以高压静止无功补偿器(Static Var Compensator,SVC)为研究对象,针对传统PID控制器难以对设定值进行有变化的跟踪和对扰动进行抑制的缺陷,提出了一种新的非线性神经元PID控制+二阶微分控制算法以实现公共连接点的电压稳定控制,采用改进...以高压静止无功补偿器(Static Var Compensator,SVC)为研究对象,针对传统PID控制器难以对设定值进行有变化的跟踪和对扰动进行抑制的缺陷,提出了一种新的非线性神经元PID控制+二阶微分控制算法以实现公共连接点的电压稳定控制,采用改进的神经元学习算法对控制器的参数进行优化,使得SVC系统的瞬态响应性能和控制性能达到最佳,引入非线性函数消除了系统的超调。实验结果验证了所提出的控制方法能够保证快速、无超调地跟踪电压设定值,具有较强的鲁棒性和适应性,提高了SVC系统的补偿精度。展开更多
The temperature control of the large-scale vertical quench furnace is very difficult due to its huge volume and complex thermal exchanges. To meet the technical requirement of the quenching process, a temperature cont...The temperature control of the large-scale vertical quench furnace is very difficult due to its huge volume and complex thermal exchanges. To meet the technical requirement of the quenching process, a temperature control system which integrates temperature calibration and temperature uniformity control is developed for the thermal treatment of aluminum alloy workpieces in the large-scale vertical quench furnace. To obtain the aluminum alloy workpiece temperature, an air heat transfer model is newly established to describe the temperature gradient distribution so that the immeasurable workpiece temperature can be calibrated from the available thermocouple temperature. To satisfy the uniformity control of the furnace temperature, a second order partial differential equation(PDE) is derived to describe the thermal dynamics inside the vertical quench furnace. Based on the PDE, a decoupling matrix is constructed to solve the coupling issue and decouple the heating process into multiple independent heating subsystems. Then, using the expert control rule to find a compromise of temperature rising time and overshoot during the quenching process. The developed temperature control system has been successfully applied to a 31 m large-scale vertical quench furnace, and the industrial running results show the significant improvement of the temperature uniformity, lower overshoot and shortened processing time.展开更多
文摘以高压静止无功补偿器(Static Var Compensator,SVC)为研究对象,针对传统PID控制器难以对设定值进行有变化的跟踪和对扰动进行抑制的缺陷,提出了一种新的非线性神经元PID控制+二阶微分控制算法以实现公共连接点的电压稳定控制,采用改进的神经元学习算法对控制器的参数进行优化,使得SVC系统的瞬态响应性能和控制性能达到最佳,引入非线性函数消除了系统的超调。实验结果验证了所提出的控制方法能够保证快速、无超调地跟踪电压设定值,具有较强的鲁棒性和适应性,提高了SVC系统的补偿精度。
基金Project(61174132)supported by the National Natural Science Foundation of ChinaProject(2015zzts047)supported by the Fundamental Research Funds for the Central Universities,ChinaProject(20130162110067)supported by the Research Fund for the Doctoral Program of Higher Education of China
文摘The temperature control of the large-scale vertical quench furnace is very difficult due to its huge volume and complex thermal exchanges. To meet the technical requirement of the quenching process, a temperature control system which integrates temperature calibration and temperature uniformity control is developed for the thermal treatment of aluminum alloy workpieces in the large-scale vertical quench furnace. To obtain the aluminum alloy workpiece temperature, an air heat transfer model is newly established to describe the temperature gradient distribution so that the immeasurable workpiece temperature can be calibrated from the available thermocouple temperature. To satisfy the uniformity control of the furnace temperature, a second order partial differential equation(PDE) is derived to describe the thermal dynamics inside the vertical quench furnace. Based on the PDE, a decoupling matrix is constructed to solve the coupling issue and decouple the heating process into multiple independent heating subsystems. Then, using the expert control rule to find a compromise of temperature rising time and overshoot during the quenching process. The developed temperature control system has been successfully applied to a 31 m large-scale vertical quench furnace, and the industrial running results show the significant improvement of the temperature uniformity, lower overshoot and shortened processing time.
