Genetic algorithm approach to designing finite-precision controller structures
Genetic algorithm approach to designing finite-precision controller structures
- Author(s): J.F. Whidborne and R.S.H. Istepanian
- DOI: 10.1049/ip-cta:20010604
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- Author(s): J.F. Whidborne 1 and R.S.H. Istepanian 2
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View affiliations
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Affiliations:
1: Division of Engineering, King's College London, Strand, London, UK
2: Department of Electronic and Computer Engineering, Brunel University, UK
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Affiliations:
1: Division of Engineering, King's College London, Strand, London, UK
- Source:
Volume 148, Issue 5,
September 2001,
p.
377 – 382
DOI: 10.1049/ip-cta:20010604 , Print ISSN 1350-2379, Online ISSN 1359-7035
The parameters of a digital control design usually need to be rounded when the controller is implemented with finite precision arithmetic. This often results in degradation of the closed loop performance and reduced stability margins. This paper presents a multi-objective genetic algorithm based approach to designing the structure of a finite-precision second-order state space controller implementation, which can simultaneously minimise some set of performance degradation indices and implementation cost indices. The approach provides a set of solutions that are near Pareto-optimal, and so allows the designer to trade-off performance degradation against implementation cost. The method is illustrated by the design of the structure of a PID controller for the IFAC93 benchmark problem.
Inspec keywords: genetic algorithms; control system synthesis; discrete time systems; minimisation; state-space methods; digital control; optimal control; closed loop systems; stability criteria
Other keywords:
Subjects: Optimal control; Stability in control theory; Control system analysis and synthesis methods; Discrete control systems
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