Title :
Real time identification of robot dynamic parameters using parallel processing. 2. Implementation and testing
Author :
Temeltas, H. ; Asher, G.M.
Author_Institution :
Dept. of Electr. & Electron. Eng., Nottingham Univ., UK
fDate :
7/1/1995 12:00:00 AM
Abstract :
The paper implements and demonstrates a parallel recursive estimator for the real-time identification of dynamic parameters for a general n-link high performance robot. The implementation entails the use of a parallel processor platform which includes the real-time simulation of the forward dynamics of the robot. The parallel estimator is first tested for parameter convergence using PBRS test signals and then tested in a closed loop robot control environment. A case study is presented showing the real-time convergence of the dynamic parameters following the application of a payload
Keywords :
closed loop systems; control system analysis computing; convergence; digital simulation; parallel processing; parameter estimation; real-time systems; robot dynamics; testing; closed loop control; convergence; forward dynamics; identification; multiple link robot; parallel processing; parallel recursive estimator; parameter convergence; parameter estimation; real-time simulation; robot dynamic;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:19951972