Comprehensive System Identification of Ducted Fan UAVs - Cal Poly

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Commercial interest has also been seen by companies and organizations lookingfor stable camera and surveillance platforms. Bridge inspection, traffic monitoring, andsearch and rescue in hostile environments all can benefit from use of a small unmannedvehicle capable of hovering flight. A unique class of small rotorcraft UAVs (RUAVs)incorporating all of the characteristics yields a small design with certain designdifficulties. These RUAVs possess the problem of making a small-scale vehicleunmanned along with the inherently unstable nature of rotorcraft dynamics. The ductedfan RUAV design fulfills the collision and troop handling safety requirements. However,these ducted fans introduce a strong tendency to correct themselves in pitch and roll withlongitudinal and lateral velocity, respectively.These ducted fan RUAVs have low inertias with most of the weight near thecenter of the vehicle. Their small size and weight make for stringent volumetric and massrestrictions. This leads to lower performance subsystems, especially sensors andactuators. High degrees of cross coupling due to strong gyroscopic effects are created bythe fast spinning propellers. The unconventional designs that have little or no knowledgebase established make physics based modeling difficult 2 . Most RUAV types include theability for a wide range of scales to be produced. Because of the relative simplicity ofconstruction, bigger and smaller vehicles alike can be produced. Usually shorter designcycles due to limited funding and demanding project requirements leave these vehicles inneed of accurate models early in the design cycle. Flight vehicles are available very earlyin the design sequence and make for easier flight test based identification. Thesecharacteristics combine to mandate accurate dynamic models. This research work willfocus on the comprehensive identification of these models.- 2 -
The vehicles examined within the scope of this research are all very similar indesign in that they consist of mainly a ducted fan utilized for lift. The vehicles examinedare shown in Figures 1.2 – 1.5. Although the mission profiles for all of these vehiclesvaries greatly, the two smaller scale surveillance vehicles, the Kestrel and the i-StarMAV are most representative of future military operations on urbanized terrain (MOUT)applications.Figure 1.2 – Hiller Helicopters Flying Platform – 1958Figure 1.3 – Aerovironment / Honeywell DARPA Phase I OAV – 2001- 3 -
Page 1 and 2: Comprehensive System Identification
Page 3 and 4: APROVAL PAGETITLE:AUTHOR:Comprehens
Page 5 and 6: ACKNOWLEDGMENTSThe author would lik
Page 7 and 8: 3.4.4 Magnetometer Identification..
Page 9 and 10: LIST OF FIGURESFigure 1.1 - Land Wa
Page 11 and 12: Figure 3.48 - Magnetometer Depictio
Page 13: CHAPTER 1 - INTRODUCTION AND MOTIVA
Page 17 and 18: tunnel testing to study the charact
Page 19 and 20: Figure 1.8 - Helicopter Body Axes S
Page 21 and 22: GPSRate GyrosAccelerometersIMUInner
Page 23 and 24: CHAPTER 2 - METHODS AND TECHNIQUES2
Page 25 and 26: 2.2.1 Flight Test TechniquesThere a
Page 27 and 28: manufacturer specifications are mod
Page 29 and 30: 3.2 Bare-Airframe IDThe bare-airfra
Page 31 and 32: Table 3.2 - OAV Frequency Range of
Page 33 and 34: ⎧ p⎫⎪ ⎪y = ⎨q⎬⎪ r ⎪
Page 35 and 36: Table 3.4 - OAV DERIVID Identified
Page 37 and 38: The identified state-space model yi
Page 39 and 40: Better sensors, at higher sampling
Page 41 and 42: Figure 3.3 - Yaw response frequency
Page 43 and 44: Figure 3.4 shows that even though t
Page 45 and 46: It can be seen that the Aerovironme
Page 47 and 48: 3.2.2 Allied Aerospace MAVFlight te
Page 49 and 50: 30MAGNITUDE(DB)-10-50250PHASE(DEG)5
Page 51 and 52: A 0th/2nd order transfer function i
Page 53 and 54: Figure 3.12 shows the same for the
Page 55 and 56: Techsburg) the pitching moment resp
Page 57 and 58: Table 3.11 shows that all of the di
Page 59 and 60: Figure 3.14 shows how increasing th
Page 61 and 62: the duct, the effects of the man ne
Page 63 and 64: ft-lbMu PLATFORM= 5.11ftsecThis dim
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apparent that the size of the duct
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adequate way to characterize the di
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actuators varied in size, weight, c
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It is noticeable from the figure th
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Table 3.17 - Actuator Calibration F
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Figure 2.1 shows an example frequen
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The test matrix is provided as Tabl
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frequency response curves shown in
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Table 3.22 shows that for the first
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The time delays all seemed to be ar
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400035003000250020001500y = -13429x
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higher data rates, and tighter tole
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esponse and the response obtained f
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The time histories show that the ou
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Figure 3.31 - Magnitude Comparison
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Performing the frequency response a
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Results from STI utilizing the exac
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The fact that the rate saturated du
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Table 3.23 for the maximum rates an
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Verification of the identified mode
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from testing (3.22), it was found t
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3.4.1 Accelerometer IdentificationM
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Figure 3.43 shows that gyros were m
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5 meter circle centered about the t
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Figure 3.46 shows the modeled fluct
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Figure 3.49 - Pressure Altimeter Mo
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Figure 4.1 - Simulink MAV ModelFigu
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Figure 4.3 - Simulink Sweep Generat
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cause a pitching moment to be exert
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Figure 4.6 - Cross Control Decoupli
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⎡ Lp Lq Lr Lu Lv Lw0 0 0⎤⎢MpM
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It can be seen right away that the
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Figure 4.8 shows that the coherence
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CHAPTER 5 - CONCLUSIONSThe need for
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6. Mettler, B., Tischler, M. B., an
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Appendix AOAV Proposal VehicleIdent
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DS8417 - 5V- 125 -
Page 139 and 140:
HS512MG - 5V- 127 -
Page 141 and 142:
DS368 - 5V- 129 -
Page 143 and 144:
94091 - 5V- 131 -
Page 145 and 146:
CS-10BB - 5V- 133 -
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Appendix CActuator Generated Transf
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DS8417 - 100% - 5V- 137 -
Page 151 and 152:
DS8417 - 100% - 6V- 139 -
Page 153 and 154:
HS512MG - 100% - 5V- 141 -
Page 155 and 156:
HS512MG - 100% - 6V- 143 -
Page 157 and 158:
DS368 - 100% - 5V- 145 -
Page 159 and 160:
DS368 - 100% - 6V- 147 -
Page 161 and 162:
94091 - 80% - 5V- 149 -
Page 163 and 164:
94091 - 80% - 6V- 151 -
Page 165 and 166:
CS-10BB - 100% - 5V- 153 -
Page 167 and 168:
CS-10BB - 100% - 6V- 155 -
Page 169 and 170:
Appendix DActuator Time Domain Veri
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94091 5V94091 6V- 159 -
Page 173 and 174:
DS368 5VDS368 6V- 161 -
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Comprehensive System Identification of Ducted Fan UAVs - Cal Poly

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