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Abstract

A new approach based on dynamic inversion is proposed in this paper for implementing pilot commands in an aircrafts. The command inputs from the pilot are assumed to be (i) the normal acceleration and forward velocity commands in the longitudinal mode and (ii) roll rate, height and forward velocity commands in the lateral mode. A major difference here is that the second derivatives of the velocities along body y and z directions are assumed to be zero, as opposed to the first derivatives (which is used in many published literature). The new approach leads to a significant reduction of tuning parameters in the control design process, which is a major advantage. Detailed derivations of the modified approach are presented with respect to the generic aircraft dynamics model available in [16]. Extensive Six-DOF simulation studies show that, besides the above advantage, the new approach leads to two other additional advantages; namely reduced oscillatory response and reduced control magnitude. In a comparison study with an existing method using the Six-DOF model for Boeing 747 (with the numerical data available in [16]), numerical results clearly show the improved performance of this new approach. Furthermore, in lateral mode a technique for obtaining a corresponding roll rate command from the desired bank angle command is also implemented. Comparison results show improved performance of the new approach with this modification as well.

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How to Cite
Padhi, R. (2023). Pilot Command Implementation in Aircrafts: A New Approach Based on Dynamic Inversion. Journal of Aerospace Sciences and Technologies, 58(3), 234–250. https://doi.org/10.61653/joast.v58i3.2006.668

References

  1. Al-Hiddabi, S.A. and McClamroch, N.H., "Aggressive Longitudinal Aircraft Trajectory Tracking Us- ing Nonlinear Control", Journal of Guidance, Control and Dynamics, Vol.25, No.1, 2002, pp.26-32.
  2. Asseo, S. J., "Application of Optimal Control of Perfect Model Following", Journal of Aircraft, Vol.7, July-Aug.,1970, pp.308-313.
  3. Bryson, A. E. and Ho, Y. C., "Applied Optimal Control", Taylor and Francis, 1975.
  4. Enns, D., Bugajski, D., Hendrick, R. and Stein, G., "Dynamic Inversion: An Evolving Methodology for Flight Control Design", International Journal of Control, Vol.59, No.1,1994, pp.71-91.
  5. Ferrari, S. and Stengel, R., "An Adaptive Critic Global Controller", Proceedings of the American Control Conference, 2002, pp. 2665-260.
  6. Gupta, S. K., "Numerical Methods for Engineers", Wiley Eastern Limited, 1995.
  7. Huang, C. Y. and Stengel, R. F., "Restructurable Control Using Proportional-Integral Implicit Model Following", Journal of Guidance, Control and Dynamics, Vol.13, No.2, 1990, pp. 303-309.
  8. Hunt, K. J., "Neural Networks for Control Systems - A Survey", Automatica, Vol. 28, No. 6, 1992, pp. 1083-1112.
  9. Jiang, Z. P., "Global Tracking Control of Underactuated Ships By Lyapunov’s Direct Method", Automatica, Vol. 38, 2002, pp.301-309.
  10. Kaneshige, J., Bull, J. and Totah, J. J., "Generic Neural Flight Control and Autopilot System", Proceedings of the AIAA Conference on Guidance, Navigation and Control, AIAA-2000-4281.
  11. Khalil, H. K., "Nonlinear Systems", 3rd Edition, Prentice Hall, 2002.
  12. Kim, B. and Calise, A. J., "Nonlinear Flight Control Using Neural Networks", Journal of Guidance, Control and Dynamics, Vol.20, No.1, 1997, pp.26-33.
  13. Lane, S. H. and Stengel, R. F., "Flight Control Using Non-Linear Inverse Dynamics", Automatica, Vol.24, No.4, 1988, pp.471-483.
  14. Menon, P .K.A., "Nonlinear Command Augmentation System for a High Performance Aircraft", Proceedings of the AIAA Conference on Guidance, Navigation and Control, 1993, AIAA-93-3777-CP.
  15. Ngo, A. D., Reigelsperger, W. C. and Banda, S. S., "Multivariable Control Law Design for A Tailless Airplanes", Proceedings of the AIAA Conference on Guidance, Navigation and Control, 1996, AIAA-96- 3866.
  16. Roskam, J., "Airplane Flight Dynamics and Automatic Controls (Part-I)", Darcorporation, 1995.
  17. Slotine, J-J. E. and Li, W., "Applied Nonlinear Control", Prentice Hall, 1991.
  18. Soloway, D. and Haley, P., "Aircraft Reconfiguration Using Neural Generalized Predictive Control", Proceedings of The American Control Conference, 2001, pp. 2924-2929.
  19. Stevens, B. L. and Lewis, F. L., "Aircraft Control and Simulation": Wiley, 1992.

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