Marco Bonvini
Politecnico di Milano, Dipartimento di Elettronica e Informazione, Milano, Italy
Alberto Leva
Politecnico di Milano, Dipartimento di Elettronica e Informazione, Milano, Italy
Ladda ner artikel
http://dx.doi.org/10.3384/ecp12076477Ingår i: Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany
Linköping Electronic Conference Proceedings 76:48, s. 477-484
Publicerad: 2012-11-19
ISBN: 978-91-7519-826-2
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Many studies for which simulation is necessary include the presence of control systems. While plenty of Modelica libraries are nowadays available to accurately represent the plant; the same is not so true as for the control elements; since industrial ones are endowed with a number of functionalities -- and often present system- or even vendor-specific peculiarities -- that are not represented by the typical blocks (e.g.; based on transfer functions) offered by the existing libraries. This paper is an attempt to start filling the gap and provide an efficient solution; structured and organised in such a way to be easily understood by control specialists; and to ease information transfer between simulation studies and implementation.
[1] K.J. Åström and T. Hägglund. Industrial adaptive controllers based on frequency response techniques. Automatica; 27(4):599–609; 1991.
doi:
10.1016/0005-1098(91)90052-4.
[2] K.J. Åström and T. Hägglund. Benchmark systems for PID control. In IFAC Workshop on Digital Control – Past; present; and future of PID Control; Terrassa; Spain; 2000.
[3] K.J. Åström and T. Hägglund. Advanced PID control. Instrument Society of America; Research Triangle Park; NY; 2006.
[4] W. Dunn and W.C. Dunn. Fundamentals of industrial instrumentation and process control. McGraw-Hill Professional; 2005.
[5] A. Leva. PID autotuning algorithm based on relay feedback. IEE Proceedings-D; 140(5):328–338; 1993.
[6] A. Leva and M. Bonvini. Efficient hybrid simulation of autotuning PI controllers. In Proc. 8th International Modelica Conference; Dresden; Germany; 2011.
[7] A. Leva; S. Negro; and A.V. Papadopoulos. PI/PID autotuning with contextual model parametrisation. Journal of Process Control; 20(4):452–463; 2010.
doi: 10.1016/j.jprocont.2010.01.005.
[8] A. O’Dwyer. Handbook of PI and PID controller tuning rules. World Scientific Publishing; Singapore; 2003.
doi: 10.1142/p277.
[9] F.G. Shinskey. Process control: as tought versus as practiced. Industrial & Engineering Chemistry Research; 41(16):3745–3750; 2002.
doi: 10.1021/ie010645n.
