This paper describes an algorithm that generates analytic functions for PID step response characteristics (i. e. rise time, overshoot, settling time, peak time and integral of time weighted absolute error) in an application of a third-order plant. The algorithm uses genetic programming for symbolic regressions and provides formal expressions composed of variables, constants, elementary operators and mathematical functions. Results show a good fitting between the desired and obtained step response for DC motor positioning problem. © 2010 Springer-Verlag.
CITATION STYLE
Mendes, M. H. S., Soares, G. L., & De Vasconcelos, J. A. (2010). PID step response using genetic programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6457 LNCS, pp. 359–368). https://doi.org/10.1007/978-3-642-17298-4_37
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