Generalized predictive controller design for an unmanned helicopter engine speed

被引：1
|
作者：
Chen L.-L. [1 ]
Wei M.-X. [2 ]
Shao J.-J. [2 ]
机构：
[1] College of Automobile and Transportation Engineering, Liaocheng University, Liaocheng 252059, Shandong
[2] College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2010年 / 39卷 / 03期
关键词：
Aviation; Generalized predictive control; Helicopters; Piston engines; Robustness; Speed control;
D O I：
10.3969/j.issn.1001-0548.2010.03.034
中图分类号：
学科分类号：
摘要：
Classical PID speed control method provides no guarantees for closed-loop system stability or performances for the full operating range of a piston engine. Complex engine control strategy, including generalized predictive control (GPC) and forward-feed compensation control rule, is proposed for an unmanned helicopter engine speed regulation based on controlled auto-regressive integrated moving-average (CARIMA). According to several typical conditions in practice, off-line simulations are carried out and compared with PID. The simulations and tethered test show that the proposed controller can meet the performance requirements for the unmanned helicopter engine use, namely tracking performance, disturbance rejection and robustness.
引用
收藏
页码：475 / 480
页数：5
相关论文
共 15 条
  • [11] Li G.-Y., Intelligent Control and Matlab Realization, (2005)
  • [12] Yang Z.-J., Zhao G.-Z., Yan Z.-D., Idling model and feedforward compensation control of engine, Small Internal Combustion Engine, 26, 5, pp. 19-23, (1997)
  • [13] Shao J.-J., Wei M.-X., Wen W.-D., Piston engine speed dynamic output feedback regulation based on LMI, Journal of Aerospace Power, 22, 7, pp. 1195-1199, (2007)
  • [14] Huang X.-H., Peng Z.-Y., Fuzzy adaptive PID control for an unmanned helicopter engine, Journal of Aerospace Power, 20, 3, pp. 487-493, (2005)
  • [15] Zhou D.-Y., Chen X.-H., Weighted input adaptive generalized predictive controller, Control and Decision, 6, 1, pp. 1-7, (1991)
12