Journals / Turkish Journal of Engineering and Environmental Sciences / 1999 / Cilt: 23 - Sayı: 3
Gain Scheduling Adaptive Model Control
- Pages
- 209–218
- DOI
- —
Abstract
Adaptive Model Control (AMC) is an adaptive control methodology that makes use of FIR (Finite Impulse Response) adaptive modeling and that requires a minimum of a priori knowledge about the plant to be controlled. The control relies on the inversion of the adaptively obtained model. In this work, a Gain Scheduling version of this methodology is proposed and tested on the simulated pitch dynamics of the A-4D aircraft, which is a time varying plant. The proposed system is formed by combining the Adaptive Model Control system with a learning algorithm that learns and stores the AMC weight vectors under various operating conditions in a ``gain scheduling matrix''.
Özet
Adaptive Model Control (AMC) is an adaptive control methodology that makes use of FIR (Finite Impulse Response) adaptive modeling and that requires a minimum of a priori knowledge about the plant to be controlled. The control relies on the inversion of the adaptively obtained model. In this work, a Gain Scheduling version of this methodology is proposed and tested on the simulated pitch dynamics of the A-4D aircraft, which is a time varying plant. The proposed system is formed by combining the Adaptive Model Control system with a learning algorithm that learns and stores the AMC weight vectors under various operating conditions in a ``gain scheduling matrix''.