This talk addresses the design of dynamic allocation functions for systems with saturating actuators. The allocator can redistribute the desired control effort within the multiple actuators by penalizing each actuator to be more or less used, while also taking into account a criterium for minimization of their total energy consump- tion over time. Anti-windup gains are added to both the controller and the dynamic allocator to deal with the saturation condition. Convex conditions for the co-design of both the dynamic allocator and anti-windup gains are expressed in the form of linear matrix inequalities (LMIs). Such conditions allow to deal with the multiple objective problems of enlarging the estimates of the basin of attraction and minimizing the total energy consumption of the actuators. Some examples illustrate the proposed technique.
Co-Design of Dynamic Allocation Functions and Anti-Windup*
Sophie Tarbouriech, CNRSAuthors: Joint work with Thiago A. Lima - Paper published in IEEE-LCSS 2021
2022 AWM Research Symposium
Systems and Control