Open AccessInput-output linearization of DC-DC converter with discrete sliding mode fuzzy control strategy
Author(s) -
Viji Karthikeyan,
Anil Kumar Tiwari,
Agalya Vedi,
Buvana Devaraju
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i2.pp1223-1232
Subject(s) - control theory (sociology) , fuzzy logic , linearization , controller (irrigation) , computer science , sliding mode control , feedback linearization , fuzzy control system , mode (computer interface) , nonlinear system , control (management) , physics , artificial intelligence , quantum mechanics , agronomy , biology , operating system
The major thrust of the paper is on designing a fuzzy logic approach has been combined with a well-known robust technique discrete sliding mode control (DSMC) to develop a new strategy for discrete sliding mode fuzzy control (DSMFC) in direct current (DC-DC) converter. Proposed scheme requires human expertise in the design of the rule base and is inherently stable. It also overcomes the limitation of DSMC, which requires bounds of uncertainty to be known for development of a DSMC control law. The scheme is also applicable to higher order systems unlike model following fuzzy control, where formation of rule base becomes difficult with rise in number of error and error derivative inputs. In this paper the linearization of input-output performance is carried out by the DSMFC algorithm for boost converter. The DSMFC strategy minimizes the chattering problem faced by the DSMC. The simulated performance of a discrete sliding mode fuzzy controller is studied and the results are investigated.