document title / titre du document TRP W ORK PLAN ... - emits - ESA

TRP Work Plan 2005-2007
Description of Activities
TEC-SB/7935/dc
12/Feb/09
TRP Reference:
Title:
T603-03ES
Robust LPV Gain Scheduling Techniques for Space Applications
Gain-scheduling is perhaps one of the most popular approaches to non-linear control design and has been widely and
successfully applied in fields ranging from aerospace to process control. The traditional control design procedure consists of
decomposing a non-linear time-varying problem into a number (operating conditions) of linear time invariant sub-problems. To
verify that the closed-loop system behaves as expected and required between the operating conditions, extensive simulations
and analysis are needed. A recent gain scheduling method, so-called Linear Parameter Varying (LPV) technique, address the
issue of system parametrisation and directly offer an optimal solution. As the intermediate step of linearization and stationary
control design is suppressed, the design verification effort is drastically reduced. The aim of the proposed activity is to
evaluate, benchmark and demonstrate the benefits in validation effort of LPV gain scheduling techniques when applied to the
design of robust controllers for uncertain time-varying systems. In addition, robust LPV-based controller design procedures
and tool(s) that interface with industrial requirements will be developed. The expected benefits is a drastic reduction in control
design verification effort for non-linear time-varying systems.
Deliverables:
Robust LPV gain-scheduled control design toolbox including benchmark models and documentation (technical data package,
summary report and abstract).
Current TRL:
Target TRL: Beta Application Need/Date:
-
version
Application/Mission: all missions Contract Duration: 24 months
SW Clause : Open Source Code Dossier0 Ref.: T-7817
Consistency with Harmonisation
Roadmap: N/A
Roadmap and Conclusions:
TRP Reference: T603-04ES
Title:
Robust Model Predictive Control (MPC) for Space Constrained Systems
Model Predictive Control (MPC) is a widely used and well accepted controller design method in the process industry. The
most appealing feature of this type of control is its ability to cope with constrained systems. Robust formulation of MPC
problems which take into account model uncertainties are also available, and are subject of intensive current research.
Furthermore, MPC can be combined with other control techniques such as H2/Hinfinity. Finally, the dramatically increasing
available computer power give new interest in such computer intensive techniques as they can easily take into account
actuator limitations, non-linearities or non-stationarity. The aim of the proposed activity is to evaluate, benchmark and
demonstrate the benefits of robust Model Predictive Control on critical space mission scenarios, such as time-bounded
manoeuvres, saturated control and terminal guidance that are difficult to address with classical techniques. In addition,
real-time performance (CPU, memory, etc.) will be assessed, and robust MPC design procedures and tool(s) that interface
with industrial requirements will be developed.
Deliverables:
Robust MPC control design toolbox including benchmark models and documentation (technical data package, summary
report, and abstract).
Current TRL:
Target TRL: Beta Application Need/Date:
TRL1
version
Application/Mission: all missions Contract Duration: 24 months
SW Clause : Operational SW Dossier0 Ref.: T-7817
Consistency with Harmonisation
Not directly linked to harmonised technology.
Roadmap and Conclusions:
Page 152 of 227