Comprehensive System Identification of Ducted Fan UAVs - Cal Poly

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ABSTRACTThe increase of military operations in urbanized terrain has changed the nature ofwarfare and the battlefield itself. A need for a unique class of vehicles now exists. Thesevehicles must be able to accurately maintain position in space, be robust in the event ofcollisions, relay strategic situational awareness, and operate on an organic troop level in acompletely autonomous fashion. The operational demands of these vehicles mandateaccurate control systems and simulation testing. These needs stress the importance ofsystem identification and modeling throughout the design process. This research focuseson the unique methods of identification and their application to a class of ducted fan,rotorcraft, and unmanned autonomous air vehicles. This research shows that a variety ofidentification techniques can be combined to comprehensively model this family ofvehicles and reveals the unique challenges involved. The result is a high fidelity modelavailable for the purposes of control system design and simulation.iv
ACKNOWLEDGMENTSThe author would like to give special recognition to Dr. Daniel J. Biezad,Department Chair at Cal Poly, San Luis Obispo, CA and Dr. Mark B. Tischler, U.S.Army Aeroflightdynamics Directorate Moffett Field, CA. Without their support,guidance, and organizational efforts this research would never have been possible. Also,Dr. Colin Theodore, Jason Colbourne, and the whole of the Army/NASA RotorcraftDivision at Moffett Field proved to be invaluable resources and facilitators in thecompletion of this project.v
Page 1 and 2: Comprehensive System Identification
Page 3: APROVAL PAGETITLE:AUTHOR:Comprehens
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 and 14: CHAPTER 1 - INTRODUCTION AND MOTIVA
Page 15 and 16: The vehicles examined within the sc
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
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Techsburg) the pitching moment resp
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Table 3.11 shows that all of the di
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Figure 3.14 shows how increasing th
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the duct, the effects of the man ne
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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 -
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HS512MG - 5V- 127 -
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DS368 - 5V- 129 -
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94091 - 5V- 131 -
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CS-10BB - 5V- 133 -
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Appendix CActuator Generated Transf
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DS8417 - 100% - 5V- 137 -
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DS8417 - 100% - 6V- 139 -
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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 -
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CS-10BB - 100% - 5V- 153 -
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CS-10BB - 100% - 6V- 155 -
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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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