Control system of soda carbonization technique based on neural network and control method thereof
A neural network and process control technology, which is applied to the soda ash carbonization process control system based on neural network and its control field, can solve the problem that the utilization rate of raw materials is not high, the conversion rate of raw material utilization rate is not high, it is difficult to ensure the quality of full-load production products, and the system fluctuates greatly. and other problems to achieve the effect of increasing sodium conversion rate, improving automation level, and reducing consumption
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[0024] The working principle of the present invention is to establish a non-linear model of carbonization tower characteristics (temperature and flow) according to the historical data of carbonization tower operation by using the black box modeling principle and applying neural network modeling algorithm by analyzing the reaction mechanism of carbonization tower. According to the established network model, the particle swarm optimization algorithm is applied to optimize the output temperature to obtain the optimal value of a set of flow, and use this optimal value as the set value of the controller to control the action of the actuator to realize the carbonization process. optimal control.
[0025] attached figure 1 It is a functional block diagram of the system, including a neural network controller 1, a neural network identifier 2, a model library 3, a particle swarm optimizer 4, a data acquisition channel 5 and a carbonization tower 6; Channel 5 is connected to the input ...
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