Computer Science – Systems and Control
Scientific paper
2012-02-25
Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011, art. no. 5978962, July 2
Computer Science
Systems and Control
6 pages, 9 figures
Scientific paper
10.1109/PACC.2011.5978962
Genetic Algorithm (GA) has been used in this paper for a new Nyquist based sub-optimal model reduction and optimal time domain tuning of PID and fractional order (FO) PI{\lambda}D{\mu} controllers. Comparative studies show that the new model reduction technique outperforms the conventional H2-norm based reduced order modeling techniques. Optimum tuning rule has been developed next with a test-bench of higher order processes via Genetic Programming (GP) with minimum value of weighted integral error index and control signal. From the Pareto optimal front which is a trade-off between the complexity of the formulae and control performance, an efficient set of tuning rules has been generated for time domain optimal PID and PI{\lambda}D{\mu} controllers.
Das Saptarshi
Das Shantanu
Gupta Amitava
Pan Indranil
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