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iee colloquium on System control Integration and Rapid Prototyping in the Automotive Industry (Digest No. 1997/388)

作者： R.E. Dorey A.D. Scarisbrick Advanced In-line and Diesel Engineering AIGDE group Ford Motor Company Limited USA

The paper investigates in detail certain aspects of the "System V" powertrain development stages: the use of an engine model to establish the robust performance of the candidate systems in the presence of real world uncertainties; and the use of a robust modern control technique as a candidate solution to the problem of idle speed control. Structured design and analysis techniques have an essential role in understanding complex powertrain systems. matlab design tools provide insight and the potential to improve system performance.

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The application of matlab to railway signalling system fault modelling

The application of Matlab to railway signalling system fault...

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iee colloquium on The Use of Systems Analysis and Modelling Tools: Experiences and Applications (Ref. No. 1998/413)

作者： P. Rouvray P. Hallam S. Danaher M.G. Thorpe University of Northumbria UK University of Central England UK Formerly London Underground Limited UK

The paper presents a review of matlab/Simulink-based techniques used in the development of fault models of signalling railway systems. The data used to develop the models was derived, both in normal and fault modes, from operational railway monitoring equipment using four data signals to characterise the electrical and mechanical behaviour of a points mechanism. The main objective of the work was to regenerate three of the data signals from a single monitored signal, thus reducing the number of sensors required to identify and predict a system failure. matlab/Simulink based static curve fitting and dynamic system identification techniques were applied to regenerate the data, and in each case the robustness and accuracy of the fault model are discussed. Finally, the signal regeneration is demonstrated using a Simulink model combining dynamic and linear models.

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Fuzzy logic based techniques for connection admission control in ATM networks

Fuzzy logic based techniques for connection admission contro...

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Proceedings of the 11th UK Teletraffic Symposium

作者： Ramalho, Maria Fernanda Scharf, Eric Queen Mary and Westfield Coll London United Kingdom

The decision whether to accept or refuse a new connection into an ATM network, while preserving the cell loss requirements of the existing sources and the new source, is the task of Connection Admission control (CAC). To make this decision, CAC must have some knowledge of the bandwidth requirements for the new source. The statistical behaviour of several sources of different types multiplexed on an ATM link is often difficult to predict;stochastic theory cannot be used to describe all the multiplexing effects and, where it can be applied, it may result in excessively long computation times. This paper describes an approach for CAC that uses fuzzy logic techniques and a method for learning the behaviour of the traffic in an ATM link. The learning process is performed by collecting, at specific times, examples of information on the current traffic pattern in the system. using fuzzy reasoning, the system will then infer, from the knowledge extracted from the examples, a value for the bandwidth required for the new source, when the source is operating within the current traffic pattern. An investigation is made of how the system deals with traffic generated by on-off sources, each of them with the same peak and mean: the results focus on the statistical multiplexing gain and cell loss. The results indicate that the statistical multiplexing gain increases for small mean to peak ratios (high burstiness).

关键词： Telecommunication traffic

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Integrated control system design for the automotive industry using modern robust control methods

Integrated control system design for the automotive industry...

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iee colloquium on System control Integration and Rapid Prototyping in the Automotive Industry (Digest No. 1997/388)

作者： D. Bates I. Postlethwaite Control Systems Research Engineering Dept University of Leicester UK

A trend towards the integration of systems in high-technology industry is noted. The authors describe integrated control systems based on modern robust control techniques. They have been applied sucessfully in the aerospace industry, and it is argued that they can readily be applied to the problem of integrated optimal control system design in the automotive industry. 2 approaches are considered, one centralised and one decentralised.

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Fuzzy modelling techniques applied to an air/fuel ratio control system

Fuzzy modelling techniques applied to an air/fuel ratio cont...

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iee colloquium on Industrial Automation and control: Applications in the Automotive Industry (Digest No. 1998/234)

作者： D.G. Copp K.J. Burnham F.P. Lockett Control Theory and Applications Centre CTAC Coventry University UK

Fuzzy modelling techniques have been applied to the simulated control of the air/fuel ratio. The method enables the identification of structured nonlinear models, due to the existence of the G and H matrices, that could be readily adapted online. The model used within the control scheme has been selected using the Young information criteria, which is used to assess its appropriateness, normally linear models, for control. The performance of the model, as part of the combined feedforward/feedback controller, appears satisfactory. When the nonlinear and time varying nature of the automotive engine system is considered, the fuzzy modelling methods are considered to offer some potential for engine control applications.

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A study of robust multivariable control designs for remotely operated vehicle depth control systems

A study of robust multivariable control designs for remotely...

