Abstract
Aim. The introduction of the full paper reviews a number of papers and then, in its last paragraph, proposes the exploration of a better design; the exploration results are explained in sections 1 and 2. Section 1 employs the balanced truncation reduction method to obtain the model of a flexible aircraft, which is reduced from 12 orders to six orders, and then selects a suitable robust-weighting function. Section 2 proposes a simplified method for computing the H2 norm of system tracking error so as to obtain the H2 performance index of our optimal design; it also optimizes the parameters of the mixed H2/H∞ optimal PID controller with the particle swarm optimization algorithm. Section 3 simulates the full-order model of the flexible aircraft controlled by using the mixed H2/H∞ optimal PID controller designed by us and the H∞ mixed sensitivity controller respectively. The simulation results, given in Figs. 5 through 8, and their analysis indicate preliminarily that: (1) our mixed H2/H∞ optimal PID controller has lower order than the H∞ mixed sensitivity controller and can stabilize the parameter uncertainty and non-parameter uncertainty simultaneously; (2) it can suppress the elastic structural deformation of the flexible aircraft and control its rigid modal effectively.
Original language | English |
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Pages (from-to) | 310-317 |
Number of pages | 8 |
Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
Volume | 29 |
Issue number | 2 |
State | Published - Apr 2011 |
Keywords
- Aircraft
- Algorithms
- Flexible aircraft
- Mixed H/H optimal PID controller
- Optimization
- Order-reduced model
- Particle swarm optimization algorithm