Aerospace Knowledge and Technology Journal

Aerospace Knowledge and Technology Journal

Optimal system design of a liquid fuel missile using Teaching-Learning-Based-Optimization(TLBO) under uncertainty

Document Type : Research Paper

Authors
maziar hoseini shalmaee 1
alireza toloei 2
1 Ph.D. Candidate of Aerospace Engineering, Shahid Beheshti University, Tehran, Iran
2 Associate Profess, Shahid Beheshti University
Abstract
This paper focuses on the optimal and robust design of a liquid-fueled rocket under uncertainty conditions. The objective is to minimize the rocket's mass while maintaining design stability against environmental and operational variations. The design is based on the classical velocity requirement approach, where the rocket configuration and fuel composition are determined according to the payload mass and flight range. After performing mass and geometric calculations, parameters such as initial mass, fuel quantity, and thrust force for each stage are computed. The accuracy of the method is validated using data from similar rockets worldwide, and subsequently, parameters such as initial relative thrust, combustion chamber pressure, and nozzle exit pressure are optimized using the TLBO algorithm. Finally, considering uncertainty in the specific impulse (Isp) of the first and second stages and applying the Latin Hypercube Sampling (LHS) method, the design is refined to ensure robustness against variations while minimizing the rocket’s mass.
Keywords
missile
systematic design
evolutionary optimization
uncertainty
robust optimum
Subjects
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