Control of pH neutralization processes is challenging in the chemical process industry because of their inherent strong nonlinearity. In this paper, the model algorithmic control (MAC) strategy is extended to nonlinea...Control of pH neutralization processes is challenging in the chemical process industry because of their inherent strong nonlinearity. In this paper, the model algorithmic control (MAC) strategy is extended to nonlinear processes using Hammerstein model that consists of a static nonlinear polynomial function followed in series by a linear impulse response dynamic element. A new nonlinear Hammerstein MAC algorithm (named NLH-MAC) is presented in detail. The simulation control results of a pH neutralization process show that NLH-MAC gives better control performance than linear MAC and the commonly used industrial nonlinear propotional plus integral plus derivative (PID) controller. Further simulation experiment demonstrates that NLH-MAC not only gives good control response, but also possesses good stability and robustness even with large modeling errors.展开更多
分析了当前的非线性模型预测控制（Nonlinear Model Predictive Control,NMPC）技术和应用现状,并为今后的研究和发展提出了一些课题。给出了NMPC的主要原理,并概述了NMPC的关键优点/不足及其一些理论、计算和实施方面的问题。除了关于N...分析了当前的非线性模型预测控制（Nonlinear Model Predictive Control,NMPC）技术和应用现状,并为今后的研究和发展提出了一些课题。给出了NMPC的主要原理,并概述了NMPC的关键优点/不足及其一些理论、计算和实施方面的问题。除了关于NMPC的数学构造及其闭环稳定性的基本问题的一般描述,还对如NMPC的鲁棒构造问题、输出反馈问题,并对闭环系统的性能预测进行了讨论。一个NMPC算法的成功取决于最初选择的非线性模型结构的合理性,所以给出了可为一个新的NMPC算法形成潜在数学构造的一些合适的非线性模型结构的简述。总之,3个对NMPC应用的最主要障碍是：非线性模型的开发;状态估计;快速、可靠的实时控制算法的求解方案。对于未来NMPC技术的需求包括非线性模型辨识的系统方法发展;非线性估计方法;可靠的数值求解技术;以及评价NMPC应用的更好方法。展开更多
文摘Control of pH neutralization processes is challenging in the chemical process industry because of their inherent strong nonlinearity. In this paper, the model algorithmic control (MAC) strategy is extended to nonlinear processes using Hammerstein model that consists of a static nonlinear polynomial function followed in series by a linear impulse response dynamic element. A new nonlinear Hammerstein MAC algorithm (named NLH-MAC) is presented in detail. The simulation control results of a pH neutralization process show that NLH-MAC gives better control performance than linear MAC and the commonly used industrial nonlinear propotional plus integral plus derivative (PID) controller. Further simulation experiment demonstrates that NLH-MAC not only gives good control response, but also possesses good stability and robustness even with large modeling errors.
文摘分析了当前的非线性模型预测控制（Nonlinear Model Predictive Control,NMPC）技术和应用现状,并为今后的研究和发展提出了一些课题。给出了NMPC的主要原理,并概述了NMPC的关键优点/不足及其一些理论、计算和实施方面的问题。除了关于NMPC的数学构造及其闭环稳定性的基本问题的一般描述,还对如NMPC的鲁棒构造问题、输出反馈问题,并对闭环系统的性能预测进行了讨论。一个NMPC算法的成功取决于最初选择的非线性模型结构的合理性,所以给出了可为一个新的NMPC算法形成潜在数学构造的一些合适的非线性模型结构的简述。总之,3个对NMPC应用的最主要障碍是：非线性模型的开发;状态估计;快速、可靠的实时控制算法的求解方案。对于未来NMPC技术的需求包括非线性模型辨识的系统方法发展;非线性估计方法;可靠的数值求解技术;以及评价NMPC应用的更好方法。
