粗轧机TDC控制优化

粗轧机TDC控制优化Title: Optimization of TDC Control in Rough Rolling MillAbstract:The rough rolling process

TDC 粗轧机控制优化 Title: Optimization of TDC Control in Rough Rolling Mill Abstract: The rough rolling process plays acrucial role in the production of high-quality steel products. The control system, particularly the Thickness Deviation Control (TDC) system, is akey factor in achieving precise and efficient rough rolling operations. This paper focuses on the optimization of TDC control in rough rolling mills, with the aim of improving product quality, reducing material waste, and enhancing overall productivity. Introduction: Rough rolling is the initial stage in the production of steel products, where the thickness of the material is reduced through aseries of rolling passes. The TDC system is employed to maintain aconsistent thickness throughout the rolling process and minimize thickness deviations. Traditional TDC control strategies have shortcomings in terms of robustness, adaptability, and accuracy. Therefore, there is a pressing need to optimize the TDC control in rough rolling mills. Methodology: To optimize the TDC control in rough rolling mills, acomprehensive approach will be utilized. It involves the following steps: 1. Review of existing TDC control systems: Athorough analysis of the current TDC control strategies used in rough rolling mills will be conducted. This includes examining the control algorithms, sensor technology, actuation mechanisms, and overall system architecture. 2. Identification of limitations and challenges: The limitations and challenges associated with existing TDC control systems will be identified. These may include difficulties in accurately measuring the material thickness, delays in control response, inadequate compensation for disturbances, and insufficient adaptability to changing rolling conditions. 3. Development of improved TDC control algorithms: Based on the identified limitations and challenges, new TDC control algorithms will be developed. These algorithms will be designed to address the shortcomings of existing systems and enhance their robustness, adaptability, and accuracy. Advanced control techniques, such as model