Time-domain method for the design of optimal linear controllers

Dan-Isa, Ado; Atherton, D.P.

doi:10.1049/ip-cta:19971140

Cited by 8 publications

(1 citation statement)

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“…They used these to develop graphs that relate the optimal P, PI, and PID controller settings with the three parameters of a first-order dead time process model. A time-domain PID controller tuning method that is based on integral performance criteria was also developed by Dan-Isa & Atherton [2]. More recently, a decentralised PID controller tuning method for multivariable processes was proposed.…”

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Genetic Algorithm Optimisation of PID Controllers for a Multivariable Process

Alharbi

Gomm²

2017

Int. J. Recent Contrib. Eng. Sci. IT

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Abstract-This project is about the design of PID controllers and the improvement of outputs in multivariable processes. The optimisation of PID controller for the Shell oil process is presented in this paper, using Genetic Algorithms (GAs). GAs are used to automatically tune PID controllers according to given specifications. They use an objective function, which is specially formulated and measures the performance of controller in terms of time-domain bounds on the responses of closed-loop process. A specific objective function is suggested that allows the designer for a single-input, single-output (SISO) process to explicitly specify the process performance specifications associated with the given problem in terms of time-domain bounds, then experimentally evaluate the closed-loop responses. This is investigated using a simple two-term parametric PID controller tuning problem. The results are then analysed and compared with those obtained using a number of popular conventional controller tuning methods. The intention is to demonstrate that the proposed objective function is inherently capable of accurately quantifying complex performance specifications in the time domain. This is something that cannot normally be employed in conventional controller design or tuning methods. Finally, the recommended objective function will be used to examine the control problems of Multi-Input-Multi-Output (MIMO) processes, and the results will be presented in order to determine the efficiency of the suggested control system.

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confidence: 99%