Handling actuator magnitude and rate saturation in uncertain over-actuated systems: A modified projection algorithm approach

TL;DR

This paper introduces a modified projection algorithm that enables adaptive control allocators to effectively handle both actuator magnitude and rate saturation constraints in uncertain over-actuated systems, ensuring performance guarantees.

Contribution

A novel projection algorithm is developed to incorporate both magnitude and rate saturation constraints into adaptive control allocators for uncertain systems.

Findings

The proposed algorithm effectively bounds actuator signals in simulations.

Performance guarantees are established through rigorous analysis.

Simulation with ADMIRE demonstrates improved control allocation under constraints.

Abstract

This paper proposes a projection algorithm which can be employed to bound actuator signals, in terms of both magnitude and rate, for uncertain systems with redundant actuators. The investigated closed loop control system is assumed to contain an adaptive control allocator to distribute the total control input among actuators. Although conventional control allocation methods can handle actuator rate and magnitude constraints, they cannot consider actuator uncertainty. On the other hand, adaptive allocators manage uncertainty and actuator magnitude limits. The proposed projection algorithm enables adaptive control allocators to handle both magnitude and rate saturation constraints. A mathematically rigorous analysis is provided to show that with the help of the proposed projection algorithm, the performance of the adaptive control allocator can be guaranteed, in terms of error bounds. Simulation results are presented, where the Aero-Data Model In Research Environment (ADMIRE) is used as an over-actuated system, to demonstrate the effectiveness of the proposed method.