Title :
Feedforward control for disturbance rejection: Model matching and other methods
Author :
Zhong, Hua ; Pao, Lucy ; De Callafon, Raymond
Author_Institution :
Univ. of Colorado Boulder, Boulder, CO, USA
Abstract :
Feedforward control can improve disturbance rejection performance of a system when the measurement of the disturbance is available. This paper discusses the design of feedforward control in the discrete-time domain using the model matching methods that compute optimal and stable feedforward controllers. It is shown that the existence of a non-zero solution to the model matching problem depends on the difference between the relative degrees of the plant dynamics and the disturbance dynamics. A number of approximate dynamic inversion techniques commonly used for feedforward control design are reviewed and compared with the model matching methods. These feedforward control design methods are then applied to the application of an example tape head track-following servo system where the feedforward controller aims at reducing the position error caused by the lateral tape motion. Simulation results are presented to demonstrate the effectiveness of the feedforward control.
Keywords :
control system synthesis; discrete time systems; feedforward; discrete-time domain; disturbance rejection; dynamic inversion technique approximation; feedforward control design; head track following servo system; model matching; optimal feedforward controllers; plant dynamics; stable feedforward controllers; Approximation methods; Computational modeling; Delay; Dynamics; Feedforward neural networks; Tracking; Transfer functions; Feedforward Control; Model Matching; Tape Storage;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244565