Flexible Launch Vehicle Control Using Robust Observer-Based Controller Obtained through Structured H  ∞  Synthesis

Abstract

Abstract. Control of a flexible launch vehicle in the atmospheric ascent phase is highly challenging as it involves multiple concurrent design requirements. This ranges from reduction of the angle of attack in face of wind, minimum gain-phase and parametric margins as well as flexible modes attenuation. In this work, we discuss recently available non-smooth optimization techniques as a central tool to solve this problem. We consider designing an observer-based controller based on a Kalman filter suitably augmented with Dryden wind dynamics. We suggest a nonconservative approach to handle model uncertainties based upon multiple models of the launcher. This preliminary work aims at testing the potential of non-smooth controller tuning on a generic launcher model. It will serve as a stepping stone for a more in-depth study of the benchmark developed by M. Ganet at Airbus Defence and Space.

Observer-based control for a singular Markovian jumping system

“…Therefore, a controller design that does not require complete access to the state vector is desirable. That is why observer-based control problems as well as observer design problems, which are involved with using the available information on inputs and outputs to reconstruct the unmeasured states of the concerned system, have been wide investigated in many practical applications (Mahmud et al , 2012; Zhang et al , 2013; Hamelin et al , 2014; Yao et al , 2014; Chambon et al , 2015). However, only a few works have been carried out on singular systems (Dai, 1988; Liu et al , 2012; Darouach, 2014; Hassan et al , 2014), not to mention on the ones simultaneously considering Markovian jumping cases (Boukas and Xia, 2008; Yao et al , 2014; Bo and Wang, 2014; Wang et al , 2015).…”

An Observer-Based Controller Design for a Markovian Jumping Singular System with Polytopic Uncertainties

“…Therefore, a controller design that does not require complete access to the state vector is desirable. That is why observer-based control problems and observer design problems, which are involved with using the available information on inputs and outputs to reconstruct the unmeasured states of the concerned system, have been wide investigated in many practical applications (20)(21)(22) . However, only a few works have been carried out on singular systems (23,24) , not to mention on the ones simultaneously considering…”