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A novel approach for optimal trajectory design with multiple operation modes of propulsion system, part 2
- Source :
- Acta Astronautica. 172:166-179
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Equipping a spacecraft with multiple solar-powered electric engines (of the same or different types) compounds the task of optimal trajectory design due to presence of both real-valued inputs (power input to each engine in addition to the direction of thrust vector) and discrete variables (number of active engines). Each engine can be switched on/off independently and "optimal" operating power of each engine depends on the available solar power, which depends on the distance from the Sun. Application of the Composite Smooth Control (CSC) framework to a heliocentric fuel-optimal trajectory optimization from the Earth to the comet 67P/Churyumov-Gerasimenko is demonstrated, which presents a new approach to deal with multiple-engine problems. Operation of engine clusters with 4, 6, 10 and even 20 engines of the same type can be optimized. Moreover, engine clusters with different/mixed electric engines are considered with either 2, 3 or 4 different types of engines. Remarkably, the CSC framework allows us 1) to reduce the original multi-point boundary-value problem to a two-point boundary-value problem (TPBVP), and 2) to solve the resulting TPBVPs using a single-shooting solution scheme and with a random initialization of the missing costates. While the approach we present is a continuous neighbor of the discontinuous extremals, we show that the discontinuous necessary conditions are satisfied in the asymptotic limit. We believe this is the first indirect method to accommodate a multi-mode control of this level of complexity with realistic engine performance curves. The results are interesting and promising for dealing with a large family of such challenging multi-mode optimal control problems.<br />Comment: 45 pages, 11 figures; Preprint submitted to Acta Astronautica
- Subjects :
- 020301 aerospace & aeronautics
Computer science
Aerospace Engineering
Initialization
Thrust
Systems and Control (eess.SY)
02 engineering and technology
Trajectory optimization
Propulsion
Optimal control
Electrical Engineering and Systems Science - Systems and Control
7. Clean energy
01 natural sciences
Power (physics)
0203 mechanical engineering
Optimization and Control (math.OC)
Control theory
Hybrid system
0103 physical sciences
Limit (music)
FOS: Mathematics
FOS: Electrical engineering, electronic engineering, information engineering
Mathematics - Optimization and Control
010303 astronomy & astrophysics
Subjects
Details
- ISSN :
- 00945765
- Volume :
- 172
- Database :
- OpenAIRE
- Journal :
- Acta Astronautica
- Accession number :
- edsair.doi.dedup.....73610d52c93445b739cd22b97199cf81
- Full Text :
- https://doi.org/10.1016/j.actaastro.2020.02.047