This study applies the control allocation (CA) to several aircraft flight controls to produce the required body axis angular accelerations. The control law was designed using the linear quadratic regulator technique to produce the virtual control effort signals. This control law is effectively a multi-input multi-output proportional-integral controller. The virtual control efforts that are produced by the controller are then distributed by solving a multi-branch CA problem using the active set method. The solution of this CA problem is then distributed to the control surfaces. The solution is computed at a sampling frequency of 1 kHz. The designed control law and CA were then implemented in a non-linear B747-200 simulation model. The tracking performance in terms of the attitudes of the aircraft is presented.
LuoY.SerraniA.YurkovichS.OppenheimerM. W.DomanD. B.‘Model-predictive dynamic control allocation scheme for reentry vehicles’J. Guid. Control Dyn.301 (2007): 100–113
2.
DurhamW. C.‘Constrained control allocation’J. Guid. Control Dyn.164 (1993): 717–725
3.
DurhamW. C.‘Constrained control allocation: Three-moment problem’J. Guid. Control Dyn.172 (1994): 330–336
4.
EnnsD.‘Control allocation approaches’ In Proceedings of the AIAA Guidance, Navigation and Control Conference and Exhibit, Boston, Massachusetts, 10–12 August 1998, pp. 98–108.
5.
BodsonM.‘Evaluation of optimisation methods for control allocation’J. Guid. Control Dyn.254 (2002): 703–711
6.
BurkenJ. J.LuP.WuZ.BahmC.‘Two reconfigurable flight-control design methods: Robust servomechanism and control allocation’J. Guid. Control Dyn.243 (2001): 482–493
7.
HärkegårdO.Backstepping and control allocation with application to flight control (Linköping, Sweden: Linköping University2003) PhD Thesis.
8.
Gundy-BurletK.KrishnakumarK.LimesG.BryantD.‘Control reallocation strategies for damage adaptation in transport class aircraft’ In Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, Austin, Texas, 11–14 August 2003.
9.
HärkegårdO.GladS. T.‘Resolving actuator redundancy optimal control vs. control allocation’Automatica411 (2005): 137–144
10.
LuoY.SerraniA.YurkovichS.DomanD. B.OppenheimerM. W.‘Dynamic control allocation with asymptotic tracking of time-varying control input commands’ In Proceedings of the American Control Conference, Portland, Oregon, 8–10 June 2005, pp. 2098–2103.
11.
LuoY.SerraniA.YurkovichS.DomanD. B.OppenheimerM. W.‘Model predictive dynamic control allocation with actuator dynamics’ In Proceedings of the American Control Conference, Boston, Massachusetts, 30 June-2 July 2004, pp. 1695–1700.
12.
PoonamalleeV. L.YurkovichS.SerraniA.DomanD. B.‘A nonlinear programming approach for control allocation’ In Proceedings of the American Control Conference, Boston, Massachusetts, 30 June-2 July 2004, pp. 1689–1694.
13.
BolenderM. A.DomanD. B.‘Nonlinear control allocation using piecewise linear functions: A linear programming approach’J. Guid. Control Dyn.283 (2005): 558–562
14.
BlankeM.KinnaertM.LunzeJ.StaroswieckiM.Diagnosis and fault-tolerant control (Germany: Springer2006)
15.
FossenT. I.JohansenT. A.‘A Survey of control allocation methods for ships and underwater vehicles’ In Proceedings of the 14th Mediterranean Conference on Control and automation, Ancona, Italy, 28–30 June 2006.
16.
JohansenT. A.FossenT. I.TondelF.‘Efficient optimal constrained control allocation via multiparametric programming’J. Guid. Control Dyn.283 (2005): 506–515
17.
HärkegårdO.‘Dynamic control allocation using constrained quadratic programming’J. Guid. Control Dyn.276 (2004): 1028–1034
18.
SteinbergM. L.PageA. B.‘High-fidelity simulation testing of intelligent and adaptive aircraft control laws’ In Proceedings of the American Control Conference, Anchorage, 8–10May 2002, pp. 3264–3268.
19.
JohansenT. A.FossenT. I.BergeS. P.‘Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming’IEEE Trans. Control Sys. Technol.121 (2004): 211–216
20.
PlumleeJ. H.BevlyD. M.HodelA. S.‘Control of a ground vehicle using quadratic programming based control allocation techniques’ In Proceeding of the American Control Conference, Boston, Massachusetts, 30 June-2 July 2004, pp. 4704–4709.
21.
SimmonsA. T.HodelA. S.‘Control allocation for the X-33 using existing and novel quadratic programming techniques’. In Proceedings of the American Control Conference, Boston, Massachusetts, 30 June-2 July 2004, pp. 1701–1706.
22.
PlumleeJ. H.Multi-input ground vehicle control using quadratic programming based control allocation techniques (Auburn, Alabama, USA: University of Auburn2004) MSc Thesis.
23.
NocedalJ.WrightS. J.Numerical optimisation (New York: Springer Verlag1999)
24.
FletcherR.Practical methods of optimisation (UK: John Wiley1987)
25.
BuffingtonJ.‘Modular control design for the innovative control effectors (ICE) tailless fighter aircraft configuration 101-3’ (OH: Air Force Research Laboratory Wright Patterson AFB 1999) AFRL-VA-WP-TR-1999-3057.
HankeC. R.NordwallD. R.‘The simulation of large transport aircraft’ (Wichita, Kansas, USA: The Boeing Company, Wichita Division1970) Technical report D6-30643.
