EMERSON A6110 Thrust Differential Expansion Module

EMERSON A6110 Thrust Differential Expansion Module

EMERSON A6110 is different from traditional PID control. The predictive control algorithm based on non parametric models predicts the future output state of the system through a predictive model, and uses a rolling optimization strategy to calculate the output of the current controller. According to different implementation plans, 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, such as the IDCOM control algorithm software package which has been widely used in practical industrial processes such as hydrocracking, catalytic cracking, atmospheric distillation, and naphtha catalytic reforming. In addition, there are also HPC from Honeywell, PREDICTROL from Yokogawa, and predictive controllers based on Kalman filters developed by Sanbu Honeywell in the TDC-3000LCN system. This type of predictive controller does not simply place the Kalman filter before traditional predictive control for noise filtering, but instead uses the Kalman filter as the optimal state speculator, performing both optimal state inference and noise filtering simultaneously.

There are still many advanced control algorithms for EMERSON A6110. At present, many control software companies and DCS manufacturers at home and abroad are competing to develop engineering software packages for advanced control and optimization control, hoping to embed advanced control and optimization control strategies in configuration software. When a large amount of on-site information is directly entered into the computer control system through intelligent instruments or through the fieldbus, there is a problem of sharing and interacting with on-site information by internal computer applications. Due to the lack of unified connection standards, industrial control software often needs to develop dedicated drivers for hardware devices. Once the hardware equipment is upgraded, it is necessary to make changes to the corresponding drivers, which increases the maintenance cost of the system. Even if SCADA in a computer has independent drivers, it is generally not allowed to access the same device simultaneously, otherwise it is easy to cause system crashes.