Pengendali PID Swatala Berbantuan Jaringan Syaraf Tiruan  

Oleh:

Mulyadi, Melisa

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI - atma jaya
Dalam koleksi: Atma nan Jaya vol. 10 no. 2 (Aug. 1997), page 75-88.
Topik: network; Propotional; Integral; Differential; dynamic process; physical characteristic; Artificial Neural Network
Fulltext: Melisa Mulyadi.pdf (478.59KB)

Ketersediaan

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Isi artikel

Physical characteristic changes of equipment in an industrial process may cause disturbances that cannot be handled only by a conventional controller. To adapt any change occuring in the system it is necessary to have adaptive controller, i.e self tuning PID (Proportional, Integral, Differential) control system using an Artificial Neural Network (ANN). The ANN as an adaptive computational method, is used to handle the dynamic process. The back propagation network ANN is utilized to help a PID controller to determine the parameters in improving the system's performance. The ANN and PID controller build a selftuning controller i.e. controller which can tune its control of the parameter automatically. This self tuning PID cntroller is implemented in a process commonly used in industries. It appears that this self-tuning PID controller can improve the system's performance whenever any change in the process parameters occurs.

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