The Study of Locomotion of Small Wheeled Rovers: The MIDD Activity

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The Study of Locomotion of Small Wheeled Rovers: The MIDD Activity L. Richter 1, M.C. Bernasconi 2, P. Coste 3 1: Institute of Space Simulation, D-51170 Cologne, Germany 2: Contraves Space, CH-8052 Zurich, Switzerland 3: ESA-ESTEC TOS-MMM, NL-2200 Noordwijk AG, The Netherlands

On-going technology development within ESA TRP: several technology development activities for small vehicles for planetary surface mobility one of these: MIDD (Mobile Instrument Deployment Device): mechanical components for small wheeled devices, and the study of general planetary surface locomotion problems: how can tractive performance reliably be predicted, taking into account available data on planetary soils and the gravity level? how can rover chassis be sized to account for rock distributions in the terrain? following development & environmental testing (dust, temperature, vacuum) of critical drive train mechanisms ( 96-97 timeframe), MIDD has produced: tractive theory for small wheels as well as the system design & BB model of a small 4- wheeler for a Mars reference application, to be used for systemlevel locomotion investigations

MIDD reference scenario short range (a few 10 s of m), tethered mobile platform for deployment of surface and subsurface instruments and subsurface sampling equipment ( Mole ) on Mars; overall mass including instrumentation: 4 kg MIDD to carry 2 spectrometers for rock & soil studies close-up imager for rock studies dust removal device to support rock studies self-penetrating subsurface sampler ( Mole ) for acquisition of soil samples and transfer to lander corresponding vehicle system design - utilizing the previously developed component technologies - based on: instrument accommodation, planetary surface properties, theory for predicting tractive performance of small wheels

Surface properties: rock distributi- on 3.50 3.00 Observed rock separations for Moon & Mars (Moon: LUNOKHOD observations; Mars: VL-2 site, being rockier than 95 % of Martian surface) 2.50 2.00 Lunar, type A Mars, VL-2 1.50 1.00 0.50 0.00 5 7 9 11 13 15 17 19 21 23 25 Rock size D [cm]

Surface properties: soil Martian soil mechanical simulant at : n [-] Determined mechanical parameters relevant for tractive predictions: P arameter k ϕ [Nm -(n+2) ] k c [Nm -(n+1) ] V al ue 0.8 1.804*10 5 5.788*10 3 c [Pa] 441 φ [ ] 17.8 K [mm] 0.33 ρ [gcm -3 ] 1.5 100 90 80 70 60 50 40 30 20 10 0 0.10 1.00 10.00 100.00 1000.00 10000.00 Grain size [µm]

Mean straight path for given chassis (ground clearance, number of axles, axle articulation, wheel diameter) and given rock distribution: Mean Straight Path (MSP) that can be driven before an insurmountable rock is encountered for a given rock distribution, required MSP linked to: specified total vehicle path length and mission duration (thus to mean motion speed in the terrain) degree of vehicle intelligence for autonomous obstacle avoidance frequency of communication links to Earth required for commanded obstacle avoidance the shorter the required MSP, the more simple (and more lightweight!) the chassis can be mobile device for Mars with mission duration of 90 days and one communications session with Earth per 24 h, with required total driven distance of 50 m and no autonomous obstacle avoidance: MSP of only 40 60 cm required

MIDD chassis layout sized to offer MSP of 50 cm in VL-2 rock distribution chassis: 4 rigid wheels with rigid suspension front wheels on articulated levers for instrument pointing, stowage, vehicle re-righting skid-steering motion speed 1 mm/s wheel dimensions: ø 160 mm, b=22 mm stowage envelope: 350 mm L x 260 mm W x 380 mm height wheels and front wheel levers individually driven by brushless DC motors central thermal enclosure for protecting electronics and drives from ambient temperature cycles ( -80 C/0 C) tether link to lander for power supply and communications: flex circuit segments, extracted through vehicle motion

Vehicle configuration & articulation

Chassis detailed design mechanism technology based on Study s Slice I ( 96-97) which had involved Thermal Vacuum testing & dust sealing tests (simulated airborne fines of Martian atmosphere)

Wheel performance verification key performance parameters: sinkage rolling resistance gross pull vs. slip skid behavior Testing of MIDD wheel in soil channel performance is verified by single wheel testing in a soil channel at at representative wheel loading in soil simulant strength of soil simulant: dependence on gravity is predictable, but small (due to fine-grained clay/silt-like material) test data compared to predictions using theory for small wheels & small wheel loads

Predicted vehicle performance under Martian gravity using the developed, experimentally verified tractive theory for small wheels, slope climbing capability of the vehicle - with all four wheels driven - is predicted on Martian soil at Mars gravity, for different vehicle masses: Effect of gravity on soil neglected Effect of gravity on soil taken into account 25 20 18 20 16 Max. negotiable slope on Mars soil [ ] 15 10 5 M=3.2 kg M=4.5 kg M=6.5 kg Max. negotiable slope on Mars soil [ ] 14 12 10 8 6 4 M=3.2 kg M=4.5 kg M=6.5 kg 2 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Wheel slip i* [-] 0.8 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 Wheel slip i* [-] performance can be further enhanced by: higher wheel grousers; introduction of flexible wheels

Conclusions experimentally validated tractive theory for small wheeled planetary vehicles has been developed tractive performance of small wheels at small wheel loads can be reliably predicted the effect of gravity on the soil material can be predicted chassis sizing for a given terrain (soil properties & rock distribution, gravity level) and given mission requirements can be rationally performed by applying the developed tractive theory specification of an appropriate Mean Straight Path MIDD BB model serves as testbed for system-level locomotion testing and as a viable example of a short-range mobile device for in-situ measurements on planetary surface and subsurface materials and for subsurface sampling