Document Type : Original Article
Authors
1 Department of New Sciences and Technologies ,Tehran university, Tehran, Iran
2 Faculty of New Sciences and Technologies, University of Tehran
3 Faculty of New Sciences and Technologies, University of Tehran,,
Abstract
In this paper, a new methodology to develop an optimum flying law using model predictive control algorithm for a third order non-minimum phase system is presented. The guidance law of the optimum line of sight strategy may be extracted for an ideal non-minimum phase control model of first, second and third order. Optimization algorithm of controller has been introduced and the simulation results for the non-minimum phase system is provided. The results indicate efficiency of the proposed controller in alleviating the adverse effect of the non-minimum phase system and the proposed method could be extended to use in other systems with higher order and complexity in online applications.
Keywords
Main Subjects
Article Title [فارسی]
Investigation of cooperative and non-cooperative conflict Resolution between aircraft using Game Theory
Authors [فارسی]
- Amir reza Kosari 1
- Seyedmostafa Sabatian 2
- Pouya Aghamohammadkhan gorjy 3
1 Department of New Sciences and Technologies ,Tehran university, Tehran, Iran
2 Faculty of New Sciences and Technologies, University of Tehran
3 Faculty of New Sciences and Technologies, University of Tehran,,
Abstract [فارسی]
In this paper, a new methodology to develop an optimum flying law using model predictive control algorithm for a third order non-minimum phase system is presented. The guidance law of the optimum line of sight strategy may be extracted for an ideal non-minimum phase control model of first, second and third order. Optimization algorithm of controller has been introduced and the simulation results for the non-minimum phase system is provided. The results indicate efficiency of the proposed controller in alleviating the adverse effect of the non-minimum phase system and the proposed method could be extended to use in other systems with higher order and complexity in online applications.
Keywords [فارسی]
- Optimal flying law
- Model predictive control
- Non-minimum phase system
- Line of Sight
- [1] H. Jalali-Naini and S. H. Pourtakdost, Explicit Minimum Fuel Intercept Strategy for High-Order Dynamics', Iranian Journal of Science & Technology, Transaction B: Engineering, Vol. 34, No. B2, pp 197-213 Printed in The Islamic Republic of Iran, 2010.
- [2] Lin, C.-F., Modern Navigation, Guidance, and Control Processing, Prentice-Hall, Englewood Cliffs, NJ, 1991.
- [3] Yanushevsky, R., Modern Missile Guidance, CRC Press, 2008.
- [4] Jalali-Naini, S. H. (2004). Modern explicit guidance law for high-order dynamics. Journal of Guidance, Control, and Dynamics, Vol. 27, No. 5, pp. 918-922.
- [5] Hough, M. E. (1995). Optimal guidance and nonlinear estimation for interception of accelerating targets.Journal of Guidance, Control, and Dynamics, Vol. 18, No. 5, pp. 959-968.
- [6] Rusnak, I. & Meir, L. (1991). Modern guidance law for high-order autopilot. Journal of Guidance, Control, and Dynamics, Vol. 14, No. 5, pp. 1056-1058.
- [7] Giannakis, Georgios B., and Jerry M. Mendel. "Identification of nonminimum phase systems using higher order statistics." Acoustics, Speech and Signal Processing, IEEE Transactions on 37, no. 3 (1989): 360-377.
- [8] Sastry, Shankar. Nonlinear systems: analysis, stability, and control. Vol. 10. New York: Springer, 1999.
- [9] Snell, A., “Decoupling of Non-Minimum Phase Plants and Application to Flight Control,” AIAA GNC Conference, AIAA 2002-4760, August 2002.
- Barkana, I., “Classical and Simple Adaptive Control for Non-Minimum Phase Autopilot Design” Journal of Guidance, Control, and Dynamics, Vol. 28, No. 4, 2005, pp. 631-638.
- Abbas MA. Non-Linear Model Predictive Control For Autonomous Vehicles, University of Ontario Institute Of Technology; 2011.
- Singh SN. Model reference adaptive attitude control of spacecraft using reaction wheels.: IEEE; 1986 p. 1514-9.
- Mayne DQ, Rawlings JB, Rao CV, Scokaert PO. Constrained model predictive control: Stability and optimality. Automatica 2000;36(6):789-814.