Unspecified final-time nonlinear suboptimal guidance of aerobatic aircraft in air race

Abstract This paper presents a new suboptimal nonlinear guidance design for aerobatic aircraft in air race. This guidance design needs to ensure several stringent terminal conditions at the specified race gates, and to satisfy various path inequality constraints dependent on state and input throughout the flight trajectory such as bounds on control, altitude, velocity as well as structural load factor limits. It also requires to be robust in presence of uncertainties in aerodynamic parameters as well as external disturbances due to wind gust, which makes this guidance design more challenging. To meet these demanding requirements, the guidance commands are generated using an innovative extension of the generalized model predictive static programming (G-MPSP) technique for incorporating both state and input inequality constraints in unspecified final time framework. This formulation readjusts final time depending on online performance of the system. In addition, to ensure various state and input inequality bounds throughout the trajectory, a penalty function approach is followed with this unspecified final time G-MPSP formulation. The effectiveness of this guidance design approach is validated in an air race scenario, while comparing with the Chebyshev pseudospectral method. Simulation results by considering a large number of simulations indicate that the proposed approach is successful under parameter uncertainties and disturbances, demonstrating its robustness aspect.

[1]  I. Michael Ross,et al.  Direct Trajectory Optimization by a Chebyshev Pseudospectral Method ; Journal of Guidance, Control, and Dynamics, v. 25, 2002 ; pp. 160-166 , 2002 .

[2]  M. Reza Emami,et al.  Concurrent base-arm control of space manipulators with optimal rendezvous trajectory , 2020 .

[3]  Fabio A. de Almeida,et al.  Constrained dynamic compensation with model predictive control for tracking , 2019, Aerospace Science and Technology.

[4]  Florian Holzapfel,et al.  Trajectory Optimization Applied to Air Races , 2009 .

[5]  Florian Holzapfel,et al.  Design and Implementation of a Track Planning Tool for the Red Bull Air race World Series , 2008 .

[6]  John T. Betts,et al.  Practical Methods for Optimal Control and Estimation Using Nonlinear Programming , 2009 .

[7]  Matthias Bittner,et al.  A Multi-Model Gauss Pseudospectral Optimization Method for Aircraft Trajectories , 2012 .

[8]  Maryam Kamgarpour,et al.  Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms , 2019, Aerospace Science and Technology.

[9]  Dong Ye,et al.  Mapped Chebyshev pseudospectral methods for optimal trajectory planning of differentially flat hypersonic vehicle systems , 2019, Aerospace Science and Technology.

[10]  F. Fisch Development of a Framework for the Solution of High-Fidelity Trajectory Optimization Problems and Bilevel Optimal Control Problems , 2011 .

[11]  William C. Cohen,et al.  Optimal control theory—an introduction, Donald E. Kirk, Prentice Hall, Inc., New York (1971), 452 poges. $13.50 , 1971 .

[12]  Hendrikus G. Visser,et al.  Trajectory optimisation of an aerobatic air race , 2009 .

[13]  Donald E. Kirk,et al.  Optimal Control Theory , 1970 .

[14]  W. Chen,et al.  Conjugate gradient method with pseudospectral collocation scheme for optimal rocket landing guidance , 2020 .

[15]  George M. Siouris,et al.  Applied Optimal Control: Optimization, Estimation, and Control , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[16]  H. Weinert,et al.  Bryson, A. E./ Ho, Y.-C., Applied Optimal Control, Optimization, Estimation, and Control. New York-London-Sydney-Toronto. John Wiley & Sons. 1975. 481 S., £10.90 , 1979 .

[17]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..

[18]  Florian Holzapfel,et al.  Adaptive trajectory generation based on real-time estimated parameters for impaired aircraft landing , 2019, Int. J. Syst. Sci..

[19]  Florian Holzapfel,et al.  Design of a Track-Generation Algorithm for the Red Bull Air Race World Series , 2008 .

[20]  J. R. Thibodeau,et al.  Space Shuttle ascent guidance, navigation, and control , 1979 .

[21]  Harshal B. Oza,et al.  Generalized Model Predictive Static Programming and Angle-Constrained Guidance of Air-to-Ground Missiles , 2014 .

[22]  Panagiotis Tsiotras,et al.  Density Functions for Mesh Refinement in Numerical Optimal Control , 2011 .

[23]  Cornel Sultan,et al.  Infinite horizon model predictive control tracking application to helicopters , 2020 .

[24]  Jan A Snyman,et al.  Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms , 2005 .

[25]  Matthias Bittner,et al.  An Automatic Mesh Refinement Method for Aircraft Trajectory Optimization Problems , 2013 .

[26]  Florian Holzapfel,et al.  On the Solution of Bilevel Optimal Control Problems to Increase the Fairness in Air Races , 2012 .

[27]  Kapil Sachan,et al.  Waypoint Constrained Multi-Phase Optimal Guidance of Spacecraft for Soft Lunar Landing , 2019, Unmanned Syst..

[28]  J. B. Rosen The gradient projection method for nonlinear programming: Part II , 1961 .

[29]  F. Holzapfel,et al.  Aircraft Configuration Settings within the Optimization of Approach Trajectories , 2012 .

[30]  Matthias Bittner,et al.  Aerobatic Aircraft Guidance Design for Air-Race Scenario , 2019, 2019 IEEE Conference on Control Technology and Applications (CCTA).

[31]  H. Salarieh,et al.  Quaternion based linear time-varying model predictive attitude control for satellites with two reaction wheels , 2020 .

[32]  Hendrikus G. Visser,et al.  Concurrent trajectory and conceptual vehicle design optimization of an aerobatic air race aircraft , 2014 .