Abstract
Aim. The Introduction of the full paper reviews some papers in the open literature and then proposes the design method mentioned in the title, which is what we believe to be more effective than previously and which is explaimed in sections 1 through 3. We explain how to calculate the separation interference of hypersonic stage separation in section 1. A CMAC (cerebellar model arithmetic computer) based rudder deflection presetting method is proposed in sections 2 and 3. The rest of the core of sections 1 through 3 consists of: "Using the nonlinear mapping function of the CMAC neural network, whose structure is improved by us, the rudder presettings corresponding to different separation interferences are calculated. Instead of the output of the CMAC neural network, the angle of attack at the end of stage separation is the input of learning arithmetic." The simulation results, presented in Tables 1 and 2, show preliminarily that the rudder deflection presetting indeed effectively reduces the biases of the angle of attack and sideslip angle, which are hugely affected by separation interference, from 4 degrees to approximately 0.02.
Original language | English |
---|---|
Pages (from-to) | 757-760 |
Number of pages | 4 |
Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
Volume | 29 |
Issue number | 5 |
State | Published - Oct 2011 |
Keywords
- Aircraft
- Analysis
- Calculations
- CMAC (cerebellar model arithmetic computer)
- Design
- Hypersonic aerodynamics
- Hypersonic vehicle
- Interference suppression
- Neural networks
- Rudder deflection presetting
- Rudders
- Simulation
- Stage separation