Exploration of automatic controller synthesis for motion systems using genetic programming

D.J.H. Bruijnen; I.A.C. Soute; M.J.G. Molengraft, van de; M. Steinbuch

Exploration of automatic controller synthesis for motion systems using genetic programming

D.J.H. Bruijnen, I.A.C. Soute, M.J.G. Molengraft, van de, M. Steinbuch

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In this paper a method for automatic controller synthesis based on Genetic Programming (GP) is presented. We propose a GP algorithm linked with Matlab/Simulink, a well known tool amongst control engineers. The GP algorithm performs its evolutionary steps to create controllers, whilst Matlab/Simulink evaluates these controllers for their appropriateness. The engineer no longer needs design rules, he only needs to specify both time- and frequency-domain requirements for the controller. Simulations have been carried out successfully,applying GP to ﬁnd a linear controller for a fourth order motion system.

Original language	English
Title of host publication	Proceedings of the 3rd IFAC symposium on Mechatronic systems 2004 , 6-8 September 2004, Sydney, Australia
Editors	S.O.R. Moheimani
Place of Publication	Oxford
Publisher	Elsevier
Pages	235-241
ISBN (Print)	0-08-044263-3
Publication status	Published - 2004

Cite this

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title = "Exploration of automatic controller synthesis for motion systems using genetic programming",

abstract = "In this paper a method for automatic controller synthesis based on Genetic Programming (GP) is presented. We propose a GP algorithm linked with Matlab/Simulink, a well known tool amongst control engineers. The GP algorithm performs its evolutionary steps to create controllers, whilst Matlab/Simulink evaluates these controllers for their appropriateness. The engineer no longer needs design rules, he only needs to specify both time- and frequency-domain requirements for the controller. Simulations have been carried out successfully,applying GP to ﬁnd a linear controller for a fourth order motion system.",

author = "D.J.H. Bruijnen and I.A.C. Soute and {Molengraft, van de}, M.J.G. and M. Steinbuch",

year = "2004",

language = "English",

isbn = "0-08-044263-3",

pages = "235--241",

editor = "S.O.R. Moheimani",

booktitle = "Proceedings of the 3rd IFAC symposium on Mechatronic systems 2004 , 6-8 September 2004, Sydney, Australia",

publisher = "Elsevier",

address = "Netherlands",

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Exploration of automatic controller synthesis for motion systems using genetic programming. / Bruijnen, D.J.H.; Soute, I.A.C.; Molengraft, van de, M.J.G. et al.
Proceedings of the 3rd IFAC symposium on Mechatronic systems 2004 , 6-8 September 2004, Sydney, Australia. ed. / S.O.R. Moheimani. Oxford: Elsevier, 2004. p. 235-241.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Exploration of automatic controller synthesis for motion systems using genetic programming

AU - Bruijnen, D.J.H.

AU - Soute, I.A.C.

AU - Molengraft, van de, M.J.G.

AU - Steinbuch, M.

PY - 2004

Y1 - 2004

N2 - In this paper a method for automatic controller synthesis based on Genetic Programming (GP) is presented. We propose a GP algorithm linked with Matlab/Simulink, a well known tool amongst control engineers. The GP algorithm performs its evolutionary steps to create controllers, whilst Matlab/Simulink evaluates these controllers for their appropriateness. The engineer no longer needs design rules, he only needs to specify both time- and frequency-domain requirements for the controller. Simulations have been carried out successfully,applying GP to ﬁnd a linear controller for a fourth order motion system.

AB - In this paper a method for automatic controller synthesis based on Genetic Programming (GP) is presented. We propose a GP algorithm linked with Matlab/Simulink, a well known tool amongst control engineers. The GP algorithm performs its evolutionary steps to create controllers, whilst Matlab/Simulink evaluates these controllers for their appropriateness. The engineer no longer needs design rules, he only needs to specify both time- and frequency-domain requirements for the controller. Simulations have been carried out successfully,applying GP to ﬁnd a linear controller for a fourth order motion system.

M3 - Conference contribution

SN - 0-08-044263-3

SP - 235

EP - 241

BT - Proceedings of the 3rd IFAC symposium on Mechatronic systems 2004 , 6-8 September 2004, Sydney, Australia

A2 - Moheimani, S.O.R.

PB - Elsevier

CY - Oxford

ER -

Exploration of automatic controller synthesis for motion systems using genetic programming

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