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- W2363072092 abstract "Conventional PID controller depends on mathematics model to get good control performance. To pursue better effect, a type of PID controller based on artificial neural is proposed, and its improved algorithms are present. A second-order plant with deadtime which is common in industry nowadays is chosen as control object, mathematical model is created and realized through computer simulation. The result of simulation indicates that the controller is a combination of neural network and the PID rules. It has not only the simple structure and definite physical meaning as with a classical PID controller, but also the self-learning ability as neural net. What's more, this controller produces more preferable control quality than a classical PID controller." @default.
- W2363072092 created "2016-06-24" @default.
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- W2363072092 date "2005-01-01" @default.
- W2363072092 modified "2023-09-23" @default.
- W2363072092 title "Simulation of PID Controller Based on Artificial Neural Cell and Its Improved Algorithms" @default.
- W2363072092 hasPublicationYear "2005" @default.
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