Closed-loop iterative setting system and method for thermal multi-loop controller based on particle swarm

Abstract

The invention discloses a closed-loop iterative setting system and method for a thermal multi-loop controller based on particle swarm calculation. In the invention, an iteration setting control unit calls a closed-loop identification model unit to identify historical data from a field control system and input the obtained ARX model order and a parameter value to a control loop simulation unit, andcalls a closed-loop particle swarm setting unit to initialize the controller parameters to be set, the remaining controllers maintain original parameters, and the closed-loop particle group setting unit calls the control loop simulation unit to perform closed-loop setting of each controller to be set and perform multi-time iteration setting again and again to optimize the parameters of each controller to be set as an output result of a closed-loop iteration particle swarm setting system, and the result is output to the field control system. The closed-loop iterative setting system and methodachieve the closed-loop optimization setting of the thermal multi-loop controller parameters so as to guide the online regulation of the controller parameters and effectively improve the regulation quality of the control system on the premise without influence on production.

Description

technical field [0001] The invention relates to thermal automatic control technology, in particular to a closed-loop iterative tuning system and tuning method for thermal multi-loop controller parameters based on particle swarms. Background technique [0002] PID control is currently the main controller used in thermal control systems. Due to the characteristics of large-scale load changes, long-term continuous operation, nonlinear dynamics, and multiple disturbances in the thermal system, the control performance of the PID controller may deteriorate during operation, resulting in a large oscillation of the adjusted variable, which cannot maintain the safety and economy of the system. run. For this reason, online optimization and setting of PID parameters is required to make the controller adapt to the working conditions again. There are open-loop and closed-loop methods for project tuning of PID controller parameters. The open-loop method requires an open-loop step respon...

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Problems solved by technology

Because the thermal system has multi-variable characteristics, the control loop often includes multiple controllers. When using the conventional method in the closed-loop method to tune the multi-loop control parameters, the controllers are coupled with each other and there are many disturbances, which will cause inconvenience to the tuning; The closed-loop tuning method of intelligent calculation is not easy to converge due to the large number of optimized parameters of multiple controllers, and the optimized parameters are often unreasonable and difficult to apply in practice

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