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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuan Wang Yongkun Wang Mingwei Sun Shengzhi Du Zengqiang Chen |
| Copyright Year | 2015 |
| Description | Author affiliation: Coll. of Comput. & Control Eng., Nankai Univ., Tianjin, China (Yuan Wang; Yongkun Wang; Mingwei Sun; Shengzhi Du) || Dept. of Mech. Eng., Tshwane Univ. of Technol., Tshwane, South Africa (Zengqiang Chen) |
| Abstract | On the basis of nonlinear model predictive control, a formation controller is designed for a group of missiles by regulating the flight path angles in a proper manner. According to the formation requirement and the practical location of the leader missile, a dynamic virtual guidance point is generated for each follower missile. The formation control of follower missiles is considered as a dynamic optimization problem. The performance index is presented in a quadratic form. The optimization problem is reformulated as a static one. The active set method is used to obtain the optimal solution in terms of three key factors offline. Therefore, a solution table is established and used to train the neural network guidance model. The online control is achieved using the real-time state measurements as model inputs. Simulation results show the effectiveness of the proposed method. |
| Starting Page | 2151 |
| Ending Page | 2156 |
| File Size | 229725 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781509001545 |
| DOI | 10.1109/CIT/IUCC/DASC/PICOM.2015.319 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-26 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis virtual guidance model predictive control Missiles Neurons Neural networks Acceleration neural network anti-ship missile Optimization formation control Predictive control |
| Content Type | Text |
| Resource Type | Article |
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