Abstract
Since the exploitation of offshore oil and gas, after decades of development, it has gradually played an important role in world economic development. The central control system of offshore platforms is the core equipment of offshore oil and gas fields. Offshore platform industrial process control requires PID control most of the time. However, in practical applications, the tuning of PID parameters has not been well resolved. This paper combines neural network and PID control to build a neural network PID controller. At the same time, using OPC communication technology, the intelligent control PID algorithm is perfectly combined with the central control system, and the optimized model and parameters are applied to the actual control object of the oil level control of the offshore oil production platform, and the control effect is obtained satisfactorily.
Cite
CITATION STYLE
Yang, Q., Liu, Z., & Zhang, Y. (2020). Research and Practice of Neural Network PID Process Control Algorithm Based on Offshore Oil and Gas Platform. In Journal of Physics: Conference Series (Vol. 1486). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1486/3/032039
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