LEADER 04519nam 2200721 a 450 001 9910789871803321 005 20220908162946.0 010 $a1-68015-902-X 010 $a1-283-37967-8 010 $a9786613379672 010 $a1-4008-4060-0 024 7 $a10.1515/9781400840601 035 $a(CKB)2670000000139866 035 $a(EBL)832065 035 $a(SSID)ssj0000571295 035 $a(PQKBManifestationID)11351089 035 $a(PQKBTitleCode)TC0000571295 035 $a(PQKBWorkID)10619003 035 $a(PQKB)10749732 035 $a(MiAaPQ)EBC832065 035 $a(OCoLC)769927217 035 $a(MdBmJHUP)muse43163 035 $a(DE-B1597)453777 035 $a(OCoLC)979755037 035 $a(DE-B1597)9781400840601 035 $a(Au-PeEL)EBL832065 035 $a(CaPaEBR)ebr10522526 035 $a(CaONFJC)MIL337967 035 $z(PPN)19924426X 035 $a(PPN)176039414 035 $a(EXLCZ)992670000000139866 100 $a20110719d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSmall unmanned aircraft $etheory and practice /$fRandal W. Beard, Timothy W. McLain 205 $aCourse Book 210 $aPrinceton, N.J. $cPrinceton University Press$dc2012 215 $a1 online resource (317 p.) 300 $aIncludes bibliographical references (p. [291]-298) and index. 311 1 $a0-691-14921-6 320 $aIncludes bibliographical references and index. 327 $tFrontmatter --$tContents --$tPreface --$t1. Introduction --$t2. Coordinate Frames --$t3. Kinematics and Dynamics --$t4. Forces and Moments --$t5. Linear Design Models --$t6. Autopilot Design Using Successive Loop Closure --$t7. Sensors for MAVs --$t8. State Estimation --$t9. Design Models for Guidance --$t10. Straight-line and Orbit Following --$t11. Path Manager --$t12. Path Planning --$t13. Vision-guided Navigation --$tAppendix A. Nomenclature and Notation --$tAppendix B. Quaternions --$tAppendix C. Animations in Simulink --$tAppendix D. Modeling in Simulink Using S-Functions --$tAppendix E. Airframe Parameters --$tAppendix F. Trim and Linearization in Simulink --$tAppendix G. Essentials from Probability Theory --$tAppendix H. Sensor Parameters --$tBibliography --$tIndex 330 $aAutonomous unmanned air vehicles (UAVs) are critical to current and future military, civil, and commercial operations. Despite their importance, no previous textbook has accessibly introduced UAVs to students in the engineering, computer, and science disciplines--until now. Small Unmanned Aircraft provides a concise but comprehensive description of the key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables all students with an introductory-level background in controls or robotics to enter this exciting and important area. The authors explore the essential underlying physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning. The textbook leads the student from rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. To facilitate understanding, the authors have replaced traditional homework assignments with a simulation project using the MATLAB/Simulink environment. Students begin by modeling rigid-body dynamics, then add aerodynamics and sensor models. They develop low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms. The final chapter of the book focuses on UAV guidance using machine vision. Designed for advanced undergraduate or graduate students in engineering or the sciences, this book offers a bridge to the aerodynamics and control of UAV flight. 606 $aDrone aircraft$xControl systems 606 $aDrone aircraft$xAutomatic control 606 $aGuidance systems (Flight) 615 0$aDrone aircraft$xControl systems. 615 0$aDrone aircraft$xAutomatic control. 615 0$aGuidance systems (Flight) 676 $a623.74/69 686 $aZO 7400$2rvk 700 $aBeard$b Randal W$0522967 701 $aMcLain$b Timothy W.$f1963-$01482962 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910789871803321 996 $aSmall unmanned aircraft$93700921 997 $aUNINA