학술논문

A novel DC drive based on fuzzy logic inverse plant model optimised by ANFIS
Document Type
Conference
Source
2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Industrial technology Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on. 2:1127-1132 Vol. 2 2004
Subject
Power, Energy and Industry Applications
Robotics and Control Systems
Computing and Processing
Fuzzy logic
Inverse problems
Adaptive systems
Control system synthesis
Open loop systems
Microcontrollers
DC motors
Velocity control
Virtual prototyping
Testing
Language
Abstract
In this work a direct current (DC) drive based on the fuzzy logic (Sugeno type) inverse plant model optimised by adaptive neuro-fuzzy inference system (ANFIS) is presented. A control system simulation formed by the fuzzy logic plant model and the fuzzy logic inverse plant model was generated. Programming the inverse plant model into a microcontroller and substituting the plant model by the real DC motor, an open-loop speed control prototype was tested and the simulation and experimental results are included to validate the theory presented in this paper.