DocumentCode :
2178839
Title :
Intelligent model reference adaptive control applied to motion control
Author :
Rehm, Tom ; Schmidt, Peter
Author_Institution :
Allen-Bradley Co., Mequon, WI, USA
Volume :
2
fYear :
1995
fDate :
8-12 Oct 1995
Firstpage :
1605
Abstract :
This paper describes work that was performed in the area of model reference adaptive control applied to a motion control example. The MIT rule was applied to estimating plant inertia. The inertia parameter allows feedforward and feedback gains to be optimally tuned. The command jerk, the second derivative of the velocity was utilized in forming the inertia estimate
Keywords :
control system analysis; control system synthesis; feedback; feedforward; intelligent control; model reference adaptive control systems; motion control; parameter estimation; MIT rule; command jerk; control design; control simulation; feedback gains; feedforward gains; inertia parameter; intelligent model reference adaptive control; motion control; optimal tuning; plant inertia estimation; sensitivity; Adaptive control; Control systems; Equations; Feeds; Milling machines; Motion control; Process control; Stability; Steel; Temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE
Conference_Location :
Orlando, FL
ISSN :
0197-2618
Print_ISBN :
0-7803-3008-0
Type :
conf
DOI :
10.1109/IAS.1995.530496
Filename :
530496
Link To Document :
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