Abstract
Fuzzy logic proportional-integral-differential (PID) controllers are developed to perform both stability augmentation and automatic flight control functions. It operates for controlling both longitudinal and lateral-directional motions for an example aircraft, the X-29. The controllers for pitch, roll and yaw control are generated by analyzing a mathematical model describing aircraft static and dynamic characteristics. Each set of fuzzy rules consists of coarse and fine rules. The coarse rules are designed to supply fast response with large control input; while the fine rules are designed to make fine adjustments to improve dynamic stability. Nonlinear numerical simulations are performed to verify the controller performance at the design and off-design conditions for angle of attack hold, bank angle hold and sideslip angle hold. The results indicate that fuzzy PID controllers can provide fast, well damped response to pilot commands and thus improve flight performance, and increase agility, and also are robust.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zadeh, L. A., ”Outline of a New Approach to the Analysis of Complex Systems and Decision Processes,” IEEE Trans. Syst., Man, Cybern., Vol. SMC-3, No. 1, pp. 28–44, 1973.
Mamdani, E. H. and Assilian, S., ”An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller,” Int. J. Man-Machine Studies, Vol. 7, pp. 1–13, 1975.
Larkin, L. I., ”A Fuzzy Logic Controller for Aircraft Flight Control,” Industrial Applications of Fuzzy Control, edited by M. Sugeno, Elsevier Science Publishers B. V. (North-Holland), 1985.
Chiu, S., Chand, S., Moore, D., and Chaudhary, A., ”Fuzzy Logic for Control of Roll and Moment for a Flexible Wing Aircraft,” IEEE Control Systems Magazine, June 1991, pp.42–48.
Rao, S. S. and Dhingra, A. K., ”Applications of Fuzzy Theories to Multi-Objective System Optimization,” NASA CR-177573, Jan. 1991.
Villarreal, J. A., Lea, R. N., and Savely, R. T., ”Fuzzy Logic and Neural Network Technologies,” AIAA Paper 92-0868, Jan. 1992.
Roskam, J., Airplane Flight Dynamics and Automatic Flight Controls, Part II, Roskam Aviation and Engineering Corporation, Ottawa, KS, 1982.
Valasek, J., Eggold, D., and Downing, D., ”A Study of a Proposed Modified Torsional Agility Metric,” AIAA Paper 91-2883-CP, August 1991.
Bernard, J. A., ”Use of a Rule-Based System for Process Control,” IEEE Control Systems Magazine, Oct. 1988, p.3.
Peng, X., Liu, S., Yamakawa, T., Wang, P., and Liu, X., ”Self-regulating PID Controller and its Applications to a Temperature Controlling Process,” Fuzzy Computing-Theory, Hardware, and Applications, edited by Gupta, M., and Yamakawa, T., Elsevier Science Publishers, 1988, pp.355–364.
Linse, D., ”Design and Analysis of a High Angle of Attack Flight Controls System,” MS thesis, the University of Kansas, 1987.
Luo, J., ”Aircraft Control Based on Fuzzy Logic,” Ph.D Dissertation, the University of Kansas, 1994.
Luo, J., and Lan, C. Edward, ”Development and Performance of a Fuzzy Logic Lateral Controller for X-29 Aircraft,” International Fuzzy Systems and Intelligent Control Conference, March 1993, Louisville, KY.
Procyk, T., and Mamdani, E., ”A Linguistic Self-Organizing Process Controller,” Automatica, Vol. 15, 1979, pp. 15–30.
Bosworth, John T., ”Linearized Aerodynamic and Control Law Models of the X-29A airplane and Comparison with Flight Data,” NASA Technical Memorandum 4356, February 1992.
Suikat, R., ”An Optimal Pole Placement Gain Scheduling Algorithm Using Output Feedback,” Ph.D Dissertation, the University of Kansas, 1987.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1995 Kluwer Academic Publishers
About this chapter
Cite this chapter
Luo, J., Lan, E. (1995). Fuzzy Logic Controllers for Aircraft Flight Control. In: Fuzzy Logic and Intelligent Systems. International Series in Intelligent Technologies, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-0-585-28000-4_4
Download citation
DOI: https://doi.org/10.1007/978-0-585-28000-4_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-9575-1
Online ISBN: 978-0-585-28000-4
eBook Packages: Springer Book Archive