Nonlinear Control Method for Combustion Temperature of Alcohol Based Fuel Boilers Based on Gradient Descent Algorithm and Momentum Factor
The relationship between the combustion temperature and control parameters of alcohol based fuel boilers is not a simple linear rela-tionship,which increases the difficulty of control.A nonlinear control method for the combustion temperature of alcohol based fuel boilers based on gradient descent algorithm and momentum factor is proposed.Establish a three-dimensional airflow flow equation for an alcohol based fuel boiler,and determine temperature nonlinear control parameters such as combustion rate,the difference between actual temperature and expected temperature,and the rate of change of the difference.Build a fuzzy neural PID controller for combustion temperature control,use gradient descent algorithm and momentum factor to train the weights of the PID neural network,and input the obtained temperature nonlinear control parameters into the trained fuzzy neural PID controller to achieve non linear control of the combustion temperature of alcohol based fuel boilers.The experimental results show that the proposed method is accurate in calculating the combustion rate,the difference between actual temperature and expected temperature,and the rate of change of the difference.The temperature control accuracy is high,the temperature change rate is low,the fuel energy utilization rate is high,and the practical application effect is good.
gradient descent algorithmmomentum factoralcohol based fuel boilerfuzzy neural PID controllercombustion temperature control
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