Abstract
A nonlinear adaptive variable structure control method is proposed in the presence of model nonlinearity and parameters uncertainty for high maneuvers flight. The adaptive sliding mode control law is obtained recursively via an appropriate choice of Lyapunov function based on backstepping procedure. With fixed parameters optimization done by using a chaotic particle swarm optimization algorithm of adaptive parameter strategy, good system performance is achieved. To prevent the singularity of the high-frequency gain matrix during parameter adaptation, a SDU decomposition of matrix is found, which is useful to get non-singular control law. Simulation results show the effectiveness of the control algorithm.
Original language | English |
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Pages (from-to) | 1377-1381 |
Number of pages | 5 |
Journal | Kongzhi yu Juece/Control and Decision |
Volume | 26 |
Issue number | 9 |
State | Published - Sep 2011 |
Keywords
- Adaptive sliding mode control
- Backstepping
- High maneuvers flight
- Optimization algorithm
- SDU decomposition