Fuzzy neural network-based oxygenator pressure control method
A fuzzy neural network and pressure control technology, applied in the field of medical equipment, can solve the problems of high pressure of molecular sieve adsorption tower, inability to ensure high-performance operation of oxygen generator, penetration and other problems
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[0096] Example: A Fuzzy Neural Network-Based Oxygen Concentrator Pressure Control Method
[0097] Include the following steps:
[0098] The first step is to construct a fuzzy neural network controller, which includes an antecedent network and a posterior network.
[0099] See attached figure 1 As shown in , FNNC is the fuzzy neural network controller, u(k) represents the control quantity, and K is the coefficient of the fuzzy neural network control quantity.
[0100] In this embodiment, the fuzzy controller adopts a double-input (two-dimensional) single-output structure.
[0101] The antecedent network is used to match the antecedents of the fuzzy rules, and the posterior network generates the consequents of the fuzzy rules. For the structural diagram of the fuzzy neural network controller, see the attached figure 2 .
[0102] The antecedent network has four layers.
[0103] The first layer is the input layer of the antecedent network. The total number of nodes in the ...
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