Abstract
Abstract
Liquid level is one of the control parameters widely used in industrial production. Accurate control of liquid level bears on the quality, efficiency and market of products, as well as the effect and safety of production. Therefore, the research on liquid level control has practical significance and broad application prospects. In view of this, this article firstly briefly analyzes the characteristics of the single-tank water tank level system, and then focuses on the realization of classical, fuzzy and neural network PID (Proportion Integral Differential) algorithm for the single-tank water tank level system. Finally, the validity of algorithm is proved by the system real-time simulation curve, which provides a more comprehensive reference for similar control systems.
Subject
General Physics and Astronomy
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