Advanced feedback control for optimal operation of mineral grinding process is usually based on the model predictive control (MPC) dynamic optimization. Since the MPC does not handle disturbances directly by controlle...Advanced feedback control for optimal operation of mineral grinding process is usually based on the model predictive control (MPC) dynamic optimization. Since the MPC does not handle disturbances directly by controller design, it cannot achieve satisfactory effects in controlling complex grinding processes in the presence of strong disturbances and large uncertainties. In this paper, an improved disturbance observer (DOB) based MPC advanced feedback control is proposed to control the multivariable grinding operation. The improved DOB is based on the optimal achievable H 2 performance and can deal with disturbance observation for the nonminimum-phase delay systems. In this DOB-MPC advanced feedback control, the higher-level optimizer computes the optimal operation points by maximize the profit function and passes them to the MPC level. The MPC acts as a presetting controller and is employed to generate proper pre-setpoint for the lower-level basic feedback control system. The DOB acts as a compensator and improves the operation performance by dynamically compensating the setpoints for the basic control system according to the observed various disturbances and plant uncertainties. Several simulations are performed to demonstrate the proposed control method for grinding process operation.展开更多
Advanced Process Control （APC） is necessary for oil refining and chemical process in China, but some problems have emerged in the application of APC techniques in this field. This paper discusses the conditions of A...Advanced Process Control （APC） is necessary for oil refining and chemical process in China, but some problems have emerged in the application of APC techniques in this field. This paper discusses the conditions of APC application concerning process design, distributed control system （DCS） choice and regular control. It analyzes the problems and strategies in APC application. Some suggestions are proposed for the enterprise to benefit from APC application.展开更多
High performance control of an interactive process such as iron and steel plant relies on ability to honor safety and operational constraints;reduce the standard deviations of variables that need to be controlled(e.g....High performance control of an interactive process such as iron and steel plant relies on ability to honor safety and operational constraints;reduce the standard deviations of variables that need to be controlled(e.g.product quantity,quality );de-bottlenecking the process;and,maximize profitability or lower cost(e.g.energy savings, improve hot metal content).These objectives may be prioritized in this order,but can vary and are very difficult to achieve optimally through conventional control.A multivariable predictive controller solution,along with its extensive inferential sensor and built-in optimizer,provides online closed loop control and optimization for many interactive metal and mining processes to lower the energy cost,increase throughput,and optimize product quality and yield. Control loop performance is also a key factor to improve iron and steel plant automation and operation result; Honeywell CPM offers vender-independent product which provides monitoring,tuning,modeling of control loop and sustainable loop performance analysis and maintenance solution towards operation stability and energy saving.展开更多
提出了一种基于先进过程控制(Advanced Process Control,APC)技术的综合控制方案在生物型人工肝支持系统(BAL)中的应用;对系统中被控物理量之间的相互作用规律进行了定性分析,按照物料平衡算式使之关联匹配,经过PI调节后,根据使用经验...提出了一种基于先进过程控制(Advanced Process Control,APC)技术的综合控制方案在生物型人工肝支持系统(BAL)中的应用;对系统中被控物理量之间的相互作用规律进行了定性分析,按照物料平衡算式使之关联匹配,经过PI调节后,根据使用经验进行离线结合在线的预测控制;实验结果表明:尽管生物反应器内存在着诸多非线性因素,且具有很强的耦合性及滞后特性,该方法仍取得了较好的控制效果,达到了BAL的使用要求。展开更多
Members of the British Textile Machinery Association(BTMA)can look back on 2025 as a year marked by notable technological advances and continued progress in global trade,despite an uncertain and volatile market.“Our ...Members of the British Textile Machinery Association(BTMA)can look back on 2025 as a year marked by notable technological advances and continued progress in global trade,despite an uncertain and volatile market.“Our members have been very active over the past 12 months and this has resulted in new technologies for the production of technical fibres and fabrics,the introduction of AI and machine learning into process control systems and significant advances in materials testing,”says BTMA CEO Jason Kent.“There’s real excitement about what can be achieved in 2026 as we look ahead to upcoming exhibitions such as JEC Composites in Paris in March and Techtextil in Frankfurt in April.”展开更多
