Title :
Sensing strategies for a flexible manipulator
Author :
Li, Y.F. ; Wang, G.L.
Author_Institution :
Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Kowloon, Hong Kong
fDate :
6/1/2000 12:00:00 AM
Abstract :
In this paper, we investigate the combination schemes using multisensors for Kalman filtering for modal estimation of a flexible manipulator. In addition to observability, the performance indices regarding the global estimation error covariance, the sensitivity to the initial estimate errors, and the robustness to the round-off errors of the relative noise intensity between process and measurements, are utilized to evaluate the quality of the Kalman filters. The aim is to identify well-conditioned multisensor combinations for which Kalman filters can achieve a specified level of design performance. Case studies for the assessment of the multisensor combination schemes are carried out for Kalman filters with various relative noise intensities. The useful guidelines for achieving the well-conditioned combinations of multisensors are presented
Keywords :
Kalman filters; covariance matrices; flexible manipulators; modal analysis; observability; performance index; robust control; roundoff errors; sensor fusion; state estimation; state feedback; Kalman filtering; design performance; flexible arm; flexible manipulator; global estimation error covariance; initial estimate error sensitivity; modal estimation; multisensor combination schemes; observability; performance indices; relative noise intensity; robustness to round-off errors; sensing strategies; state estimation; state feedback; well-conditioned sensor combinations; Estimation error; Filtering; Guidelines; Kalman filters; Noise measurement; Noise robustness; Observability; Roundoff errors; State estimation; State feedback;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on