학술논문

Quantitative Feedback Theory based Robust Controller Design for Speed Control of DC Motor
Document Type
Conference
Source
2018 3rd International Conference on Communication and Electronics Systems (ICCES) Communication and Electronics Systems (ICCES), 2018 3rd International Conference on. :492-496 Oct, 2018
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
DC motors
Velocity control
Conferences
Instruments
Aerospace electronics
Matlab
Servomotors
QFT Robust Controller
DC Motor
LQR
H-Infinity
MATLAB
Load Characteristics
Language
Abstract
DC motor speed control is critical assignment in turning machines, Fans, Blowers, Conveyors, Centrifugal Pumps, Lifts, Weaving Machine based continuous applications. In this proposed original copy different strong controller configuration has been actualized to control the speed and position of settled field DC motor at different unfaltering state speed and position, which gives speedier settling time, least pinnacle overshoot, least ascent time and low relentless state mistake while its dynamic transient change concerning load characteristics. In light of first standard method, displaying of DC motor has been completed as both Transfer capacity and state space demonstrate. Quantitative feedback theory based vigorous feedback controller outline (LQR, H-Infinity) gives ideal set point following outcomes when contrasted with ordinary controller. The open circle reaction, Time space and Disturbance handling investigation have been experienced in MATLAB reenactment and after that the exploratory outcomes are approved by directing shut circle feedback control test with various load characteristics.