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PID controller Tuning for a Multivariable Glass Furnace Process by Genetic Algorithm

International Journal of Automation and computing 2016年第1期13卷 64-72页

作者： Kumaran Rajarathinam James Barry Gomm Ding-Li Yu Ahmed Saad Abdelhadi Mechanical Engineering and Materials Research Centre Control Systems Group School of EngineeringLiverpool John Moores University

Standard genetic algorithms （SGAs） are investigated to optimise discrete-time proportional-integral-derivative （PID） con- troller parameters, by three tuning approaches, for a multivariable glass furnace process with loop interaction. Initially, standard genetic algorithms （SGAs） are used to identify control oriented models of the plant which are subsequently used for controller optimisa- tion. An individual tuning approach without loop interaction is considered first to categorise the genetic operators, cost functions and improve searching boundaries to attain the desired performance criteria. The second tuning approach considers controller parameters optimisation with loop interaction and individual cost functions. While, the third tuning approach utilises a modified cost function which includes the total effect of both controlled variables, glass temperature and excess oxygen. This modified cost function is shown to exhibit improved control robustness and disturbance rejection under loop interaction.

关键词： Genetic algorithms control optimisation decentralised control proportional-integral-derivative (PID) control modifiedcost function multivariable process loop interaction.

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Residential electrical vehicle charging strategies:the good,the bad and the ugly

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Journal of Modern Power Systems and Clean Energy 2015年第2期3卷 190-202页

作者： Mingming LIU Paul MCNAMARA Robert SHORTEN Sean MCLOONE Hamilton Institute Maynooth UniversityMaynoothCo.KildareIreland Department of Electronic Engineering Maynooth UniversityMaynoothCo.KildareIreland BM Research DublinIreland School of Electronics Electrical Engineering and Computer ScienceQueen’s University BelfastBelfastUK

In recent years,a wide variety of centralised and decentralised algorithms have been proposed for residential charging of electric vehicles(EVs).In this paper,we present a mathematical framework which casts the EV charging scenarios addressed by these algorithms as optimisation problems having either temporal or instantaneous optimisation objectives with respect to the different actors in the power *** this framework and a realistic distribution network simulation testbed,we provide a comparative evaluation of a range of different residential EV charging strategies,highlighting in each case positive and negative characteristics.

关键词： Electric vehicle Smart grid decentralised control Centralised control Demand side management

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Direct and Indirect Gradient control for Static Optimisation

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International Journal of Automation and computing 2005年第1期2卷 60-66页

作者： Yi Cao School of Engineering Cranfield UniversityUK

Static “self-optimising” control is an important concept, which provides a link between static optimisation and control. According to the concept, a dynamic control system could be configured in such a way that when a set of certain variables are maintained at their setpoints, the overall process operation is automatically optimal or near optimal at steady-state in the presence of disturbances. A novel approach using constrained gradient control to achieve “self-optimisation” has been proposed by Cao. However, for most process plants, the information required to get the gradient measure may not be available in real-time. In such cases, controlled variable selection has to be carried out based on measurable candidates. In this work, the idea of direct gradient control has been extended to controlled variable selection based on gradient sensitivity analysis (indirect gradient control). New criteria, which indicate the sensitivity of the gradient function to disturbances and implementation errors, have been derived for selection. The particular case study shows that the controlled variables selected by gradient sensitivity measures are able to achieve near optimal performance.

关键词： Plantwide control self-optimising control control schemes decentralised control cascade control automatic di?erentiation.

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