Control method based on combination of combined integral controllers and dual control system

Abstract

The invention provides a control method based on a combination of combined integral controllers and a dual control system. The dual control system comprises a main control object, an auxiliary control object, a main controller for controlling the main control object and an auxiliary controller for controlling the auxiliary control object, wherein both the main controller and the auxiliary controller adopt the combined integral controllers. The combined integral controllers are applied to a quick response circuit and a slow response circuit of the dual control system and replace the originally-used traditional PID controllers, system steady state errors, overshoot and steady state reaching time are thus reduced, and the robust performance of the system is enhanced. The combined integral controllers and the dual control system are combined for use, and the filter function of the combined integral controller enhances the system noise suppression ability. The system can reach the steady value, the response speed is quick, the overshoot is small, and no steady state errors exist almost. After the system output reaches a steady value finally, when interference is added, the system can be quickly restored to the original steady state, and the robust performance is good.

Description

technical field [0001] The invention relates to the technical field of process industry control, in particular to a control method based on the combination of a combined integral controller and a dual control system. Background technique [0002] In today's common industrial processes such as tobacco, petroleum, and chemical industry, the traditional PID controller is still the most widely used controller. However, in actual industrial applications such as tobacco processing, there are often many interference factors, and the controlled object usually has a large hysteresis and strong nonlinearity. Currently, in a large number of industrial processes, these objects are usually approximated as first-order links and controlled using simple single-loop control systems as well as traditional PID controllers. This method can basically meet the needs of actual industrial production. However, with the increasingly stringent requirements of modern industrial production on product ...

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Problems solved by technology

[0005] In tobacco, steel, chemical and other industrial processes, some improved control algorithms such as Smith predictive control algorithm and internal model control algorithm have been partially applied to the control of large lag and strong nonlinear links, but their control performance is still major disadvantages

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