Neural-fuzzy control system application for monitoring process response and control of anaerobic hybrid reactor in wastewater treatment and biogas production

Journal of Environmental Sciences

Volumn 22, Issue 12, 2010, Pages 1883-1890

  Waewsak, Chaiwat ^a   Nopharatana, Annop ^a   Chaiprasert, Pawinee ^a  

^a KING MONGKUT'S UNIVERSITY OF TECHNOLOGY THONBURI   (Thailand)

Author keywords

Anaerobic hybrid reactor; Influent feed flow rate; Neural fuzzy control system; Process response

Indexed keywords

BIOGAS PRODUCTION; COD REMOVAL; CONTROL AND MONITOR; FEED FLOW RATE; FEEDING RATE; HIGH STABILITY; HYBRID REACTOR; INFLUENT FLOW RATE; INITIAL OPERATION; INPUT DATAS; METHANE YIELD; MONITORING PROCESS; NEURAL-FUZZY CONTROL SYSTEM; OPERATION PHASE; ORGANIC LOADING RATES; PROCESS RESPONSE; QUICK RESPONSE; RAPID RESPONSE; THREE PHASIS; VOLATILE ACIDS;

ALKALINITY; BACKPROPAGATION ALGORITHMS; BIOGAS; CONTROL SYSTEM APPLICATIONS; CONTROL SYSTEM STABILITY; CONTROL SYSTEMS; FUZZY CONTROL; FUZZY LOGIC; FUZZY SYSTEMS; METHANE; NEURAL NETWORKS; REMOTE CONTROL; WASTEWATER; WASTEWATER TREATMENT; WATER TREATMENT PLANTS;

PROCESS CONTROL;

BIOFUEL;

ALKALINITY; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BIOGAS; CHEMICAL OXYGEN DEMAND; CONTROL SYSTEM; FUZZY MATHEMATICS; MONITORING SYSTEM; WASTEWATER;

ANAEROBIC GROWTH; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOREACTOR; FUZZY LOGIC; WASTE MANAGEMENT;

ANAEROBIOSIS; BIOFUELS; BIOREACTORS; FUZZY LOGIC; NEURAL NETWORKS (COMPUTER); WASTE MANAGEMENT;

EID: 78649944143     PISSN: 10010742     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1001-0742(09)60334-X     Document Type: Article

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