About Heating Plants Control System Developing on Basis of Neural Network Usage for PID-Regulator Parameters Optimization
2014 ◽
Vol 682
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pp. 80-86
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Keyword(s):
An adaptive control system implementation is described. Such system is based on a neural network, used for online PID-regulator coefficients tuning. The backpropagation online training method is used. It is modified by adding a rule base. It contains conditions on choosing neural network learning rate. PID-regulator with neural tuner and conventional PID-regulator were used as regulators during the process of heating furnace control modeling. Such experiments were made for different loading furnace modes and setpoint schedules. The 11% economy of time on setpoint schedule realizing was achieved with the help of proposed neural tuner..
2000 ◽
2011 ◽
Vol 131
(11)
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pp. 1889-1894
2018 ◽
Vol 06
(01)
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pp. 32-36
1994 ◽
Vol 04
(01)
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pp. 23-51
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Keyword(s):