Proceedings 1992 IEEE International Conference on Robotics and Automation
DOI: 10.1109/robot.1992.220228
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Estimation of angular velocity and acceleration from shaft encoder measurements

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Cited by 121 publications
(91 citation statements)
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“…1a), the angular position of the motor's output shaft is measured by an array of Hall effect sensors with a resolution (gearing considered) of 600 counts per revolution. In order to eliminate quantization noise, angular velocity and acceleration of the shaft are estimated using a model-free Kalman filter (Belanger et al 1998). For a 1.0 Hz sinusoidal motion, the delay in the acceleration estimate is between 4 and 5 time steps, or about 16 • phase.…”
Section: Robustness To Time Delay In the Exoskeleton Control And Othementioning
confidence: 99%
“…1a), the angular position of the motor's output shaft is measured by an array of Hall effect sensors with a resolution (gearing considered) of 600 counts per revolution. In order to eliminate quantization noise, angular velocity and acceleration of the shaft are estimated using a model-free Kalman filter (Belanger et al 1998). For a 1.0 Hz sinusoidal motion, the delay in the acceleration estimate is between 4 and 5 time steps, or about 16 • phase.…”
Section: Robustness To Time Delay In the Exoskeleton Control And Othementioning
confidence: 99%
“…A solution adopted in practice is to differentiate numerically the position signal. However, simple numerical differential may be inadequate for low and high speeds [29].…”
Section: Synthetic Velocity Controller: Primary Loopmentioning
confidence: 99%
“…and Eqs (27)-(29),. it is easy to see that the closedloop system equation(32)is also obtained by substituting the controller equation(57)into the experimental robot model (43).We have implemented the new joint velocity controller (57)-(58) together with filter (15)-(16) with gains…”
mentioning
confidence: 99%
“…This particular filter models the acceleration (if only velocity is supposed to be estimated) as being driven by a white noise [25] (later will be considered as the process noise in the Kalman filtering formulation). The overall noise of measurement is also considered as a white noise.…”
Section: Velocity Estimationmentioning
confidence: 99%