Industrial process performance determination method based on two-dimensional LQG benchmark

Abstract

The invention discloses an industrial process performance determination method based on a two-dimensional LQG benchmark. The method comprises the following steps of step1, collecting batch process operation data and establishing a batch process state space model; and step2, according to the state space model and an output error, establishing a new batch process state space model, using the two-dimensional LQG benchmark to obtain an optimal batch state variation variance, a tracking error variance, and a batch dimension input variation variance of a system, and establishing a performance tradeoff curved surface of a controlled object. In the invention, batch process control accuracy can be ensured and simultaneously convergence performance of a batch process state and batch iteration inputcan be considered so as to realize stable and high precision control of an industrial batch production process.

Description

technical field [0001] The invention belongs to the field of automatic industrial process control and relates to a method for determining the performance of an industrial process based on a two-dimensional LQG benchmark. Background technique [0002] Batch processes are very common in industrial production processes, such as food production, automobile production, etc. Many controllers of the batch process control loop have good performance in the initial stage of operation, but after a period of operation, affected by the complex industrial environment, the performance of the controller will decline, resulting in a decrease in the control accuracy of the control system, and ultimately resulting in a product The reduction of quality, the increase of enterprise operating costs and the waste of resources, therefore, it is necessary to design a batch process performance evaluation method to ensure the normal operation of the batch process control system. Most of the traditiona...

AI Technical Summary

Problems solved by technology

Many controllers of the batch process control loop have good performance in the initial stage of operation, but after a period of operation, affected by the complex industrial environment, the performance of the controller will decline, resulting in a decrease in the control accuracy of the control system, and ultimately resulting in a product The reduction of quality, the increase of enterprise operating costs and the waste of resources, so it is necessary to design a batch process performance evaluation method to ensure the normal operation of the batch process control system

Traditional methods are mostly based on MVC benchmarks, but the robustness of MVC benchmarks is poor, and the trade-off between batch tracking error, batch process state and batch iteration input cannot be achieved.

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