By Topic

Design of cloud model controller based on multi-objective optimization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Junlin Chang ; School of Information and Electrical Engineering, China University of Mining and Technology ; Wei Zhang ; Jing Zhang ; Wei Wei

In order to solve the problem that the parameters of cloud model are difficult to get and the weight of performance index is difficult to obtain when adopt single objective optimization algorithm. A new design of cloud model controller based on multi-objective optimization is proposed. In the first stage, set the system overshoot, settling time, and ITAE index as the optimization objectives, then a fast non-dominating sorting genetic algorithm II (NSGA-II) is employed to optimize its output parameters kup, kui, kud and characteristic parameters Ex, En, He. In the subsequent stage, the decision-maker can choose the satisfactory solution from the Pareto optimal solution set according to actual needs. The validity and superiority of the proposed method are supported by simulation results.

Published in:

2011 Chinese Control and Decision Conference (CCDC)

Date of Conference:

23-25 May 2011