Performance Monitoring for Extraction System in Tapioca Starch Industry using State-Space Model

被引:0
|
作者
Pairin, Arthit [1 ]
Koolpiruck, Diew [1 ]
Songkasiri, Warinthorn [2 ]
机构
[1] King Mongkuts Univ Technol Thonburi, Dept Control Syst & Instrumentat Engn, Bangkok, Thailand
[2] Natl Ctr Genet Engn & Biotechnol, Excellent Ctr Waste Utilizat & Management, Bangkok, Thailand
关键词
Fine Extraction; Starch Extraction; Performance Monitoring; State Space; Cassava Starch;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a monitoring system for tracking the performance of fine extractor in tapioca starch production process. The unit performance can be improved by the operators if they can monitor. State space model representing the starch extractor, was used for estimating starch and pulp inputs by using starch and pulp outputs. The extractor outputs were measured to calculate the extraction performance. The proposed method was tested with a pilot scale conical screen fine extractor and simulated by MATLAB/SIMULINK. The result showed that the monitoring method yielded the accuracy of 94.0% and 98.4% for starch extraction and pulp removal efficiency, respectively.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Performance Monitoring for Separator System in Tapioca Starch Industry using State-Space Model
    Ariyawong, Arithat
    Koolpiruck, Diew
    Songkasiri, Warinthorn
    [J]. 2015 12TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2015,
  • [2] Grid performance prediction using state-space model
    Kalantari, Mohammad
    Akbari, Mohammad Kazem
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2009, 21 (09): : 1109 - 1130
  • [3] Model abstraction results using state-space system identifications
    Popken, DA
    [J]. ENABLING TECHNOLOGY FOR SIMULATION SCIENCE IV, 2000, 4026 : 160 - 171
  • [4] State Delays Extraction in the Fractional-Order State-Space Model
    Ostalczyk, Piotr
    Bakala, Marcin
    Nowakowski, Jacek
    [J]. NON-INTEGER ORDER CALCULUS AND ITS APPLICATIONS, 2019, 496 : 204 - 216
  • [6] METHOD OF MONITORING REACTOR SYSTEM BY STATE-SPACE TRAJECTORY PATTERN
    NOMURA, T
    TSUNODA, T
    KANEMOTO, S
    [J]. PROGRESS IN NUCLEAR ENERGY, 1988, 21 : 299 - 307
  • [7] Extraction of structural system matrices from an identified state-space system using the combined measurements of DVA
    Ko, WJ
    Hung, CF
    [J]. JOURNAL OF SOUND AND VIBRATION, 2002, 249 (05) : 955 - 970
  • [8] Performance Evaluation of Flood Level Estimation Method Using State-Space Model with Time-Series Monitoring Data
    Hiroi, Kei
    Kohiga, Akihito
    Fukaya, Sho
    Shinoda, Yoichi
    [J]. INFORMATION TECHNOLOGY IN DISASTER RISK REDUCTION, ITDRR 2023, 2024, 706 : 52 - 65
  • [9] Chaos System Filter on State-space Model and EKF
    Chen Yong
    Liu Xia
    Huang Qi
    Zhang Changhua
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3, 2009, : 1259 - 1263
  • [10] STATE-SPACE MODEL FOR STUDENT POPULATION IN AN EDUCATIONAL SYSTEM
    SINHA, NK
    DICENZO, CD
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1975, SMC5 (04): : 437 - 440