Development of an intelligent control system for wood drying processes

IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Volumn 1, Issue , 2001, Pages 371-376

  Xiaochun George Wang, ^a   Liu, W ^a   Gu, L ^a   Colin Jian Sun, ^a   Caikang Elton Gu, ^a   De Silva, C W ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

Experimental modeling; Fuzzy logic; Intelligent control; Lumber drying; Wood moisture control

Indexed keywords

ATMOSPHERIC HUMIDITY; COMPUTER SIMULATION; DRYING; FEEDBACK CONTROL; FUZZY SETS; INDUSTRIAL APPLICATIONS; INTELLIGENT CONTROL; KILNS; KNOWLEDGE BASED SYSTEMS; LUMBER; MATHEMATICAL MODELS; MOISTURE; WOOD;

FUZZY ADAPTIVE CONTROLLERS;

ADAPTIVE CONTROL SYSTEMS;

MOISTURE CONTENT;

EID: 0034866171     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Sticker thickness and air velocity
2. Development and validation of a kiln-wide model for drying of softwood lumber
3. Modeling of airflow in wood kilns
4. Industrial lumber drying and its internal model conception for control system design
5. Evaluation of electric moisture meters on kiln dried lumber
6. Gravimetric system to determine the moisture content of wood during drying process
7. An automated weight-based system for kiln control
8. Quality wood drying estimation through moisture, temperature, pressure and shrinkage measurements
9. Application of computer method to lumber drying schedule development and prong test analysis
10. Self-tuning controllers for the kiln drying process
11. Fuzzy logic control of baking TWIX candies
12. Modeling and adaptive control of a kiln dryer for wood