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Author: search.filters.author.Krongratana, V.

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    PLC-based industrial temperature controller with different response times
    (2017-12-13)
    Gulpanich, S.
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    Krongratana, V.
    ;
    Srimuang, Arthit
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    Tipsuwanporn, V.
    ;
    Wongvanich, N.
    This work presents a temperature control of industrial ovens using block FB58 'TCONT-CP' from the Siemens S7-300 PLC, which is evaluated by the OB35 interrupt. Two plants were considered. The first plant was a small industrial oven made of aluminum of size 1.5 cm × 5 cm and taking in 60 W of heat. The second plant was a large industry oven with a 0.125 m<sup>3</sup> capacity, capable of exuding 1500 W of heat. Both experiments were controlled by the same Block Command and ovens were tested separately. The Cohen-Coon PID tuning method was firstly applied to both plants, with a separate controller values being obtained for each plant. These values were kept fixed throughout the experiments. A tailored approach was adopted whereby a pulse gen was used in conjunction with the PID control for the small plant; whereas a control zoning was used for the larger plant. Result show that the tailored approach yielded significant improvements in settling times compared to a conventional PID controller.
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    Fire detection using neural network
    (2006-12-01)
    Tipsuwanporn, V.
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    Krongratana, V.
    ;
    Gulpanich, S.
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    Thongnopakun, K.
    This study aims to investigate the effectiveness of image processing by using artificially neural network to detect fire in the room by using camera. This uses features of flame images in a simulation fire as input elements, is considered. Flame images are taken from the dynamic image, and features of the images for the ANN application are extracted from a rectified image which considers the difference in distance from the CCD color to the fire source. © 2006 ICASE.
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    Energy saving of three-phase induction motor using fuzzy controller
    (2006-12-01)
    Tipsuwanporn, V.
    ;
    Intajag, S.
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    Harnnarong, S.
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    Krongratana, V.
    This paper presents energy saving of three-phase induction motor, which is operated in regenerative mode. In this mode, the energy flows back into DC link voltage and causes to occur high voltage in capacitor that may be destroy the capacitor and switching component such an IGBT. The proposed method presents connection buck converter circuit between the rectifier diodes and the inverter, to control the voltage feeding into the inverter by using two fuzzy controllers. The first fuzzy controller will be managing the switching duty cycle of buck converter. The second fuzzy controller, which provide to control the switching component of braking circuit. The second controller will be synchronized with the first controller to balance the energy of the capacitor. © 2006 ICASE.
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    Fuzzy Logic PID controller based on FPGA for process control
    (2004-12-01)
    Tipsuwanporn, V.
    ;
    Runglimmawan, T.
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    Intajag, S.
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    Krongratana, V.
    In this paper, a fuzzy proportional integral derivative (PID) controller, which is fabricated on a Field Programmable Gate Array (FPGA). is proposed to conitrol an ilndustrial process. The fuzzy logic is provided to tune the PID parameters by using a gain scheduhng method. The tuning scheme is represented by a fuzzy svsten. which consists of fuzzification, rule inference and defuzzification. The fabricated FPGA chip, XC2S50-Stq-144. is embedded with the fuzzy system. which the chip is called fuzzv-PID controller. The fuzzy-PID controller is contained several circuits, such as multiplier, adder, subtraction and some of the otlher logic gate. The controller system uses two converter cards: TDA8763AM/3 (10 bits, high speed) to convert from analog to digital signal, DAC08 (8 bits) to convert from digital to analog. The maximum speed of the controller about 2.1 psec per action at 40.550 AIH.Z. is calculated from timing summary. The fuzzy-PID controller based on FPGA is verified by using to control model of level and temperature process. From the experimental results of the level and temperature control. the fuzzy-PID controller lhas achieved and shown the better performance than stanidard PID controller E50AK. which is automatic tuneable parameter system.©2004 IEEE.
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    Automation Reverse Osmosis System using Computer Analyze
    (2003-10-01)
    Tipsuwanpom, V.
    ;
    Anotaiadikoon, J.
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    Gulpanich, S.
    ;
    Krongratana, V.
    ;
    Witheephanich, K.
    As Pure & Drinking water system is universally employed in Industrial,Reverse Osmosis System (ROS) has been becoming increasingly popular due to efficiency in Salt & Organic Rejection of it. However membrane system need regular cleaning. This paper present a new method for automation cleaning Reverse Osmosis System using Computer monitoring Process & analyze Trend of membrane performance & discuss enter to automation cleaning. The membrane performance consist of TDS, Water Flow, Pressure and Temperature. These variable analyzed for automation cleaning in order to maintain productivity and performance of RO System.