๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Adaptive feedforward control of non-minimum phase structural systems

โœ Scribed by J.S. Vipperman; R.A. Burdisso


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
583 KB
Volume
183
Category
Article
ISSN
0022-460X

No coin nor oath required. For personal study only.

โœฆ Synopsis


Adaptive feedforward control algorithms have been effectively applied to stationary disturbance rejection. For structural systems, the ideal feedforward compensator is a recursive filter which is a function of the transfer functions between the disturbance and control inputs and the error sensor output. Unfortunately, most control configurations result in a non-minimum phase control path; even a collocated control actuator and error sensor will not necessarily produce a minimum phase control path in the discrete domain. Therefore, the common practice is to choose a suitable approximation of the ideal compensator. In particular, all-zero finite impulse response (FIR) filters are desirable because of their inherent stability for adaptive control approaches. However, for highly resonant systems, large order filters are required for broadband applications. In this work, a control configuration is investigated for controlling non-minimum phase lightly damped structural systems. The control approach uses low order FIR filters as feedforward compensators in a configuration that has one more control actuator than error sensors. The performance of the controller was experimentally evaluated on a simply supported plate under white noise excitation for a two-input, one-output (2I1O) system. The results show excellent error signal reduction, attesting to the effectiveness of the method.


๐Ÿ“œ SIMILAR VOLUMES


ROBUST ADAPTIVE CONTROL OF MINIMUM PHASE
โœ TOR A. JOHANSEN; PETROS A. IOANNOU ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 880 KB

We show that an adaptive input/output feedback linearization control scheme for minimum phase nonlinear systems is robust with respect to unstructured plant uncertainties such as unmodelled dynamics and disturbances provided that the adaptive law is modified in the same fashion as for linear systems

Stochastic adaptive control of a class o
โœ C. Y. Chan; H. R. Sirisena ๐Ÿ“‚ Article ๐Ÿ“… 1989 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 299 KB

This paper presents a computationally efficient pole-zero placement adaptive controller for linear discrete stochastic systems with coloured noise. The systems are assumed to be open-loop stable, but not necessarily minimum phase. It is shown that the algorithm asymptotically achieves the required p