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
This paper deals with Wiener model based predictive control of a pH neutralization process.The dynamic linear block of the Wiener model is parameterized using Laguerre filters while the nonlinear block is constructed ...This paper deals with Wiener model based predictive control of a pH neutralization process.The dynamic linear block of the Wiener model is parameterized using Laguerre filters while the nonlinear block is constructed using least squares support vector machines (LSSVM).Input-output data from the first principle model of the pH neutralization process are used for the Wiener model identification.Simulation results show that the proposed Wiener model has higher prediction accuracy than Laguerre-support vector regression (SVR) Wiener models,Laguerre-polynomial Wiener models,and linear Laguerre models.The identified Wiener model is used here for nonlinear model predictive control (NMPC) of the pH neutralization process.The set-point tracking performance of the proposed NMPC is compared with those of the Laguerre-SVR Wiener model based NMPC,Laguerre-polynomial Wiener model based NMPC,and linear model predictive control (LMPC).Validation results show that the proposed NMPC outperforms the other three controllers.展开更多
CO_(2)捕集、利用与封存(CO_(2)Capture, Utilization and Storage, CCUS)技术是减少碳排放的有效手段之一,是实现中国“双碳”目标的重要技术保障,其中CO_(2)管道输送是最重要的一环。从CCUS技术和CO_(2)管道设计两个维度综述了国内外C...CO_(2)捕集、利用与封存(CO_(2)Capture, Utilization and Storage, CCUS)技术是减少碳排放的有效手段之一,是实现中国“双碳”目标的重要技术保障,其中CO_(2)管道输送是最重要的一环。从CCUS技术和CO_(2)管道设计两个维度综述了国内外CO_(2)捕集、CO_(2)运输、CO_(2)封存和CO_(2)利用的研究进展,针对运输过程,着重从工艺设计、杂质、含水量、止裂控制和风险评估等方面梳理了CO_(2)管道设计的研究成果。中国目前正在大力推进CCUS技术,中国石油、中国石化和中国海洋石油等机构分别成立了相关的研究机构,聚焦CCUS发展的各个环节。虽然中国尚处于技术发展的初级阶段,但相信随着科研人员的努力会很快赶超发达国家,跻身第一方阵。研究结果旨在为中国的CCUS技术发展提供参考,促进中国CCUS技术的推广实施和CO_(2)管道的合理设计。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.
基金Project (No.60574022) supported by the National Natural Science Foundation of China
文摘This paper deals with Wiener model based predictive control of a pH neutralization process.The dynamic linear block of the Wiener model is parameterized using Laguerre filters while the nonlinear block is constructed using least squares support vector machines (LSSVM).Input-output data from the first principle model of the pH neutralization process are used for the Wiener model identification.Simulation results show that the proposed Wiener model has higher prediction accuracy than Laguerre-support vector regression (SVR) Wiener models,Laguerre-polynomial Wiener models,and linear Laguerre models.The identified Wiener model is used here for nonlinear model predictive control (NMPC) of the pH neutralization process.The set-point tracking performance of the proposed NMPC is compared with those of the Laguerre-SVR Wiener model based NMPC,Laguerre-polynomial Wiener model based NMPC,and linear model predictive control (LMPC).Validation results show that the proposed NMPC outperforms the other three controllers.
基金Supported by the National Creative Research Groups Science Foundation of P.R. China （NCRGSFC： 60421002） and National High Technology Research and Development Program of China （863 Program） （2006AA04 Z182）
文摘CO_(2)捕集、利用与封存(CO_(2)Capture, Utilization and Storage, CCUS)技术是减少碳排放的有效手段之一,是实现中国“双碳”目标的重要技术保障,其中CO_(2)管道输送是最重要的一环。从CCUS技术和CO_(2)管道设计两个维度综述了国内外CO_(2)捕集、CO_(2)运输、CO_(2)封存和CO_(2)利用的研究进展,针对运输过程,着重从工艺设计、杂质、含水量、止裂控制和风险评估等方面梳理了CO_(2)管道设计的研究成果。中国目前正在大力推进CCUS技术,中国石油、中国石化和中国海洋石油等机构分别成立了相关的研究机构,聚焦CCUS发展的各个环节。虽然中国尚处于技术发展的初级阶段,但相信随着科研人员的努力会很快赶超发达国家,跻身第一方阵。研究结果旨在为中国的CCUS技术发展提供参考,促进中国CCUS技术的推广实施和CO_(2)管道的合理设计。
