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基于DE算法的非线性预测控制及其应用 被引量:7

DE-based Nonlinear Predictive Control and Its Application in the pH Neutralization System
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摘要 针对非线性预测控制系统中需要实时求解非线性规划问题,基于差异演化算法(DE)提出了一种非线性预测控制的新方法。差异演化算法是进化算法的一种,具有全局最优、稳健性强、收敛速度快、及参数调整简单等优点,用于求解非线性预测控制问题中的非线性规划问题具有明显优势。该算法应用于化工过程和化学反应的pH值控制仿真中,仿真结果说明了该方法的有效性。 To the problem that the nonlinear programming is needed in nonlinear predictive control systems, a method is proposed for the non-linear model predictive control based on the differential evolution (DE)algorithm, The DE algorithm is one kind of the evolutionary algorithms, which has many advantages such as global optimum, robust, fast convergence and few parameters to handle. So it will be effective to be used in the nonlinear predictive control systems, The proposed method is applied to the pH neutralization system, and simulation results show its efficiency.
出处 《控制工程》 CSCD 2008年第1期25-27,94,共4页 Control Engineering of China
关键词 差异演化 非线性预测控制 中和反应 differential evolutionary nonlinear predictive control pH neutralization
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参考文献5

  • 1Henson M A. Nonlinear model predictive control : current status and future directions[ J]. Conlputer and Chemical Engineering, 1998,23 (2) : 187-202.
  • 2Store R, Price K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces [ J ]. Journal of Global Optimization, 1997.11 (4) : 341-359.
  • 3Stom R. On the usage of differential evolution for function optimization [ C ]. Berkeley:Biennial Conference of the North American, 1996.
  • 4Mayne D Q. Nonlinear model predictive control: an assessment[C]. Califomia: Fifth International Conference on Chemical Process Control AICHE and CACHE, 1997.
  • 5Henson M, Seborg D. Adaptive nonlinear control of a pH neutralization process[ J ]. IEEE Trans: Control System Technology, 1994,2( 3 ) : 169-182.

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