Ashry, M., Mabrouk, M., Breikin, T. (2010). Tuning of Digital PID Controller for Multivariable Systems Using Local Optimal Controller. test, 7(7th International Conference on Electrical Engineering ICEENG 2010), 1-14. doi: 10.21608/iceeng.2010.33471
Mahmoud Ashry; Mohamed Mabrouk; Tim Breikin. "Tuning of Digital PID Controller for Multivariable Systems Using Local Optimal Controller". test, 7, 7th International Conference on Electrical Engineering ICEENG 2010, 2010, 1-14. doi: 10.21608/iceeng.2010.33471
Ashry, M., Mabrouk, M., Breikin, T. (2010). 'Tuning of Digital PID Controller for Multivariable Systems Using Local Optimal Controller', test, 7(7th International Conference on Electrical Engineering ICEENG 2010), pp. 1-14. doi: 10.21608/iceeng.2010.33471
Ashry, M., Mabrouk, M., Breikin, T. Tuning of Digital PID Controller for Multivariable Systems Using Local Optimal Controller. test, 2010; 7(7th International Conference on Electrical Engineering ICEENG 2010): 1-14. doi: 10.21608/iceeng.2010.33471

Tuning of Digital PID Controller for Multivariable Systems Using Local Optimal Controller

The International Conference on Electrical Engineering
Article 128, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Pages 1-14    PDF (197.14 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2010.33471
Authors
Mahmoud Ashry1; Mohamed Mabrouk1; Tim Breikin2
1Egyptian Armed Forces.
2Control systems centre, University of Manchester, Manchester, UK.
Abstract
Abstract:
This paper introduces a new tuning technique for digital PID controller parameters of
multivariable systems. This technique is based on the modified Local Optimal
Controller (LOC) parameters for certain predefined model structures. The modified
LOC parameters can be obtained using the identified parameters of the predefined
model structure. As such, the digital PID controller parameters can be tuned using the
model parameters of certain predefined structures and a single tunable parameter related
to the LOC for each output of the multivariable system. Becoming a model-based
controller, the PID controller parameters can be adjusted in automatic mode.
This new technique is compared with the existing Genetic Algorithm (GA) technique
for tuning digital PID controller parameters. The comparison is based on the
experimental results of the Bytronic Process Control Unit (PCU).
Keywords
Digital PID Tuning; Local Optimal Controller; multivariable systems
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