Title :
Fractional order adaptive feedforward cancellation
Author :
Ying Luo ; YangQuan Chen ; YouGuo Pi
Author_Institution :
Dept. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
fDate :
June 29 2011-July 1 2011
Abstract :
In this paper, a fractional order adaptive feedforward cancellation (FO-AFC) scheme is proposed to cancel the periodic disturbance. This FO-AFC offers one more tuning knob the fractional order, for the performance improvement of the periodic disturbance cancellation, according to the interests of the users. The equivalence of fractional order internal model principle (FO-IMP) scheme is derived for FO-AFC. So, the FO-IMP equivalence can be used to analyze the performance of the cancellation for the target periodic disturbance and the suppression for the harmonics and noise. Two FO-AFC cases, fractional order α ∈ (0,1) and α ∈ (1,2), are discussed for the performance analysis, respectively. FO-AFC with additional tuning knob α ∈ (0, 2) has many advantages, and is much more flexible over the integer order adaptive feedforward cancellation (IO-AFC) with only α = 1. Simulation results are presented to validate the performance analysis of FO-AFC comparing with IO-AFC.
Keywords :
adaptive control; feedforward; fractional order adaptive feedforward cancellation; fractional order internal model principle; harmonics suppression; noise suppression; periodic disturbance cancellation; tuning knob; Adaptation models; Feedforward neural networks; Harmonic analysis; Noise; Sensitivity; Tuning; Fractional order calculus; fractional order adaptive feedforward cancellation; fractional order internal model principle; periodic disturbance;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991265