提出了一种带PD输出电压瞬时值反馈内环的内模控制(internal model control,IMC)-PID电压型逆变电源控制方案:PD瞬时值反馈内环提高系统的动态性能,IMC-PID外环保证系统的稳态性能。给出了详细的基于极点配置的内环PD控制器和外环IMC-PI...提出了一种带PD输出电压瞬时值反馈内环的内模控制(internal model control,IMC)-PID电压型逆变电源控制方案:PD瞬时值反馈内环提高系统的动态性能,IMC-PID外环保证系统的稳态性能。给出了详细的基于极点配置的内环PD控制器和外环IMC-PID控制器设计步骤和方法。该方案只需检测输出电压,控制器结构简单,分析设计容易。仿真和实验结果表明该控制系统不仅具有优良的动、稳态性能,而且有很强的鲁棒性。相对电压、电流双环控制方案而言,该文提出的方案控制器结构和分析更加简单,成本更低,鲁棒性更强。展开更多
For high-purity distillation processes,it is difficult to achieve a good direct product quality control using traditional proportional-integral-differential(PID)control or multivariable predictive control technique du...For high-purity distillation processes,it is difficult to achieve a good direct product quality control using traditional proportional-integral-differential(PID)control or multivariable predictive control technique due to some difficulties,such as long response time,many un-measurable disturbances,and the reliability and precision issues of product quality soft-sensors.In this paper,based on the first principle analysis and dynamic simulation of a distillation process,a new predictive control scheme is proposed by using the split ratio of distillate flow rate to that of bottoms as an essential controlled variable.Correspondingly,a new strategy with integrated control and on-line optimization is developed,which consists of model predictive control of the split ratio,surrogate model based on radial basis function neural network for optimization,and modified differential evolution optimization algorithm. With the strategy,the process achieves its steady state quickly,so more profit can be obtained.The proposed strategy has been successfully applied to a gas separation plant for more than three years,which shows that the strategy is feasible and effective.展开更多
文摘提出了一种带PD输出电压瞬时值反馈内环的内模控制(internal model control,IMC)-PID电压型逆变电源控制方案:PD瞬时值反馈内环提高系统的动态性能,IMC-PID外环保证系统的稳态性能。给出了详细的基于极点配置的内环PD控制器和外环IMC-PID控制器设计步骤和方法。该方案只需检测输出电压,控制器结构简单,分析设计容易。仿真和实验结果表明该控制系统不仅具有优良的动、稳态性能,而且有很强的鲁棒性。相对电压、电流双环控制方案而言,该文提出的方案控制器结构和分析更加简单,成本更低,鲁棒性更强。
基金Supported by the National High Technology Research and Development Program of China（2007AA04Z193） the National Natural Science Foundation of China（60974008 60704032）
文摘For high-purity distillation processes,it is difficult to achieve a good direct product quality control using traditional proportional-integral-differential(PID)control or multivariable predictive control technique due to some difficulties,such as long response time,many un-measurable disturbances,and the reliability and precision issues of product quality soft-sensors.In this paper,based on the first principle analysis and dynamic simulation of a distillation process,a new predictive control scheme is proposed by using the split ratio of distillate flow rate to that of bottoms as an essential controlled variable.Correspondingly,a new strategy with integrated control and on-line optimization is developed,which consists of model predictive control of the split ratio,surrogate model based on radial basis function neural network for optimization,and modified differential evolution optimization algorithm. With the strategy,the process achieves its steady state quickly,so more profit can be obtained.The proposed strategy has been successfully applied to a gas separation plant for more than three years,which shows that the strategy is feasible and effective.
