Design of Fuzzy Fractional PD + I Controllers Tuned by a Genetic Algorithm | Zendy

Isabel S. Jesus | Zendy; Ramiro S. Barbosa | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Design of Fuzzy Fractional PD + I Controllers Tuned by a Genetic Algorithm

Author(s) -

Isabel S. Jesus,

Ramiro S. Barbosa

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/676121

Subject(s) - robustness (evolution) , fuzzy logic , genetic algorithm , control theory (sociology) , fuzzy control system , flexibility (engineering) , process (computing) , computer science , algorithm , mathematical optimization , mathematics , control (management) , artificial intelligence , biochemistry , chemistry , statistics , gene , operating system

The fractional-order concepts are a useful tool to describe several physical phenomena, and nowadays they are widely used in the field of automatic control. A genetic algorithm (GA) is a search process for finding approximate solutions in optimization problems. The GA provides further flexibility and robustness that are unique for signal process. In this paper we consider the development of an optimal fuzzy fractional PD + I controller in which the parameters are tuned by a GA. The performance of the proposed fuzzy fractional control is illustrated through some application examples

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research