An Event-Triggered Predictive Controller for Spacecraft Rendezvous Hovering Phases

Sanchez, Julio C.; Louembet, Christophe; Gavilan, Francisco; Vázquez, Rafael

doi:10.1016/j.ifacol.2019.11.076

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…In this section the idea of Reachable Sets (RS) and their analysis (Reachability Analysis, RA) is introduced, as well as their relationship with control and estimation of systems. The technique has been used, for instance, in the context of rendezvous of spacecraft (Sanchez et al, 2019), and has many applications in the area of safety for trajectories of vehicles (Xu et al, 2019). This background material constitutes the foundational framework for Section 5.…”

Section: Reachability Analysismentioning

confidence: 99%

Manoeuvre detection in Low Earth Orbit with Radar Data

Montilla¹,

Sanchez²,

Vázquez³

et al. 2022

Preprint

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This work outlines and assesses several methods for the detection of manoeuvres in Low Earth Orbit (LEO) from surveillance radar data. To be able to detect manoeuvres, the main starting assumption is that the object under analysis has an orbit known with a sufficient degree of precision. Based on the precise (a posteriori) orbit and radar data, several manoeuvre detection methods are presented; one is based on unscented Kalman filtering, whereas two others algorithms are based on reachability analysis of the state, which correlates its prediction set with the next track from the radar. The filtering algorithm can be extended for several radar tracks, whereas the reachability-based methods are more precise in detecting manoeuvres. Then, to inherit the best properties of both classes of algorithms, a manoeuvre detection filter that combines both concepts is finally presented. Manoeuvre detection results are presented first for simulated scenarios-for validation and calibration purposes-and later for real data. Radar information comes from the Spanish Space Surveillance Radar (S3TSR), with real manoeuvre information and high-quality ephemerides. The results show promise, taking into account that a single surveillance radar is the only source of data, obtaining manoeuvre detection rates of more than 50% and false positive rates of less than 10%.

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Section: Reachability Analysismentioning

confidence: 99%

Manoeuvre detection in Low Earth Orbit with Radar Data

Montilla¹,

Sanchez²,

Vázquez³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Hence, the combination of an event-triggered strategy and MPC named event-triggered MPC (EMPC) has the potential to reduce the frequency of solving optimization problems and save system resources without affecting control performances. Based on the above advantages, great attention has been paid to studying event-triggered strategies and various interesting results for EMPC are reported; for example, work [14] has studied an EMPC strategy for continuous-time nonlinear systems, and an event-triggered condition has been designed by measuring errors between the tracking outputs and the reference; work [15] has proposed a new aperiodic formulation of MPC for nonlinear systems and some new event-triggered conditions has been provided in which the optimal cost is not used as the Lyapunov function candidate; work [16] has proposed a robust EMPC scheme for linear time-invariant discrete-time systems by designing an event condition based on a given probability distribution of disturbances acting on the system; work [17] has proposed an adaptive threshold-based event-triggered mechanism that dynamically determines the triggering time based on real-time performance of tracking; The article [18] has designed a local controller based on the principle of event triggering, utilizing asynchronous impact control to develop a predictive controller. However, one may notice that the aero-engine model was always rarely mentioned as a complex control model, and it still lacks an effective EMPC algorithm to be applied to the control of aero-engines, which is still a challenging open issue [19] .…”

Section: Introductionmentioning

confidence: 99%

Event-triggered model predictive tracking control of aero-engine with varying prediction horizon

Peng,

Xu,

et al. 2023

Complex Engineering Systems

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Aero-engine is a complex thermal-mechanical system with strong nonlinearity, uncertainty, and time variation. Thus, it is crucial to design an effective controller for such a complex system to obtain the desired performances of the aero-engine. In recent years, model predictive control (MPC) has shown great potential in dealing with control problems with complex constraints of multi-variable systems, which has been applied to aero-engine control, achieving good results. Furthermore, the MPC strategy using an event-driven mechanism is good at balancing system resources and ensuring system control performances. In this paper, the problem of event-triggered MPC for aero-engine systems with bounded disturbances is studied. Firstly, an event-triggered strategy with a dynamic forced-trigger mechanism is proposed. Then, an MPC algorithm based on an event-triggered mechanism is designed. Finally, an application to the JT9D aero-engine model provided by T-MATS verifies the effectiveness of the designed algorithm. It is shown that the calculation load is significantly reduced, which proves the superiority of this method.

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