Split-ranging control realization method for multi-variable model predictive control

Abstract

The invention relates to a split-ranging control realization method for multi-variable model predictive control. The method comprises: carrying out off-line initialization on a multi-input and multi-output control system; and carrying out on-line split-ranging controlling on the system based on a model prediction algorithm. Prediction models are established according to different action combinations of all execution mechanisms in all linear intervals in split-ranging control; during each control period, a prediction model is selected by comparing an output control signal value of a controller with a corresponding intermediate threshold; and a control increment is calculated by using a dynamic matrix control algorithm and the calculated control increment is applied to the corresponding execution mechanism for action implementation. Therefore, a design problem of a multi-variable model predictive controller for a split-ranging control need during a control process can be solved; and thus the application range of the prediction controller can be extended.

Description

technical field [0001] The invention relates to a split-range control realization method suitable for multivariable model predictive control, which belongs to the field of process industry control. Background technique [0002] Split-range control refers to: when using one actuator cannot meet the requirements of process control, use the control signal range to be divided into several small segments to control two or more actuators, and each actuator starts within a range of control signals. effect. Split-range control can expand the adjustable range of the actuator, improve the control quality, and solve some special needs in the production process. [0003] In the existing production process, the PID controller is usually used to realize the split-range control with a single split-range control function. When the control system is multi-input and multiple-output and has multiple split-range control functions, the PID controller is not effective. The main reason is that P...

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Problems solved by technology

[0003] In the existing production process, the PID controller is usually used to realize the split-range control with a single split-range control function. When the control system is multi-input and multiple-output and has multiple split-range control functions, the PID controller is not effective. Mainly because PID is not suitable for solving the coordinated control of multiple control loops coupled with each other

When model predictive control is used to control complex processes with split-range control functions, since split-range control contains nonlinear features, the predictive control algorithm based on the principle of linear superposition cannot be used directly. Based on this, this invention proposes a multi- The split-range control implementation method of variable model predictive control solves the split-range control problem with multiple split-range control functions in the multi-input multi-output control system

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