Nano-to-micro integrated nonlinear components for smart autonomous aerospace systems
International Nanobiological Testbed
(INT)
via A. Zotti 86, I-00121 Rome, Italy
e-mail intitsnt@uni.net
"Why can't we put spacecraft electronics on a chip? Perhaps we
could use next gen-
eration materials. We could have smart structures. We could make spacecraft
adaptive
and autonomous, just like the human body, so we do not need hundreds of
people on the
ground
watching dials and turning knobs. Advanced expert decision making tools along
Daniel Goldin
The technical limitations and costs
of the classical methods for periodical maintenance of aerospace structures and
for their control and performance, e.g. in the case of space missions which
require a large human involvement, have made the "smart autonomous
materials and systems" to appear as a promising concept. Moreover, in
recent congresses the concept of a biomimicry-inspired technology has been
advanced for realization of biomimetic chains of
sensing - information processing -
actuating
which fully embody the concepts of "smartness"
and "autonomy", either related to materials or to systems.
Especially in the case of space exploration missions, extreme miniaturization
has been promoted, mainly through the development of MicroElectroMechanical
Systems (MEMSs) for decreasing the costs of probe launching, as
mass and volume both scale as the third power of system size. This paper is
devoted to show that nano-to-micro integrated systems, i.e. those featuring
integration of the mesoscopic world with the macrophysical world, can be
proposed to increase miniaturization and reach at least a quasi-biomimetic
behaviour and even high-level biomimicry capabilities in information processing.
The current efforts, concerning many usual materials and devices, for
macroscopic level systems can be re-addressed toward a general nano-to-micro
integration philosophy involving not only nano-MEMSs, but also
material systems and devices other than micromechanical, i.e. electronic,
optical and chemical. First the concept of "smartness" is
analyzed, and the basic principles for nanostructured components of various
nature to feature nonlinear, Hamiltonian and dissipative
behaviour as computing elements according to proper design along the
theoretical lines formulated recently are discussed. The problems met with in
connecting mesoscopic to macroscopic physics for electronic nano-to-micro
integration are then tackled; the novel architectures envisageable for
nanostructured solid-state or molecular electronic systems and
for sensing - data processing - actuating networks of a general kind are
explored, mainly with reference to new aerospace applications, i.e. to the
assembling or the inclusion, already in the manufacturing process, of nanostructured
smart systems into macroscopic
members like preforms, prepregs, woven fabric, pultrusions, filament windings,
embedded optical fibres, electroactive polymers, fullerene fibres etc. for
active health monitoring, self-healing and active flight-control. Accordingly,
smart multifunctional composites would be obtained, e.g. like an active,
unidirectional-actuation 4-component laminate made up of 1) carbon fibre
reinforced plastic containing multiply fractured optical fibres as the
"nerves" and working as "bone" and "blood
vessels", 2) an insulator epoxy resin, 3) aluminum as a
"muscle", and 4) an electrode. It is argued that this
nanobiomimetic technology means the bringing together of logic, physics and mechanical
engineering, and a logic embodied through a hyper-interspersed nano/micro
architecture is proposed,
consisting of a peripheral
autonomous level (e.g., a smart skin) made up of subsystems working
on and interacting with the external reality just locally, in addition
to a global action/motion level system depending on instructions
controlled by a central unit. Small-size, finely interspersed
sensor-processor-actuator units like thin film or microvolume bulk components,
devices or systems, working e.g. on nonlinear/chaotic reaction-diffusion
ongoings on artificial membranes, are shown to satisfy the requisites for a
software capable of learning, as opposed to the rigid logic connections of
standard hardware, and to give the possibility of processing signals from the
environment without transforming them into a discrete form, i.e. into binary or
ternary digits. Accordingly, the hyper-interspersed architecture, which is
discussed through a "device - function" block diagram, is
thought of as made up of single primitive computing units of
nonlinear/chaotic and quantum holographic nature, characterized by specific
transfer functions, interconnected into non-discrete pseudo-analogue networks
performing computations decidedly different both from the digital and the
analogue kind because their complex logic operations occur through energy
pattern connections for recognition, decision making, learning, keeping
attention, and computations involving both random and deterministic dynamics in
a function dubbed "intermixing layer. Turning to a system-level
overview, it is remarked that 1) the biomimicry-inspired nonlinear
nanoscale-level energy/information relationships show an inter-dependence and
inter-supplementability of the nondiscrete pseudoanalogue components and
devices in the whole hardware/software system, from the mesoscopic up to the
macroscopic scale; stated otherwise, computer function and its physical
implementation may be closely connected throughout the whole hierarchy as a
result of connection on the molecular level, against the current central
paradigm of computer science, according to which computer concepts are
independent of their physical realisations; 2) accordingly, the
design should go "top-down" (i.e. from setting forth the
system requirements down to the design of necessary subsystems, devices and
components) as opposed to the current "bottom-up" approach,
going the other way round; 3) compartmentalization down to the nanoscale level
gives smartness as well as the mechanical strength and robustness necessary for
the energy harvesting from the environment and the active shape
control for flight, i.e. for two much eagerly sought after objectives for
the next generations of flying systems.
© 1995-2008 Kazan State University