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Erschienen in:
2018 | OriginalPaper | Buchkapitel
The Comparative Study of Mars Entry Phase’s Guidance Methods
verfasst von : Maomao Li, Jun Hu
Erschienen in: Proceedings of 2017 Chinese Intelligent Automation Conference
Verlag: Springer Singapore
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Abstract
Aiming at the problem of Mars entry guidance, the all-coefficient intelligent adaptive predictor-corrector guidance method is proposed. The first order characteristic model which describes the relationship between guidance increment and error of generalized predictive range is established. The convergence of guidance method is guaranteed by the successive approximation of adaptive control, so the convergence problem of conventional predictor-corrector guidance based on iteration method is avoided effectively. The second step, the above-mentioned method is compared with robust guidance method that tracking nominal trajectory and predictor-corrector guidance method based on iteration. Finally, numerical simulation is done for the three methods. The results show that the all-coefficient adaptive predictor-corrector guidance method has higher accuracy than the other two methods. What’s more, the time is shorter than the traditional predictor-corrector guidance method, so it is more suitable for engineering application.