The principle of the model inverse controller is discussed in order to design an unmanned rotorcraft flight control system applicable to different mission tasks. A neural network compensation controller and online algorithms of its weight coefficients are proposed, and the stability of the synthesized controller is analyzed. The rotational dynamics inverse controller and translational dynamics inverse controller for the unmanned rotorcraft are deduced. The attitude inner loop controller and trajectory outer loop controller are designed. The control distribution strategy of the driving motor is determined to control the speed of coaxial rotor. A combined maneuver flight mission task is planned to imitate automatic flight motion. The adaptive flight control system is verified with simulation, and the flight control abilities of horizontal and vertical motion, hover and heading motion are demonstrated and validated. These results show that the designed adaptive flight control system has adaptability and robustness, and can realize attitude stability and trajectory following.
[1] Lee C T, Tsai C C. Adaptive backstepping integral control of asmall-scale helicopter for airdrop missions[J]. Asian Journal ofControl, 2010, 12(4): 531-541.[2] Ahmed B, Pota H R, Garratt M. Flight control of a rotary wingUAV using backstepping[J]. International Journal of Robust andNonlinear Control, 2010, 20(6): 639-658.[3] Xu H J, Mirmirani M D, Ioannou P A. Adaptive sliding modecontrol design for a hypersonic flight vehicle[J]. Journal ofGuidance, Control, and Dynamics, 2004, 27(5): 829-838. [4] Xu R, Ozguner U. Sliding mode control of a class of underactuatedsystems[J]. Automatica, 2008, 44(1): 233-241. [5] Yue A, Postlethwaite I. Improvement of helicopter handlingqualities using H∞-optimization[J]. IEE Proceedings: ControlTheory and Applications, 1990, 137(3): 115-129. [6] Turner M C,Walker D J, Alford A G. Design and ground-basedsimulation of an H∞ limited authority flight control system forthe Westland Lynx helicopter[J]. Aerospace Science and Technology,2001, 5(3): 221-234. [7] Johnson E N, Calise A J. Pseudo-control hedging: A newmethod for adaptive control[C]//Advances in Navigation Guidanceand Control Technology Workshop. 2000.[8] Johnson E N, Calise A J, Corban J E. Adaptive guidance andcontrol for autonomous launch vehicles[C]//IEEE AerospaceConference. Piscataway, NJ, USA: IEEE, 2001: 2669-2682.[9] Anderson R T, Chowdhary G, Johnson E N. Comparison of RBFand SHL neural network based adaptive control[J]. Journal ofIntelligent and Robotic Systems, 2009, 54(1-3): 183-199. [10] Wang H, Xu J F, Gao Z. Adaptive neural network attitude controlfor unmanned helicopter[J]. Transactions of Nanjing Universityof Aeronautics & Astronautics, 2004, 21(3): 168-173.[11] McFarlandMB, Calise A J, Neural-adaptive nonlinear autopilotdesign for an agile anti-air missile[C]//AIAA Guidance, Navigationand Control Conference. Reston, VA, USA: AIAA, 1996:AIAA-1996-3941.[12] Dai X, Zhang K, Zhang T, et al. ANN generalised inversioncontrol of turbogenerator governor[J]. IEE Proceedings: Generation,Transmission and Distribution, 2004, 151(3): 327-333. [13] Lv G F, Song J Y, Liang H, et al. Inverse system control of nonlinearsystems using LS-SVM[C]//Proceedings of the 26th ChineseControl Conference. Piscataway, NJ, USA: IEEE, 2007:233-236.[14] Chowdhary G, Johnson E N. Adaptive flight control with guaranteedconvergence[C]//Conference on Guidance, Navigationand Control. 2011.[15] Lee H P, Reiman S E, Dillon C H, et al. Robust nonlineardynamic inversion control for a hypersonic cruise vehicle[C]//AIAA Guidance, Navigation, and Control Conference and Exhibit.Reston, VA, USA: AIAA, 2007: 3380-3388.[16] Baskett B J. ADS-33E-PRF, Aeronautical design standard performancespecification handling qualities requirements for militaryrotorcraft[S]. Army Aviation and Missile Command RedstoneArsenal, 2000.[17] Rysdyk R T, Calise A J. Adaptive model inversion flight controlfor tiltrotor aircraft[C]//Annual Forum Proceedings of theAmerican Helicopter Society. Alexandria, VA, USA: AHS,1998: 1356-1367.[18] Johnson E N, Oh S M. Adaptive control using combined onlineand background learning neural network[C]//IEEE Conferenceon Decision and Control. Piscataway, NJ, USA: IEEE, 2004:5433-5438.[19] Lewis F L, Yesildirek A, Liu K. Multilayer neural-net robot controllerwith guaranteed tracking performance[J]. IEEE Transactionson Neural Networks, 1996, 7(2): 388-399. [20] Johnson E N, Calise A J. Neural network adaptive control ofsystems with input saturation[C]//American Control Conference.Piscataway, NJ, USA: IEEE, 2001: 3527-3532.[21] Leitner J, Calise A J, Prasad J V R. Analysis of adaptive neuralnetworks for helicopter flight control[J]. Journal of Guidance,Control, and Dynamics, 1997, 20(5): 972-979. [22] 夏青元,徐锦法.变转速共轴旋翼载荷建模及实验验证[J].实验力学,2012,27(4):433-439.Xia Q Y, Xu J F. Modeling and validation of aerodynamic loadsfor variable RPM coaxial rotor[J]. Journal of Experimental Mechanics,2012, 27(4): 433-439.