Abstract
A new kind of frequency model reduction method is proposed for unstable processes with time delay based on genetic algorithm. By adopting error between actual model and objective model, the model reduction process is transformed into minimal optimization process. To direct at time-delay problem, phase angle condition is introduced to increase degree of approximation between reduction model and actual model. Performance index is optimized with genetic algorithm to enlarge the applicability of traditional algorithm; the problem of model reduction is solved effectively with this method. Simulation results show that the reduced order model not only can approximate the original model but also can give good dynamic and static characteristics.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
