Modified Quasilinearization For Optimal Flight Trajectory
Mansour, I., abdel Hamid, M., Bilal, A. (1987). Modified Quasilinearization For Optimal Flight Trajectory. EKB Journal Management System, 2(A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO), 965-973. doi: 10.21608/asat.1987.26194
I. Mansour; M. abdel Hamid; A. Y. Bilal. "Modified Quasilinearization For Optimal Flight Trajectory". EKB Journal Management System, 2, A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO, 1987, 965-973. doi: 10.21608/asat.1987.26194
Mansour, I., abdel Hamid, M., Bilal, A. (1987). 'Modified Quasilinearization For Optimal Flight Trajectory', EKB Journal Management System, 2(A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO), pp. 965-973. doi: 10.21608/asat.1987.26194
Mansour, I., abdel Hamid, M., Bilal, A. Modified Quasilinearization For Optimal Flight Trajectory. EKB Journal Management System, 1987; 2(A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO): 965-973. doi: 10.21608/asat.1987.26194

Modified Quasilinearization For Optimal Flight Trajectory

International Conference on Aerospace Sciences and Aviation Technology
Article 37, Volume 2, A.S.A.T. CONFERENCE 21-23 April 1987 , CAIRO, April 1987, Page 965-973  XML PDF (1.72 MB)
Document Type: Original Article
DOI: 10.21608/asat.1987.26194
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Authors
I. Mansour1; M. abdel Hamid2; A. Y. Bilal3
1Aeronautical Department, Military Technical College, Cairo, Egypt. Member AIAA.
2Information Certer of Armed Forces, Egypt.
3Prof., Department of Electrical Engineering, Cairo, University, Giza, Egypt.
Abstract
The application of Rontrvaqin's maximum principle to optimal control problems results in a two-point boundary value problem. The quasilinearization method is used to solve the resulting problem and the method is very effective if the final time is fixed. In this paper the modified quasilinearization with time transform is used to find the minimum time flight path in a vertical plane. The method is based on Newton-Raphson combined with long's method in order to solve the problem of unknown final time. The advantage of the method is the fact that it does not need large memary size compared with other methods of trajectory optimization. The minimum time trajectory of climb in a vertical plane is obtained after a few iterations which proves that the method is very efficient in this case.
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