Method for controlling dynamic matrix of non-self-balance object

Abstract

The invention relates to a method for controlling a dynamic matrix of a non-self-balance object. A traditional matrix control algorithm cannot directly be used on the non-self-balance object. On the base of the traditional matrix control algorithm, the method combines a method for changing and transferring a matrix for the non-self-balance object and a novel error rectification method, guarantees that control is highly precise and highly stable, and at the same time guarantees simple forms, and meets demands in actual industrial process. The method is adopted to firstly establish a matrix model for the non-self-balance object based on step response data of the object and excavate out a basic object character; and then combines the novel method for transferring the matrix and the method for compensating error to calculate out a parameter of a dynamic matrix controller; and at last complements dynamic matrix control for the non-self-balance object. Means like data collection, model establishment, and mechanism forecasting are adopted in the method for controlling the dynamic matrix of the non-self-balance object, and the method is adopted to effectively improve precision and stability of the control.

Description

technical field [0001] The invention belongs to the technical field of automation and relates to a dynamic matrix control method of a non-self-balancing object. Background technique [0002] There are many non-self-balancing objects in actual industrial production, such as some storage tanks, boiler drum water level, distillation tower liquid level and so on. In industrial process control, since the transfer function of the non-self-balancing object contains a typical integral link, the response of the controlled object tends to be infinite under the constant value step, which makes the traditional dynamic matrix control algorithm unable to operate in the non-self-balancing used directly on the object. In the existing control methods, on the one hand, many algorithms cannot make the controlled object resist continuous interference; on the other hand, the modeling process of some algorithms is too complicated, which makes the control of non-self-balancing objects difficult. ...

AI Technical Summary

Problems solved by technology

In industrial process control, since the transfer function of the non-self-balancing object contains a typical integral link, the response of the controlled object tends to be infinite under the constant value step, which makes the traditional dynamic matrix control algorithm unable to operate in the non-self-balancing directly on the object

In the existing control methods, on the one hand, many algorithms cannot make the controlled object resist continuous interference; on the other hand, the modeling process of some algorithms is too complicated, which makes the control of non-self-balancing objects difficult.

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