Multivariable closed-loop control loop performance evaluation method based on Gaussian process regression

Abstract

The invention relates to a multivariable closed-loop control loop performance evaluation method based on Gaussian process regression. The multivariable closed-loop control loop performance evaluationmethod comprises the following steps: S1, selecting multivariable closed-loop output data to be evaluated; S2, standardizing the data; S3, performing evaluation fragment division on the standardized data matrix in the step S2; and S4, performing autoregression modeling on the evaluation fragment data matrix X, constructing training input, training output and test input of the model, and determining model parameters by using a least square method. The beneficial effects of the invention are that process priori knowledge is not needed, the idea of data driving is utilized, performance related information contained in the process data can be mined on line; performance evaluation is performed on the multivariable closed-loop control system; comprehensive loop evaluation results and operation suggestions are given according to the change trend of the performance indexes, so that a field engineer can quickly eliminate loop faults by directly operating and maintaining the performance degradation loop through the evaluation results, automatic evaluation of a closed-loop system is realized, and safe and efficient operation of the process is guaranteed.

Description

technical field [0001] The invention relates to the field of industrial system control performance evaluation, and particularly includes a multivariable closed-loop control loop performance evaluation method based on Gaussian process regression. Background technique [0002] With the rapid development of automation theory and technology, the design and operation scale and complexity of modern industrial systems are increasing day by day. Plants in the process industry primarily use PID controllers to maintain important process variables at desired set points. The concept of PID control was introduced to industrial production processes in the 1930s to 1950s, initially as a case of several pneumatic loops per process on a small scale, and today on a large scale where hundreds or even thousands of them are implemented digitally PID control loop. According to the business strategy "If you can't measure it, you can't manage it", the industry needs an automatic control performan...

AI Technical Summary

Problems solved by technology

At present, the research results of performance evaluation of multivariable closed-loop control systems based on data-driven are very limited, and are still in the preliminary exploration stage, which needs further research.

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