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iee colloquium on control and Guidance of Remotely Operated Vehicles

作者： A. Trebi-Ollennu J. King B.A. White Royal Military College of Science School of Electrical Engineering and Science Cranfield University Wiltshire UK

This paper compares the results of four robust multivariable design techniques applied to the depth control of a nonlinear Remotely Operated Vehicle (ROV) subjected to parameter perturbations. Three nonlinear control techniques, namely, input-output(i/o) linearization control, input-output linearization control with sliding mode control and input-output linearization control with adaptive fuzzy control are studied. The fourth technique is the H/sub infinity / loop shaping design procedure using multiobjective optimization for the simultaneous design of robust stability and performance.< >

关键词： Adaptive control Fuzzy control H-infinity control Multivariable systems Nonlinear systems Position control Robustness

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Application of systems identification techniques to a superheater simulator using matlab

Application of systems identification techniques to a superh...

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iee colloquium on Computer Aided control System Design Algorithms and Packages for Personal Computers

作者： A.R.K. Easter D. Goldthorpe G. Waterworth R. Wilson Leeds Polytechnic UK C. E. C. B. Leeds UK

The CEGB has devised a distributed computer installation consisting of a host machine and three target machines. One target controls five real and simulated plant systems via a suitable interface. The five plants have been selected to demonstrate different aspects of control such as three-element, cascade and ratio. The plant was designed as scaled down versions of boiler drums, temperature controllers, pressure systems, etc., and has been constructed as working engineering systems using hardware such as motors, valves, water tanks and pipework. Each physical plant system may be controlled by a target computer running CUTLASS software schemes. In order to give more of the CEGB trainee engineers hands on experience of real-time control using CUTLASS, the development of a low cost version of the power plant simulator was proposed. The low cost simulator is able to simulate any of the original sections of plant, or several sections simultaneously by using a dedicated microprocessor.< >

关键词： Simulation Identification Matrices Microcomputer applications Training

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Adaptive inferential control

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iee colloquium (Digest) 1996年第60期 9/1-9/3页

作者： Brodie, K.A. Willis, M.J. Tham, M.T. Univ of Newcastle upon Tyne Newcastle upon Tyne United Kingdom

Despite the successful application of advanced predictive control algorithms to many industrial chemical processes satisfactory system performance cannot always be guaranteed. This is often the case where the infrequent measurement of key process outputs is unavoidable due to sampling limitations. In such situations the ability to detect deviations from desired process behavior is significantly impaired. Inferential estimation techniques employ more easily measured secondary variables to infer the desired primary variable. This facilitates the early detection of disturbances thus improved control performance is to be expected. An adaptive inferential measurement algorithm has been successfully applied to various industrial processes. This contribution discusses the development of a model based control strategy using the inferential estimation algorithm as a basis. The theoretical development of the adaptive inferential long range predictive control algorithm is outlined. The algorithm offers enhanced control performance when compared to existing model based design strategies.

关键词： Predictive control systems

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Computer-aided quality control of radiological systems

Computer-aided quality control of radiological systems

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iee colloquium on Intelligent Methods in Healthcare and Medical Applications (Digest No. 1998/514)

作者： C.J. Kotre Regional Medical Physics Department Newcastle General Hospital UK

The problem of quality control of radiological systems is discussed in relation to the management and quantitative tools normally applied to it. An alternative approach is to consider the problem in terms of a control loop in which the sets of quality control measurements are compared with their previous values in the context of a numerical model of the system to produce quantitative corrections. A preliminary study of the method applied to mammographic quality control is discussed. By modelling the system with an appropriate set of simultaneous linear equations relating changes in the controlled parameters to the quality control measurements obtained, it is possible to identify quantitative changes in the controlled parameters from measured quality control data using the inverse of the model in matrix form. This method essentially encapsulates knowledge about the system in the form of the linear model. This is distinct from current work attempting to apply artificial intelligence knowledge-based techniques to the problem.

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Development of a knowledge-based simulator for haemodynamic support of septic shock

Development of a knowledge-based simulator for haemodynamic ...

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iee colloquium on Simulation in Medicine (Ref. No. 1998/526)

作者： J.J. Ross D.G. Mason I.G. Paterson D.A. Linkens N.D. Edwards University Department of Anaesthesia Northern General Hospital Sheffield UK Department Automatic Control & Systems Engineering University of Sheffield UK

The authors' previous work has demonstrated self-learning fuzzy control as a powerful, flexible and versatile control technique which adapts itself easily to changing patient conditions. It has never previously been applied to multiple input/output parameter controllers in medicine. The authors are investigating this technique for providing automated control of drug infusions supporting the cardiovascular and renal systems of patients in 'septic shock'. To construct the control system the authors are using this stratagem: modelling the shocked patient; verification of the model; validation of the model; controller strategy development in simulation using the validated model; physical control system development; clinical trials. Here, the authors highlight their validation techniques.

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