Open AccessNovel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mode Controller
Author(s) -
T. Someswari,
Anil Kumar Tiwari,
R. Nagaraj
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i6.pp4310-4320
Subject(s) - computer science , controller (irrigation) , mode (computer interface) , reliability (semiconductor) , fuzzy logic , sliding mode control , state (computer science) , real time computing , control engineering , control theory (sociology) , control (management) , artificial intelligence , engineering , human–computer interaction , power (physics) , physics , algorithm , quantum mechanics , nonlinear system , agronomy , biology
The reliability of any embedded navigator in advanced vehicular system depends upon correct and precise information of navigational data captured and processed to offer trustworthy path. After reviewing the existing system, a significant trade-off is explored between the existing navigational system and present state of controller design on various case studies and applications. The existing design of controller system for navigation using error-prone GPS/INS data doesn‟t emphasize on sliding mode controller. Although, there has been good number of studies in sliding mode controller, it is less attempted to optimize the navigational performance of a vehicle. Therefore, this paper presents a novel optimized design of a sliding mode controller that can be effectively deployed on advanced navigational system. The study outcome was found to offer higher speed, optimal control signal, and lower error occurances to prove that proposed system offers reliable and optimized navigational services in contrast to existing system.