Multi-dimensional fault-tolerant predictive control method for industrial process

Abstract

The invention discloses a multi-dimensional fault-tolerant predictive control method for an industrial process. The method comprises the following steps of: 1 establishing an equivalent multi-time-delay novel error model for an intermittent process with time delay; 2 on the basis of the novel error model, establishing a 2D-Roesser state space model based on a multi-step prediction thought, and giving performance index representation; 3 establishing a closed-loop control system of the 2D-Roesser state space model, and establishing a sufficient condition that the system has an invariant set characteristic; 4 based on the prediction models in the time and batch directions in the steps 1 and 3, designing a prediction controller, selecting a performance index function which is resistant to external interference and has terminal constraints, and giving a sufficient condition that a terminal constraint set of the prediction model is an invariant set; and 5 constructing an optimization algorithm for the selected performance index function, and obtaining expected control performance along time and batch directions. According to the method, the defects of traditional fault-tolerant control can be well overcome, and the method has the advantages in the aspects of controller design and calculation.

Description

technical field [0001] The invention relates to the technical field of industrial process control, in particular to a multi-dimensional fault-tolerant predictive control method for industrial processes. Background technique [0002] With the rapid development of science and technology, industrial production gradually presents the characteristics of small scale, multiple varieties, and high added value. The intermittent process has once again attracted people's attention. At present, batch production technology has been widely used in many fields such as manufacturing, pharmaceuticals, and metal synthesis. As the operating techniques and processes of industrial production become more and more complex, the possibility of system failure increases. At the same time, the phenomenon of time lag is common in industrial processes. The existence of factors such as faults and time lags has gradually become an obstacle to the stable and efficient operation of batch processes. Faults...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the fault problem, the fault-tolerant control technology of batch process is widely used, but the current technical level is mainly one-dimensional, and the one-dimensional method only considers the influence of time and specific industrial production

In addition, in actual production, there will be factors such as actuator failure, drift and external interference of the system, so the control performance of the system will be greatly affected

Due to the two-dimensional nature of the batch process, a failure in the current batch is likely to affect the next batch or even many batches in the future.

Coupled with the existence of time lag in the batch process, it obviously increases the difficulty of controller design

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