|
Volumn 47, Issue 1, 2011, Pages 227-234
|
A global robust iterative learning position control for current-fed permanent magnet step motors
|
Author keywords
Global robust control; Learning control; Output tracking; Step motor
|
Indexed keywords
ASYMPTOTIC CONVERGENCE;
ASYMPTOTIC ESTIMATION;
CONTROL ALGORITHMS;
DISCRETE-TIME;
EXPONENTIAL CONVERGENCE;
FINITE MEMORY;
GLOBAL ROBUST CONTROL;
INITIAL CONDITIONS;
ITERATIVE LEARNING;
ITERATIVE LEARNING CONTROL ALGORITHM;
LEARNING CONTROL;
LEARNING GAIN;
LOAD TORQUES;
NON-SINUSOIDAL FLUX;
OUTPUT-TRACKING;
PERIODIC REFERENCE SIGNALS;
PIECEWISE LINEAR APPROXIMATIONS;
REALISTIC SIMULATION;
REFERENCE INPUTS;
ROTOR POSITION;
STEP MOTOR;
SUFFICIENT CONDITIONS;
SYSTEM UNCERTAINTIES;
TRACKING CONTROL PROBLEM;
VOLTAGE-FED;
APPROXIMATION ALGORITHMS;
APPROXIMATION THEORY;
ASYMPTOTIC ANALYSIS;
CONVERGENCE OF NUMERICAL METHODS;
FEEDBACK;
MAGNETIC DEVICES;
PERMANENT MAGNETS;
PIECEWISE LINEAR TECHNIQUES;
ROBUST CONTROL;
STATE FEEDBACK;
STEPPING MOTORS;
LEARNING ALGORITHMS;
|
EID: 78650830029
PISSN: 00051098
EISSN: None
Source Type: Journal
DOI: 10.1016/j.automatica.2010.10.048 Document Type: Article |
Times cited : (53)
|
References (15)
|