Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS

Xiong Luo, Yi Chen, Jennie Si, Feng Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Since the launch of the scramjet, recent years have witnessed a growing interest in the study of airbreathing hypersonic vehicles. Due to its strong coupling characteristics, high nonlinearity, and uncertain parameters, the control of hypersonic vehicle becomes a great challenge. To deal with those design issues, we propose an adaptive learning control method based on direct heuristic dynamic programming (direct HDP), which is used to track the angle of attack despite the presence of bounded uncertain parameters. Inspired by the adaptive critic designs, direct HDP is one of the adaptive dynamic programming (ADP) methods, which is a model-free reinforcement learning algorithm using the online learning scheme to solve dynamic control problems in realistic complex environment. In this paper, this direct HDP method is improved by embedding the fuzzy neural network (FNN) in the controller design to enhance its self-learning ability and robustness. Simulation results are provided to demonstrate the effectiveness of our proposed method.

Original languageEnglish (US)
Title of host publicationProceedings of the International Joint Conference on Neural Networks
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3685-3692
Number of pages8
ISBN (Print)9781479914845
DOIs
StatePublished - Sep 3 2014
Event2014 International Joint Conference on Neural Networks, IJCNN 2014 - Beijing, China
Duration: Jul 6 2014Jul 11 2014

Other

Other2014 International Joint Conference on Neural Networks, IJCNN 2014
CountryChina
CityBeijing
Period7/6/147/11/14

Fingerprint

Longitudinal control
Hypersonic vehicles
Dynamic programming
Fuzzy neural networks
Reinforcement learning
Angle of attack
Learning algorithms
Controllers

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Luo, X., Chen, Y., Si, J., & Liu, F. (2014). Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS. In Proceedings of the International Joint Conference on Neural Networks (pp. 3685-3692). [6889894] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2014.6889894

Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS. / Luo, Xiong; Chen, Yi; Si, Jennie; Liu, Feng.

Proceedings of the International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3685-3692 6889894.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Luo, X, Chen, Y, Si, J & Liu, F 2014, Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS. in Proceedings of the International Joint Conference on Neural Networks., 6889894, Institute of Electrical and Electronics Engineers Inc., pp. 3685-3692, 2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, 7/6/14. https://doi.org/10.1109/IJCNN.2014.6889894
Luo X, Chen Y, Si J, Liu F. Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS. In Proceedings of the International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3685-3692. 6889894 https://doi.org/10.1109/IJCNN.2014.6889894
Luo, Xiong ; Chen, Yi ; Si, Jennie ; Liu, Feng. / Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS. Proceedings of the International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3685-3692
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