Theme-Logo
  • Login
  • Home
  • Course
  • Publication
  • Theses
  • Reports
  • Published books
  • Workshops / Conferences
  • Supervised PhD
  • Supervised MSc
  • Supervised projects
  • Education
  • Language skills
  • Positions
  • Memberships and awards
  • Committees
  • Experience
  • Scientific activites
  • In links
  • Outgoinglinks
  • News
  • Gallery
publication name ANFIS-Based System Identification and Control of a Compliant Shape Memory Alloy (SMA) Rotating Actuator
Authors Nader A. Mansour; Hangyeol Baek; Taesoo Jang; Buhyun Shin; Youngshik Kim
year 2020
keywords
journal IEEE/ASME International Conference on Advanced Intelligent Mechatronics
volume Not Available
issue Not Available
pages Not Available
publisher Not Available
Local/International International
Paper Link https://ieeexplore.ieee.org/document/9159014
Full paper download
Supplementary materials Not Available
Abstract

In this paper, we present Adaptive Neuro-Fuzzy Inference System (ANFIS)-based modelling and control of a compliant rotary actuator using Shape Memory Alloy (SMA) material. The SMA material has flexible behavior that can be suitable for compliant applications specially bio-inspired and soft robotics. The driving circuit used in this system is designed and implemented to be embedded in the same actuator. This embedded driving circuit provides compactness advantage for our proposed actuator to be effectively used in further applications with higher Degrees Of Freedom (DOF). The model of the SMA rotating actuator is obtained by system identification using ANFIS algorithm based on real experimental data. Closed-loop feedback control system is designed in the simulation based on the obtained ANFIS model. PID controller is ultimately implemented in the real system. The system response could attain a rise time of 0.5 sec and an overshoot of 8%. The controller could achieve satisfying tracking and disturbance rejection.

Benha University © 2023 Designed and developed by portal team - Benha University