Advertisement
Published in:
2010 | OriginalPaper | Chapter
PID Step Response Using Genetic Programming
Authors : Marcus Henrique Soares Mendes, Gustavo Luís Soares, João Antônio de Vasconcelos
Published in: Simulated Evolution and Learning
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.