shenyang Institute of Engineering Shenyang 110136 China

ISBN: (纸本)9781457708145

This note is concerned with the H∞ decentralized control for a class of uncertain neutral interconnected systems via dynamic output feedback. In the frame of Lyapunov stability theory, in view of the nonlinearity on certain matrix variables, a mathematical technique is developed to obtain a criterion in terms of linear matrix inequalities for the existence of the anticipated controller. The parameterized characterization of the controller is achieved by solving some algebraic equations and LMIs. Besides, the norm of the transfer function from the disturbance input to the controlled output is less than the given index. A numerical example is included to illustrate effectiveness of the proposed method. © 2011 IEEE.

关键词： controllers

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Knowledge-based diagnosis of process systems using procedure HAZID information

Knowledge-based diagnosis of process systems using procedure...

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Lecture Notes in Computer Science

作者： Werner-Stark, Ágnes Németh, Erzsébet Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary School of Chemical Engineering University of Queensland Brisbane QLD Australia Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9783642238536

Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state operation. In order to extend this approach for transient operating conditions controlled by operating procedures, the notion of nominal input-output event sequences of qualitative signals has been introduced, and the deviations used in the procedure HAZID analysis have been defined therefrom. The diagnosis can then be performed algorithmically by matching the deviation sequences of the observed input-output event sequences and the nominal ones generated by qualitative dynamic models. The concepts and methods are illustrated using a simple case study consisting of a simple tank, controlled by an operating procedure. © 2011 Springer-Verlag.

关键词： Hazards

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Robust stabilization of uncertain large-scale interconnected systems with discrete and distributed time-delays

Robust stabilization of uncertain large-scale interconnected...

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International Conference on Intelligent control and Information processing

作者： Zhao, Dan Zhao, Yan Hu, Heli Wang, Xuehong Department of Fundamental Teaching Shenyang Institute of Engineering Shenyang 110136 China Department of Automatic Control and Engineering Shenyang Institute of Engineering Shenyang 110136 China Key Laboratory of Manufacturing Industrial and Integrated Automation Shenyang University Shenyang 110044 China

ISBN: (纸本)9781457708145

The decentralized stabilization problem for a class of uncertain large-scale interconnected systems with discrete and distributed time-delays is investigated. Based on Lyapunov stability theory, a novel Lyapunov-Krasovskii functional is constructed to reduce conservatism of the criterion in form of LMIs. To this end, some mathematical techniques are utilized flexibly. Especially, the exchange of the order of repeated integral is required. The decentralized control scheme is the general state feedback. Finally, a numerical example is given to demonstrate the validity of the results. © 2011 IEEE.

关键词： State feedback

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An on-board pan-tilt controller for ground target tracking systems

An on-board pan-tilt controller for ground target tracking s...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Zhekui Xin Yongchun Fang Bin Xian Beijing AeroSpace Automatic Control Institute China Institute of Robotics and Information Automatic System Nankai University Tianjin China Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin China

For a ground target tracking system using an unmanned helicopter, an on-board pan-tilt controller is proposed to adjust the attitude of the camera, so that to keep the target staying at the center of the image plane when the target is in sight. When the target is temporarily out of view due to various reasons, the designed controller will make the camera quickly re-capture the target by estimating its state and then regulating the orientation of the camera correspondingly. Specifically, a novel state transformation is firstly introduced to make the error system independent of the target image. Subsequently, a nonlinear pan-tilt controller is designed for the transformed error system. Lyapunov techniques are then employed to prove that the target tracking error in the image plane is driven to zero exponentially fast. To facilitate the implementation of the constructed controller, a visual estimator is also utilized to obtain the state information of the target even if it is occasionally out of the view of the camera by introducing an effective nonlinear filter. Simulation results are provided to validate the performance of the presented control system.

关键词： Target tracking Cameras Helicopters Jacobian matrices Visualization Robot vision systems

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Event-based NMPC for Networked control Systems over UDP-like Communication Channels

Event-based NMPC for Networked Control Systems over UDP-like...

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2011 American control Conference (ACC)

作者： Paolo Varutti Rolf Findeisen Laboratory for Systems Theory and Automatic Control Institute for Automation Engineering Otto-von-Guericke University of Magdeburg Magdeburg Germany

Networked controlled systems have recently received attention from the industry since they allow for flexibility and cost reduction. However, due to the fact that communication media can be subject to random delays, packet dropouts, jitters and other uncertainties, destabilization of the closed loop system can occur. Model predictive control has demonstrated to be a valid solution to cope with these issues. On the other hand, it typically relies on TCP-like (or connection oriented) protocols, i.e. either the received or the lost information is acknowledged. In this work, we propose an event-based model predictive control algorithm for nonlinear continuous time systems subject to state and input constraints which is based on UDP-like communication. We show that without the use of any acknowledgment or error message we can derive a compensation algorithm, which used in combination with the controller, under mild conditions, guarantees closed loop stability. The solution is applied to a continuous stirred tank reactor where an exothermic irreversible reaction takes place. The simulations show the effectiveness of the presented algorithm.

关键词： Loss measurement Delay Stability analysis Predictive models Asymptotic stability Prediction algorithms Closed loop systems

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PCA and neural networks-based soft sensing strategy with application in sodium aluminate solution

PCA and neural networks-based soft sensing strategy with app...

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作者： Wang, Wei Yu, Wen Zhao, Lijie Chai, Tianyou Laboratory of Integrated Automation of Process Industry Northeastern University Shenyang 110004 Liaoning Province China Departamento de Control Automatico CINVESTAV IPN Mexico DF Mexico Information Engineering School Shenyang Institute Of Chemical Technology Shenyang 110142 Liaoning Province China

Component concentration of sodium aluminate solution is an important quality index for alumina production. In this article, we propose a new on-line soft sensing strategy for measuring component concentration of sodium aluminate solution. With this method, on-line control can be realised in aluminate production plants. Several advance techniques are used, such as principal component analysis (PCA), neural modelling and the least square algorithm. Industry experiments are conducted in the alumina production process and the results show the effectiveness of this method. © 2011 Taylor & Francis.

关键词： Principal component analysis

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