Self-Tuning Pid Neural Network Controller to Control Nonlinear pH Neutralization in Waste Water Treatment  

Oleh:

Cordova, Hendra ; Wijaya, Andry Fitra

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: IPTEK: The Journal for Technology and Science vol. 18 no. 3 (Aug. 2007), page 89-95.
Topik: pH Neutralization; PID Controller; Backpropagation Training; Neural Network

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: MM48.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

The conventional PID control (linear) is popular control scheme that is used in almost pH control at waste water treatment process. pH model with respect to titration liquid flow rate has been known to be intrinsically difficult and nonlinear, especially when the process is conducted to nonlinear range pH reference (pH 4-8), the settling time reach a long time. Therefore in this paper the nonlinear controller with self-tuning PID scheme is performed handle pH by training a neural-network based on backpropagation error signals. The pH process model is combination between CSTR (Continous Stirred Tank Reactor) linear dynamic with H3PO4, HF, HCl, H2S flow rate and nonlinear ststic electro neutrality (wiener process model). The simulation result show the pH control system can follow the change of pH set-point and load with the average steady state error 0.00034. The settling time achieved at 50 second faster than conventional PID controller scheme.

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