FPGA-based computed force control system using Elman neural network for linear ultrasonic motor

IEEE Transactions on Industrial Electronics

Volumn 56, Issue 4, 2009, Pages 1238-1253

  Lin, Faa Jeng ^a   Hung, Ying Chih ^a   Chen, Syuan Yi ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Computed force control; Elman neural network (ENN); Field programmable gate array (FPGA); Linear ultrasonic motor (LUSM)

Indexed keywords

APPROXIMATION CAPABILITIES; COMPUTED FORCE CONTROL; CONTROL ALGORITHMS; CONTROL PERFORMANCE; DYNAMIC CHARACTERISTICS; ELMAN NEURAL NETWORK (ENN); FIELD-PROGRAMMABLE GATE ARRAY (FPGA); FPGA CHIPS; FRICTION FORCES; LINEAR ULTRASONIC MOTOR (LUSM); LYAPUNOV STABILITY THEOREMS; MOTOR PARAMETERS; NON-LINEAR FUNCTIONS; ON-LINE LEARNING; OPERATING PRINCIPLES; PARAMETER VARIATIONS; POSITIONING AND TRACKING; PROJECTION ALGORITHMS; REFERENCE TRAJECTORIES; TIME-VARYING;

CONTROL SYSTEM ANALYSIS; CONVERGENCE OF NUMERICAL METHODS; EDUCATION; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); FORCE CONTROL; FRICTION; INDUSTRIAL APPLICATIONS; INTERNET; LINEAR MOTORS; LOGIC GATES; NEURAL NETWORKS; PIEZOELECTRIC DEVICES; SYSTEM STABILITY; ULTRASONIC MACHINE TOOLS; ULTRASONICS; UNCERTAINTY ANALYSIS;

MOTORS;

EID: 65549153731     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2008.2007040     Document Type: Article

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