Hybrid recurrent cerebellar model articulation controller-based supervisory H∞ motion control system for permanent-magnet synchronous motor servo drive

IET Electric Power Applications

Volumn 5, Issue 7, 2011, Pages 563-579

  El Sousy, F F M ^a  

^a PRINCE SATTAM BIN ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOUND ESTIMATION; ADAPTIVE CONTROL LAW; APPROXIMATION ERRORS; CEREBELLAR MODEL ARTICULATION; COMPUTED TORQUE CONTROL; DIGITAL SIGNALS; EXPERIMENTAL SYSTEM; HIGH-PRECISION POSITION; HYBRID CONTROL SYSTEMS; LOAD DISTURBANCES; LYAPUNOV STABILITY ANALYSIS; PARAMETERS UNCERTAINTIES; PERMANENT MAGNET SYNCHRONOUS MOTOR; POSITION TRACKING CONTROLLERS; RECURRENT CEREBELLAR MODEL ARTICULATION CONTROLLERS; ROBUST H; ROBUST PERFORMANCE; SERVO DRIVES; SUPERVISORY CONTROLLERS; SYSTEM STATE; TRACKING PERFORMANCE; UNCERTAINTY BOUNDS;

ADAPTIVE ALGORITHMS; APPROXIMATION ALGORITHMS; COMPUTER CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL SYSTEM STABILITY; CONTROL THEORY; CONTROLLERS; DIGITAL SIGNAL PROCESSORS; ELECTRIC MOTORS; MOTION CONTROL; PERMANENT MAGNETS; SIGNAL PROCESSING; SPEED CONTROL; SYNCHRONOUS MOTORS; TRACKING (POSITION);

ADAPTIVE CONTROL SYSTEMS;

EID: 80051685846     PISSN: 17518660     EISSN: 17518679     Source Type: Journal    
DOI: 10.1049/iet-epa.2010.0169     Document Type: Article

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