Title :
Learning more frequency components using P-type ILC with negative learning gain
Author :
Ye, Yongqiang ; Wang, Danwei
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
4/1/2006 12:00:00 AM
Abstract :
In this paper, through the analysis on error contraction conditions in the frequency domain, it is found that a negative learning gain can be used in iterative learning control (ILC). The proper use of negative learning gain can increase the learnable frequency range. The conventional P-type learning control with both positive and negative gains is used over multichannel learnable bands. The design procedure is demonstrated via an example of robot joint control. Two channels, one uses a positive learning gain and the other a negative learning gain, substantially increase the frequency components to be learned by the P-type controller. Experimental results verify the effectiveness of using a negative learning gain.
Keywords :
adaptive control; control system analysis; frequency-domain analysis; iterative methods; learning systems; robots; P-type ILC; error contraction condition; frequency components; frequency domain analysis; iterative learning control; multichannel learnable band; negative learning gain; positive learning gain; robot joint control; Error analysis; Error correction; Frequency domain analysis; Hardware; Internet; Manipulators; Robot control; Steady-state; Transfer functions; Uncertainty; Frequency-domain analysis; learning-control systems;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2006.870881