随着工业技术的发展，对板带钢的厚度精度提出了更高的要求，尽量的减小厚度

With the development of industrial technology, higher requirements have been placed on the thickness accuracy of plate and strip steel. Trying to reduce the thickness deviation and ensure the thickness uniformity is an important issue for plate and strip steel rolling. For this reason, thickness setting and adaptive control are becoming more and more important as an important part of the automatic control of sheet steel thickness. Thickness setting and adaptive control adopt mathematical models such as bounce equations to achieve high-precision setting, and realize self-learning by comparing the measured values ​​between passes and slabs and the calculated values ​​of the model to ensure the rolled strip The difference between the thickness of the steel and the required thickness of the finished product is within the allowable accuracy range.

With the development of industrial technology, the thickness accuracy of strip steel is put forward higher requirements, as far as possible to reduce the thickness deviation and ensure the uniformity of thickness, which is an important problem of strip steel rolling. Therefore, thickness setting and adaptive control, as an important part of automatic control of strip steel thickness, play an increasingly prominent role. The thickness setting and adaptive control use mathematical models such as bouncing equations to achieve high-precision setting, and self-learning is realized by the comparison between the measured values between the tao and the slabs and the calculated values of the model, so as to ensure that the thickness of the rolled-out strip steel and the required thickness of the finished product are within the permissible accuracy range.

With the development of industrial technology, higher requirements are put forward for the thickness accuracy of plate and strip. It is an important problem for plate and strip rolling to minimize the thickness deviation and ensure the thickness uniformity. Therefore, as an important part of automatic control of strip thickness, thickness setting and adaptive control play an increasingly prominent role. Thickness setting and adaptive control adopt mathematical models such as bounce equation to achieve high-precision setting, and realize self-learning by comparing the measured values and model calculated values between passes and slabs, so as to ensure that the difference between the thickness of rolled plate and strip and the required thickness of finished product is within the allowable accuracy range.<br>