期刊文献+

一种简化的受限广义预测控制 被引量:6

An Improved Constrained Generalized Predictive Control
下载PDF
导出
摘要 广义预测控制最适于大滞后控制,但传统的受限预测控制由于优化过程复杂,计算量较大而未能得到很好应用。针对传统受限预测控制优化算法的这些缺点,在合理简化传统约束条件下,提出了一种简化的受限预测控制算法,该方法既简化了约束条件又避免了矩阵求逆。最后将此控制方法应用于火电机组的再热汽温控制对象上,通过仿真实验,输入、输出均限制在约束条件内,得到了理想的控制效果。由于算法简单,计算量小,所以是一种有较大应用前景的控制方法。 To overcome these shortcomings of traditional constrained predictive control,an improved constrained predictive control algorithm is proposed under the condition of simplified the traditional constraints.This method not only simplifies the constraints but also avoids the matrix inversion.Finally this method is applied to the reheated steam temperature control sys- tem of thermal power plant,the simulation results show that satisfactory performance is obtained and the input and output meet the constraints.The algorithm is simple and the computational speed is higher.
出处 《工业控制计算机》 2018年第11期59-61,共3页 Industrial Control Computer
关键词 受限 约束 优化 预测控制 再热汽温 constrained constraints optimization predictive control reheat steam temperature
  • 相关文献

参考文献4

二级参考文献26

  • 1吕剑虹.预测控制在热工过程控制中的应用研究[M].南京:东南大学,1989.335-348.
  • 2Clarke D W, Mohtadi C, Tufts P S. Generalized predictive control-part Ⅰ. The basic algorithm [ J ]. Automatica, 1987, 23(2) :137 - 148.
  • 3Clarke D W, Mohtadi C, Tufts P S. Generalized predictive control-part Ⅱ. Extensions and interpretations[J]. Automatica, 1987, 23(2) :149 - 160.
  • 4Tsang T T C, Clarke D W. Generalized predictive control with input constraints [ J ].IEE Proceedings on D-Control Theory and Applications, 1988, 135 ( 6 ) : 451 -460.
  • 5Camacho E F. Constrained generalized predictive control [J]. IEEE Trans on Automatic Control, 1993, 38(2) :327 -331.
  • 6Martinez M, Senent J S, Blasco X. Generalized predictive control using genetic algorithms(GAGPC) [J]. Engineering Applications of Artificial Intelligence, 1998,11(3) : 355 -367.
  • 7Back T, Hammel U, Schwefel H P. Evolutionary computation: comments on the history and current state [ J ].IEEE Trans on Evolutionary Computation, 1997, 1 ( 1 ) :3 -17.
  • 8Salomon R. Evolutionary algorithms and gradient search: similarities and differences [ J ]. IEEE Trans on Evolutionary Computation, 1998, 2 ( 2 ) :45 - 55.
  • 9Nelles O. Nonlinear system identification [M ]. Berlin:Springer, 200 1.
  • 10Cominos P, Munro N. PID controllers: recent tuning methods and design to specification [ J ]. IEE Proceeding-Control Theory and Applications, 2002, 149 ( 1 ) :46 -53.

共引文献74

同被引文献61

引证文献6

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部