Space and Precision Automatics
Web site: http://staff.polito.it/enrico.canuto/
Research activity
- Methodology
- Embedded Model Control, a model based end-to-end procedure to design, implement and commissioning complex control systems
- Precision automatics: automation of scientific instruments and space prototypes
- the ‘Nanobalance’ thrust-stand capable of measuring sub-micronewton thrust in view of space qualification of electrical and cold-gas micro-thusters (the instrument, funded by the European Space Agency, is operating at Thales Alenia Space Italia labs, Turin, Italy)
- optical interferometry: reference cavities, metrology lines
- fine thermal multi-layer control of optical reference cavities
- Space automatics: spacecraft and landing vehicle control
- study and simulation of aerodynamic guided entry and precision landing of space vehicles on Mars (Thales Alenia Space, Regione Piemonte project STEPS, European mission EXOMARS)
- study and design of the formation, drag-free and attitude control of next generation Earth gravity monitoring missions made spacecraft formations (European Space Agency)
- drag-free and attitude control of the GOCE European satellite(Gravity field and Steady state Ocean Circulation Explorer): launched in spring 2009 and in operation
- Elaborazione dati di missioni spaziali scientifiche:
- nel passato missione astrometrica HIPPARCOS (100000 stelle)
- a breve la missione GAIA (1 miliardo di stelle)
- Digital control of industrial plants and devices
- hierarchical control of mobile hydraulics
- digital control of proportional electro-valves
Main theoretical results
Embedded Model Control
End-to-end methodology aiming at an axiomatic and coherent modelling, simulation, design commissioning and setup of complex digital control systems.
The principles are:
- the embedded model (plant and environment) is a set of discrete-time state equations real-time updated in parallel to the plant, driven by the same plant command and providing the same plant measures
- the model error, i.e. the difference between plant and model measures, is the unique source for reducing plant-to-model discrepancy
- the digital control is built around the embedded model as the ensemble of three feedback algorithms:
- Digital control of industrial plants and devices
- reference generator (operator-to-model feedback)
- noise estimator (plant-to-model feedback)
- control law (model-to-plant feedback)
- the noise estimator is the plant-to-model interface spilling the useful innovation for model updating
- the reference generator matches operator requests to model capabilities
- the control law is only driven by the embedded model
Main application results / trasferimento tecnologico
Embedded Model Control applications
- formation, drag-free and attitude control of scientific satellites (GOCE, next generation gravity monitoring)
- guidance, navigation and control of landing vehicles (under study)
- laser interferometry: metrology lines, interferometric thrust-stand (Nanobalance)
- mechatronics: vibration suppression of suspended optical cavities, tilt control of scientific instruments
- fine thermodinamics: optical reference cavities
- electro-hydraulics: proportional valves, mobile hydraulics through variable-flow pumps
Principali iniziative
- Ph.D. course on Embedded Model Control
- Workshop on Space and precision automation: sub-atomic precision for the Galaxy observation ( Politecnico di Torino, 2004 ).
- Workshop on Automatic Control: from Earth to Heaven, FIAT Research Centre and Thales Alenia Space meet students. Ground and space vehicle active control: state of the art, future and study subjects. (Politecnico di Torino, January 18, 2008)
- Workshop on Uncertainty and complexity: from Earth to Heaven, in honor of Francesco Donati (Politecnico di Torino, May 29, 2009)
- Workshop on Embedded Model Control and mobile hydraulics with Case New Holland and FIAT Research Centre (Politecnico di Torino, October 27, 2009)
Research projects and contracts
Research staff