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基于APSO的非线性预测控制及在pH中和反应中的应用 被引量：14

APSO-based Nonlinear Predicted Control and Its Application for the pH Neutralization Reactor Control
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摘要 提出一种基于自适应粒子群优化的预测控制算法,得益于APSO的全局最优和快速收敛的特点,可以有效地克服常规优化算法的不足。将此算法应用于中和反应过程的pH值控制中,仿真结果显示了该方法的有效性。 A new predictive control algorithm based on adaptive particle swarm optimization （APSO） is proposed. APSO is characteristic of global optimum and fast convergence. It effectively overcomes the shortage of normal optimization algorithm. APSO-MPC is applied to the pH control of the neutralization reactor. The simulation results illustrate its effectiveness.
作者 夏晓华 刘波 栾志业 金以慧
机构地区 清华大学自动化系
出处 《化工自动化及仪表》 EI CAS 2006年第1期24-27,共4页 Control and Instruments in Chemical Industry
关键词 非线性 预测控制 动态优化 自适应粒子群优化 中和反应 nonlinear predictive control dynamic optimization adaptive particle swarm optimization neutralization reaction
分类号 TP273 [自动化与计算机技术—检测技术与自动化装置]
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参考文献8

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二级参考文献64

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共引文献38

同被引文献131

引证文献14

二级引证文献70

化工自动化及仪表
2006年 第1期

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