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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hongfu Liu Xueqiang Gu Jing Chen Haifeng Liu |
| Copyright Year | 2012 |
| Description | Author affiliation: College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, China (Hongfu Liu; Xueqiang Gu; Jing Chen) || The Second Artillery Equipment Academy, Beijing, China (Haifeng Liu) |
| Abstract | Mission planning is the key capability of unmanned combat aerial vehicles (UCAV), especially when an UCAV performs penetration and attack mission in dynamic and adversarial environments. There are two challenges for automated mission planning. First, the environment and mission target maybe encounter dynamic change. Second, the several objectives are often conflicting and adjustable in different mission stages. Aim to conquer the difficulties, an intelligent and multi-objective receding horizon control framework is proposed. The framework integrates multi-objective optimization, receding horizon control, fuzzy inference system and expert knowledge together, which can online receding and adaptively adjust the objectives according to the environment and the state of the mission execution. For UCAV mission planning in adversarial environments, once the multi-objective optimization problem is solved at each sampling time and the non-inferior solutions belonging to the set of Pareto are obtained, the most satisfied one is selected by using the objectives weights inferred from the expert decision. Results are shown on typical examples of UCAV mission planning under dynamic environments, which illustrated the feasibility and applicability of the proposed method. |
| Starting Page | 1154 |
| Ending Page | 1158 |
| File Size | 614440 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467314107 |
| e-ISBN | 9781467314114 |
| DOI | 10.1109/CSIP.2012.6309063 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Receding horizon control Unmanned combat aerial vehicles Nonlinear optimization Extraterrestrial measurements Mission planning Multi-objective optimization Expert decision Planning |
| Content Type | Text |
| Resource Type | Article |
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