A Model Reference Adaptive Control (MRAC) System for the Pneumatic Valve of the Bottle Washer in Beverages Using Simulink

被引:14
|
作者
Mushiri, Tawanda [1 ,2 ]
Mahachi, Abigail [2 ]
Mbohwa, Charles [1 ]
机构
[1] Univ Johannesburg, Dept Mech Engn Sci, Fac Engn & Built Environm, Auckland Pk Campus,POB 524, ZA-2006 Johannesburg, South Africa
[2] Univ Zimbabwe, Dept Mech Engn, POB MP167, Harare, Zimbabwe
关键词
Model Reference Adaptive Control (MRAC); Pneumatic valve; Bottle washer; root cause; Model Reference Adaptive Fuzzy Control (MRAFC); Artificial Intelligence (AI);
D O I
10.1016/j.promfg.2016.12.003
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
One of the most important processes in beverage manufacturing companies is the bottle washing process. When the bottles are returned from the customers they are first cleaned in the bottle washer before they can be reused. The pneumatic valve of the bottle washing machine which controls the discharge of clean bottles sometimes sticks or fails which results in significant loss of production in the plant since all the other processes which follow depend on the bottle washing machine. The main causes of failure are temperatures and pressure outside the required ranges, and also minor contributions by moisture and abrasive particles. These parameters were controlled by designing a Fuzzy Logic Controller using MATLAB and it was found that pressure and temperature should be maintained between 0.5 - 2.99 bars and 50 - 85 degrees C, respectively, with moisture levels at 2.5% and dust levels at 0.5 %. This is an artificial intelligent (AI) technique whereby the system will be able to plan, sense, reason, act and learn in a human intelligent way. Two solutions were developed to control the operation of the valve in cases of disturbances and non linearity, namely; the Model Reference Adaptive Fuzzy Controller (MRAFC) and MRAC with PID controllers. Simulations were carried out and the MRAFC design showed excellent tracking results as compared to MRAC PID controller. (C) 2017 Published by Elsevier B.V.
引用
收藏
页码:364 / 373
页数:10
相关论文
共 50 条
  • [1] ACCURATE SUB-MILLIMETER SERVO-PNEUMATIC TRACKING USING MODEL REFERENCE ADAPTIVE CONTROL (MRAC)
    Zhu, Yong
    Barth, Eric J.
    [J]. INTERNATIONAL JOURNAL OF FLUID POWER, 2010, 11 (02) : 43 - 55
  • [2] 2-DOF PLANAR MOTION CONTROL SYSTEM USING MODEL REFERENCE ADAPTIVE CONTROL (MRAC) ALGORITHM
    Luk, Andrew M. Y.
    Fung, Eric H. K.
    Gan, W. C.
    [J]. INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION - 2012, VOL 9, PTS A AND B, 2013, : 271 - 280
  • [3] Force control in a pneumatic system using hybrid adaptive neuro-fuzzy model reference control
    Kaitwanidvilai, S
    Parnichkun, M
    [J]. MECHATRONICS, 2005, 15 (01) : 23 - 41
  • [4] Adaptive vibration suppression of a smart flexible beam using direct model reference adaptive control (MRAC)
    Fei, J
    Song, G
    [J]. SMART STRUCTURES AND MATERIALS 2004: MODELING, SIGNAL PROCESSING, AND CONTROL, 2004, 5383 : 406 - 416
  • [5] Model reference adaptive control using delta-operator with neural network for pneumatic servo system
    Sakamoto, M
    Matsushita, T
    Mizukami, Y
    Tanaka, K
    [J]. SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, : 771 - 776
  • [6] A robust control for induction motor using a Variable Structure Model Reference Adaptive Control (VS-MRAC)
    Furtunato, AFA
    Salazar, AO
    de Araujo, AD
    [J]. CIEP'98: VI IEEE INTERNATIONAL POWER ELECTRONICS CONGRESS, TECHNICAL PROCEEDINGS, 1998, : 61 - 69
  • [7] Model Reference Adaptive Control for DC Motor Based on Simulink
    Munadi
    Akbar, M. Amirullah
    Naniwa, Tomohide
    Taniai, Yoshiaki
    [J]. 2016 6TH INTERNATIONAL ANNUAL ENGINEERING SEMINAR (INAES), 2016, : 101 - 106
  • [8] Model Reference Adaptive Control (MRAC) Implementation for an Industrial Pilot Stirrer Process
    Singh, Ajith B.
    Jothi, Anie Selva A.
    Jananisri, S.
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI), 2017, : 2072 - 2076
  • [9] Model Reference Adaptive Control (MRAC) Without Integral for Glycerin Bleaching Process
    Jalil, Mohd Hafiz A.
    Taib, Mohd Nasir
    Rahiman, Mohd Hezri Fazalul
    Nordin, Noor Nasriq
    Kasuan, Nurhani
    [J]. 2014 IEEE 10TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2014), 2014, : 111 - 116
  • [10] Model reference adaptive control with neural network for electro-pneumatic servo system
    Tanaka, K
    Yamada, Y
    Sakamoto, M
    Uchikado, S
    [J]. PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2, 1996, : 1130 - 1134