Abstract: Pangu-Weather is honored as one of the “Top Ten Advances in Chinese Sciences” for the year 2023 by the National Natural Science Foundation of China (NSFC). This paper demonstrates that the typhoon forecast by Pangu-Weather is better than numerical forecast and traditional deep learning model. Based on the typhoon forecast model with data training and Pangu-Weather with cybernetics, artificial control is established with the idea of natural cybernetics typhoon strategy. By comparing the ECMWF data with Pangu-Weather forecast, the relative error is defined for error analysis and manual intervention is further adopted. Then the proportion of engineering cybernetics-integral-differential (PID) controller is applied to the artificial control of typhoon, including and the strength and path of typhoon that is modeled as a control target, to build artificial control basing cybernetics typhoon simulation platform. Our study shows that as Pangu-Weather is used for typhoon prediction, the error of prediction result is less than 1% , and the manual intervention for typhoon can be added and PID controller in engineering cybernetics can be introduced. Through typhoon modeling, we can build artificial control for typhoon simulation platform using engineering cybernetics.