JOURNAL ARTICLE

Position Control of Linear Servo System Using Intelligent Feedback Controller

Abstract

This paper presents a new position tracking control strategy that meets the position tracking performance and the closed loop robustness to external disturbance and model parameters variations without parameter identification. In order to achieve the desired input-output tracking and disturbance rejection performance independently, a two-degree-of-freedom (2DOF) internal model control (IMC) is introduced in controller structure. Furthermore, based on fuzzy logic, the parameter of the feedback controller is adjusted on-line to improve robustness. The simulation results on a direct-drive permanent magnet linear synchronous motor (PMLSM) show that proposed method is effective on improving system robustness

Keywords:
Control theory (sociology) Robustness (evolution) Servomechanism Control engineering Servomotor Computer science Robust control Fuzzy logic Control system Engineering Artificial intelligence Control (management)

Metrics

4
Cited By
0.79
FWCI (Field Weighted Citation Impact)
10
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Sensorless Control of Electric Motors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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