Abstract
AbstractThis paper suggests the use of Gravitational Search Algorithms (GSAs) in fuzzy control systems tuning. New GSAs are first offered on the basis of the modification of the depreciation equation of the gravitational constant with the iteration index and of an additional constraint regarding system's overshoot. The GSAs are next used in solving the optimization problems which minimize the discrete-time objective functions defined as the weighted sum of the squared control error and of the squared output sensitivity functions. The sensitivity functions are derived from the sensitivity models defined with respect to the parametric variations of the controlled plant such that to aim the parametric sensitivity reduction. The presentation focuses the representative case of Takagi-Sugeno PI-fuzzy controllers (PI-FCs) that controls a class of servo systems characterized by second-order linearized models with integral component. Discussions concerning the tuning of the PI-FC parameters in a case study are included.
Sign-in/Register to access full text options 
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.
