IDENTIFICATION OF ENZYMATIC DIGESTION AND FERMENTATION RATES IN SAKE MASH USING THE EXTENDED KALMAN FILTER METHOD

被引:0
|
作者
OHTSUKA, K
TANIGUCHI, T
YOKOI, H
机构
关键词
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Enzymic digestion and fermentation rates are identified for 19 examples of actual sake mash processes in Akita prefecture using the extended Kalman filter method. As well as the digestion and fermentation rates, their temperature coefficients are also identified so that the estimated mash processes can agree better with the actual ones. The digestion rates are about 3 percent per 100 percent of raw materials per day. The temperature coefficient of the digestion rates differs according to the kind of raw material used. The temperature coefficient is smaller in the case of using what is termed "rice suitable for making sake" than it is when using what is designated as "rice for eating". The digestion rates at the maximum temperature in sake mash processes are also lower in the case of the former. It is thus noted that mash processes with the "rice suitable for making sake" should be controlled at a lower temperature state for a longer period. The fermentation rates are about 1 percent per 100 percent of digested materials per day. The temperature coefficient of the fermentation rates does not differ with different kinds of "kobo", while the fermentation rates at the maximum temperature in sake mash processes are low, increasing in the order of Akita Hana kobo, Kyokai No. 9 kobo and kyokai no. 7 kobo. It is further noted that the fermentation process using the so-called "Ginjoh kobo" is much slower under the condition of what is known as "Ginjoh sake making".
引用
收藏
页码:465 / 472
页数:8
相关论文
共 50 条
  • [31] Fuzzy membership function optimization for system identification using an extended Kalman filter
    Kosanam, Srikiran
    Simon, Dan
    NAFIPS 2006 - 2006 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1 AND 2, 2006, : 480 - +
  • [32] System identification using the neural-extended Kalman filter for control modification
    Stubberud, Stephen C.
    Kramer, Kathleen A.
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 4449 - +
  • [33] Online-Identification of the Induction Machine Parameters Using the Extended Kalman Filter
    Buchholz, Oleg
    Boecker, Joachim
    Bonifacio, Joao
    2018 XIII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2018, : 1623 - 1629
  • [34] IDENTIFICATION OF THE NONLINEAR FRICTION CHARACTERISTICS IN A HYDRAULIC ACTUATOR USING THE EXTENDED KALMAN FILTER
    Chinniah, Yuvin
    Burton, Richard
    Habibi, Saeid
    Sampson, Eric
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2008, 32 (02) : 121 - 136
  • [35] Structural damage identification using adaptive extended Kalman filter with unknown inputs
    State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing
    210016, China
    Zhendong Gongcheng Xuebao, 6 (827-834):
  • [36] IDENTIFICATION OF HYDRODYNAMIC COEFFICIENTS OF A ROBOTIC FISH USING IMPROVED EXTENDED KALMAN FILTER
    Dang, Fengying
    Zhang, Feitian
    PROCEEDINGS OF THE ASME 10TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2017, VOL 1, 2017,
  • [37] Identification of Hammerstein-Wiener ARMAX Systems Using Extended Kalman Filter
    Mansouri, M.
    Tolouei, H.
    Shoorehdeli, M. Aliyari
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 1110 - +
  • [38] IDENTIFICATION OF HYDRODYNAMIC DERIVATIVES FROM AUV "PIRAJUBA" USING EXTENDED KALMAN FILTER
    Mendonca Pinheiro, Andre Ricardo
    de Barros, Ettore Apolonio
    2013 SYMPOSIUM ON COMPUTING AND AUTOMATION FOR OFFSHORE SHIPBUILDING (NAVCOMP 2013), 2013, : 11 - 16
  • [39] Sensor position identification and vehicle state estimation using the extended Kalman filter
    Slimi, H.
    Sentouh, C.
    Mammar, S.
    Nouveliere, L.
    INTELLIGENT SYSTEMS AND AUTOMATION, 2008, 1019 : 41 - 46
  • [40] ONLINE SYSTEM IDENTIFICATION ON LEARNED ACOUSTIC MANIFOLDS USING AN EXTENDED KALMAN FILTER
    Hardenbicker, Till
    Jax, Peter
    2024 18TH INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT, IWAENC 2024, 2024, : 339 - 343