Application of an Optimization-based Design Process for Robust Autoland Control Laws

Abstract The design of a robust autoland con-troller using an optimization based design process is described. A modular controller architecture is de-veloped rst. Inner loops are based on Dynamic In-version, speed and longitudinal path tracking loops are based on the Total Energy Control System. Functions for lateral path tracking, ILS guidance, are and runway alignment are based on classical PID structures. The free parameters in the con-troller functions are tuned using multi-objective op-timization. Performance criteria are directly derived from the imposed design requirements and com-puted from linear or nonlinear analysis (e.g. eigen-values, simulations). Robustness is addressed via a multi-model approach, via optimization criteria (e.g. gain/phase margins), and, as a new contribution, via statistical criteria computed from on-line Monte-Carlo analysis. The design process and selected ar-chitecture have been applied to a wide-body as well as a small passenger aircraft to demonstrate con-troller robustness and eÆciency of the process. In both cases, JAR-AWO specications had to be met