Decentralised control optimisation for a glass furnace by SGAs

Rajarathianm, Kumaran; Gomm, J.B.; Jones, Karl O.; Abdelhadi, Ahmed

doi:10.1145/2659532.2659614

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2016

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Cited by 2 publications

References 12 publications

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PID controller tuning for a multivariable glass furnace process by genetic algorithm

Rajarathinam

Gomm

et al. 2016

Int. J. Autom. Comput.

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Abstract:Standard genetic algorithms (SGAs) are investigated to optimise the discrete-time PID controller parameters by three tuning approaches for a multivariable glass furnace process with loop interaction. Initially, SGAs are used to identify control oriented models of the plant which are subsequently used for controller optimisation. 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.

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PID controller tuning for a multivariable glass furnace process by genetic algorithm

Rajarathinam

Gomm

et al. 2016

Int. J. Autom. Comput.

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show abstract

Advanced PID Control Optimisation and System Identification for Multivariable Glass Furnace Processes by Genetic Algorithms

Rajarathinam¹

2016

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Decentralised control optimisation for a glass furnace by SGAs

Abstract: Abstract:In this paper, the potential of standard genetic algorithms (SGAs)

Cited by 2 publications

References 12 publications

PID controller tuning for a multivariable glass furnace process by genetic algorithm

PID controller tuning for a multivariable glass furnace process by genetic algorithm

Advanced PID Control Optimisation and System Identification for Multivariable Glass Furnace Processes by Genetic Algorithms

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