400C79 ROSS

It should be emphasized that the widespread application of various advanced control and optimization technologies is the most effective, direct, and valuable development direction for exploring and improving the comprehensive performance of DCS.

In actual process control systems, systems based on PID control technology account for more than 80%. The advantages and disadvantages of PID circuit application play a crucial role in achieving stable, efficient, and high-quality operation of the device. Various DCS manufacturers use this as a strong competitive weight to seize the market and develop their own PID self-tuning software.

In addition, based on the control functions of DCS, various improved algorithms can be developed on the basis of basic PID algorithms to meet various needs of actual industrial control sites, such as PID control with dead zones, PID control with integral separation, PID control with differential advance, incomplete differential PID control, PID control with logic selection function, and so on.

Unlike traditional PID control, predictive control algorithms based on non parametric models estimate the future output state of the system through predictive models and use a rolling optimization strategy to calculate the output of the current controller.

According to different implementation schemes, there are various algorithms, such as internal model control, model algorithm control, dynamic matrix control, etc. At present, practical predictive control algorithms have been introduced into DCS. For example, IDCOM control algorithm software package has been widely used in practical industrial processes such as hydrocracking, catalytic cracking, atmospheric distillation, naphtha catalytic reforming, etc.