煤气化气化炉的运行受煤质和煤粉粒径等因素的影响。先进过程控制技术(Advanced Process Control Technology,APC)有助于实现配煤系统和煤磨系统的自动稳定控制,减少原料煤配比、细度、湿度、输送速度等工艺参数波动对气化炉的干扰,保...煤气化气化炉的运行受煤质和煤粉粒径等因素的影响。先进过程控制技术(Advanced Process Control Technology,APC)有助于实现配煤系统和煤磨系统的自动稳定控制,减少原料煤配比、细度、湿度、输送速度等工艺参数波动对气化炉的干扰,保证气化炉的稳定运行。对比测试显示,采用APC后,配煤单元烟煤无烟煤配比稳定性提高80%以上,煤磨单元煤粉粒径达到70%合格率要求,标准偏差降低40.8%,证明先进过程控制技术有助于提高装置运行稳定性和生产品质;操作工在配煤单元操作频次降低89.2%,在煤磨单元操作频次降低79.2%,证明了APC有助于降低人工劳动负荷。展开更多
基金Supported by the National Natural Science Foundation of China (61104084, 61290323)the Guangdong Education University-Industry Cooperation Projects (2010B090400410)
文摘Advanced feedback control for optimal operation of mineral grinding process is usually based on the model predictive control (MPC) dynamic optimization. Since the MPC does not handle disturbances directly by controller design, it cannot achieve satisfactory effects in controlling complex grinding processes in the presence of strong disturbances and large uncertainties. In this paper, an improved disturbance observer (DOB) based MPC advanced feedback control is proposed to control the multivariable grinding operation. The improved DOB is based on the optimal achievable H 2 performance and can deal with disturbance observation for the nonminimum-phase delay systems. In this DOB-MPC advanced feedback control, the higher-level optimizer computes the optimal operation points by maximize the profit function and passes them to the MPC level. The MPC acts as a presetting controller and is employed to generate proper pre-setpoint for the lower-level basic feedback control system. The DOB acts as a compensator and improves the operation performance by dynamically compensating the setpoints for the basic control system according to the observed various disturbances and plant uncertainties. Several simulations are performed to demonstrate the proposed control method for grinding process operation.
文摘Advanced Process Control （APC） is necessary for oil refining and chemical process in China, but some problems have emerged in the application of APC techniques in this field. This paper discusses the conditions of APC application concerning process design, distributed control system （DCS） choice and regular control. It analyzes the problems and strategies in APC application. Some suggestions are proposed for the enterprise to benefit from APC application.
文摘High performance control of an interactive process such as iron and steel plant relies on ability to honor safety and operational constraints;reduce the standard deviations of variables that need to be controlled(e.g.product quantity,quality );de-bottlenecking the process;and,maximize profitability or lower cost(e.g.energy savings, improve hot metal content).These objectives may be prioritized in this order,but can vary and are very difficult to achieve optimally through conventional control.A multivariable predictive controller solution,along with its extensive inferential sensor and built-in optimizer,provides online closed loop control and optimization for many interactive metal and mining processes to lower the energy cost,increase throughput,and optimize product quality and yield. Control loop performance is also a key factor to improve iron and steel plant automation and operation result; Honeywell CPM offers vender-independent product which provides monitoring,tuning,modeling of control loop and sustainable loop performance analysis and maintenance solution towards operation stability and energy saving.
文摘提出了一种基于先进过程控制(Advanced Process Control,APC)技术的综合控制方案在生物型人工肝支持系统(BAL)中的应用;对系统中被控物理量之间的相互作用规律进行了定性分析,按照物料平衡算式使之关联匹配,经过PI调节后,根据使用经验进行离线结合在线的预测控制;实验结果表明:尽管生物反应器内存在着诸多非线性因素,且具有很强的耦合性及滞后特性,该方法仍取得了较好的控制效果,达到了BAL的使用要求。
文摘Members of the British Textile Machinery Association(BTMA)can look back on 2025 as a year marked by notable technological advances and continued progress in global trade,despite an uncertain and volatile market.“Our members have been very active over the past 12 months and this has resulted in new technologies for the production of technical fibres and fabrics,the introduction of AI and machine learning into process control systems and significant advances in materials testing,”says BTMA CEO Jason Kent.“There’s real excitement about what can be achieved in 2026 as we look ahead to upcoming exhibitions such as JEC Composites in Paris in March and Techtextil in Frankfurt in April.”
文摘煤气化气化炉的运行受煤质和煤粉粒径等因素的影响。先进过程控制技术(Advanced Process Control Technology,APC)有助于实现配煤系统和煤磨系统的自动稳定控制,减少原料煤配比、细度、湿度、输送速度等工艺参数波动对气化炉的干扰,保证气化炉的稳定运行。对比测试显示,采用APC后,配煤单元烟煤无烟煤配比稳定性提高80%以上,煤磨单元煤粉粒径达到70%合格率要求,标准偏差降低40.8%,证明先进过程控制技术有助于提高装置运行稳定性和生产品质;操作工在配煤单元操作频次降低89.2%,在煤磨单元操作频次降低79.2%,证明了APC有助于降低人工劳动负荷。
