[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Sendrescu, 2012 - Google Patents

Parameter identification of a DC motor via distribution based approach

Sendrescu, 2012

View PDF
Document ID
15645308619892286469
Author
Sendrescu D
Publication year
Publication venue
2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR)

External Links

Snippet

In this paper one presents an algorithm for a DC motor parameters identification from sample data using the distribution approach. While most of the latest methods used in identification utilize a discrete-time model, the distribution method is an alternative approach …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P3/00Measuring linear or angular speed; Measuring differences of linear or angular speeds
    • G01P3/42Devices characterised by the use of electric or magnetic means
    • G01P3/44Devices characterised by the use of electric or magnetic means for measuring angular speed

Similar Documents

Publication Publication Date Title
Brock et al. Two approaches to speed control for multi-mass system with variable mechanical parameters
Brouri et al. Frequency identification of Hammerstein-Wiener systems with Backlash input nonlinearity
CN102771043A (en) Torque ripple suppression control apparatus and torque ripple suppression control method for rotating electrical machine
Sendrescu Parameter identification of a DC motor via distribution based approach
Shewale et al. Novel machine health monitoring system
Rajabi et al. Sliding mode trajectory tracking control of a ball‐screw‐driven shake table based on online state estimations using EKF/UKF
Henry et al. The Prism: efficient signal processing for the internet of things
CN111024214B (en) Method for acquiring natural frequency of acoustic resonance mixer in real time in operation process
Zhou et al. Maximum likelihood estimator of operational modal analysis for linear time-varying structures in time–frequency domain
Jullien-Corrigan et al. Measurement of high-frequency milling forces using piezoelectric dynamometers with dynamic compensation
CN101243607A (en) System identification device
Csurcsia et al. Nonlinear modelling of an F16 benchmark measurement
Arabaci et al. A novel motor speed calculation method using square wave speed sensor signals via fast Fourier transform
Prajapat et al. Modelling and estimation of gear train backlash present in wind turbine driven DFIG system
Nanda et al. Field programmable gate array implementation of fuzzy variable step size adaptive linear element for adaptive frequency estimation<? show [AQ ID= Q1]?>
Becedas et al. Algebraic parameters identification of DC motors: methodology and analysis
Velázquez et al. A generic model for sensor simulation at system level
Sendrescu DC motor identification based on distributions method
Mustafa et al. Stator-free low angular speed sensor based on a MEMS gyroscope
TW201830270A (en) Method of estimating dc machine parameters by laplace transform
Matsui et al. Plant model analysis based on closed-loop step response data
Kowalczuk et al. Evaluating the position of a mobile robot using accelerometer data
CN107942734B (en) Feed system closed-loop time domain simulation method based on dynamic test data
Ahmed et al. Process identification from sinusoidal test data by estimating step response
Altaf Modeling and Event-Triggered Control ofMultiple 3D Tower Cranes over WSNs