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Linear Interpolation Using Siemens S7-1200
(2025-01-01)
Maneerat, Noppadol
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Wongworrada, Tharathorn
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Cheypoca, Thepjit
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Sepsirisuk, Kasemsuk
This research is a continuation of the research on circular interpolation use siemens s7-1200 [1] It presents the movement of 3 axes, $x y z$, as a method of moving in a curve that is controlled by programmable logic control (PLC). In the future research, PLC will be used to control linear movement straightly. The work will be in the original format, but change the equation used to move in a straight line instead.
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Apply PLC to Control 3-Axis Machines
(2025-01-01)
Cheypoca, Thepjit
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Thaiyai, In
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Maneerat, Noppadol
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Narkthewan, Athasart
This report presents a method of using PLC (Programable Logic Control) to control the work instead of the 3-Axis machine position controller. PLC is popularly used in various types of control systems. It has a lot of control capabilities, is efficient, stable, durable, easy to use, and cheap. It is the use of commands to control the work of all 3 axes, 2 axes, and 1 axle. The commands used for moving in both straight lines and curves, and there are other devices that need to be controlled together with the machine that is being controlled.
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Partial Discharge Classification with Transformer Neural Networks
(2024-01-01)
Cheypoca, Thepjit
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Promphanich, Wiboon
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Thway, Aung Ye
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Hankae, Angelina Phimpissada
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Jeenmuang, Siwakorn
This paper introduces an approach with the Transformer Neural Networks model for partial discharge patterns classification, that consists of corona discharge, internal discharge and surface discharge. The PD measuring circuit suggested in IEC 60270:2000 is used to record Partial discharge signals. Independent parameters such as phase and charge of PD patterns were recorded. The phase value will be encoded into the charge array and Transformer Neural Network is constructed using Positional Embedding and Transformer Encoder Layer. 80% of the recorded data will be used as a training data and 20% recorded data was used for testing of the classification models. Impacts of neuron numbers and network architecture on the PD classification performance will be observed
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Partial Discharge Classification With 1D Convolutional Neural Network
(2024-01-01)
Cheypoca, Thepjit
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Promphanich, Wiboon
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Thway, Aung Ye
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Hankae, Angelina Phimpissada
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Jeenmuang, Siwakorn
This paper introduces a novel approach for classifying with the 1D Convolutional Neural Network model for partial discharge patterns, that consists of corona discharge, surface discharge and internal discharge. The PD measuring circuit suggested in IEC 60270:2000 is used to record Partial discharge signals. Independent parameters such as phase and charge of PD patterns were recorded. The Artificial Neural Network for the classification model was constructed. Moreover, 2×1D CNN feature extraction was utilized to reduce the curse of dimensionality in the dense layer of the proposed PD classification model. 80% of the recorded data will be used as a training data and 20% recorded data was used for testing of the classification models. Impacts of neuron numbers and network architecture on the PD classification performance will be observed.
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Circular Interpolation using Siemens S7-1200
(2023-01-01)
Cheypoca, Thepjit
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Luanpol, Amata
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Wuti, Virot
This article proposes a way to control the movement of the step motor drive to control the movement of the 3 axes using a programmable logic controller (PLC) working instead of a numerical controller (NC). The workpiece can be milled the way it is needed, but the ability to control peripherals is limited, as it is a specific control system used to move the desired position. But the limitation of smaller PLC is that there is no order used to move directly as a curve, so a higher level of PLC is required, so smaller PLC are used to program curves with circular interpolation methods [1] to enable the use of curved motion.
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Using a Smartphone to Assist in Physical Therapy
(2021-04-01)
Cheypoca, Thepjit
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Anuntahirunrat, Kongsak
In this paper, the use of accelerometer, gyroscope, magnetometer and GPS. A basic sensors available on smartphones, in the treatment of paresis symptoms, patients as a way of encouraging physical therapy on their own without having to travel to the hospital. And it is a burden to doctors and physiotherapists, making it possible to serve a large number of patients will explored. It also provides therapeutic information to improve individual physical activity. A smartphone that attached to the patient at a given location.It sends values from sensors to databases in the cloud. The data provided by the database will analyze and diagnosed by doctors and physiotherapists.
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Using an android devices as mobile extensible HMIs
(2020-07-01)
Cheypoca, Thepjit
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Anuntahirunrat, Kongsuk
In this paper, an android application monitoring and control with programmable logic controller (PLC) system is proposed, which helps the production engineer self-correct the system without restriction of time and place. The proposed android application consists of smart phone, access point and PLC Siemens S7-1200. The feasibility of this method is illustrated by experimental using different parameter databases. Recognition results show this approach is efficient.
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A prototype system to count nursery pacific white shrimp using image processing
(2018-12-10)
Boksuwan, Sungwan
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Panaudomsup, Sumit
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Cheypoca, Thepjit
This paper proposes a counting system for estimating the biomass of nursery-stage pacific white shrimp in an indoor cultured tank using an image processing technique. The outcome is to reduce an over feed and water quality issue. As a result, it leads to the reduction of an operation cost in an indoor production system because the operation cost is mainly caused by feed and water treatment. Shrimp’s biomass is directly used to determine an amount of feed. In Thailand, farmers currently use the sampling cup to sample and estimate a shrimp density. This traditional method depends on the experience and provide roughly estimation. Moreover, farmers are facing a labor issue. The proposed system is designed to estimate a shrimp’s density automatically. The system consists of a sampling cup, sampling mechanism and counting unit. In image processing, colour, size and shape are used as three main features of the nursery-stage shrimp for distinguishing from their environments. The proposed method leads to more precise estimation of the density. The experimental results obviously reveal the effectiveness of the proposed system.
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Evaluation of explicit model predictive temperature control for on-off air conditioner
(2017-12-13)
Chesof, Abdulhafiz
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Boksuwan, Sungwan
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Panaudomsup, Sumit
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Cheypoca, Thepjit
The objective is to evaluate the performance of an explicit model predictive control for controlling the room temperature actuated by the on-off air conditioner to minimize the energy usage by reducing the working time of a compressor. There are a lot of on-off air conditioners already installed in the educational building in Thailand. To replace all of those by the inverter air conditioner or HVAC system, the high investment cost is required. Therefore, the on-off air conditioners continue to work in such building. The effective solution may be the low cost control unit which is simple like a remote control. The method is to design the remote control embedded by the temperature sensor and the explicit model predictive control that is based on the off-line optimization. The experiment is performed in the laboratory room with dimension 4×7×3.5 m (WxLxH) actuated by Saijo Denki 18,320 Btu on-off air conditioner. The experimental results reveal that the temperature reaches the desired value 25 degree Celsius within 10 minute and keeps fluctuating between 23 and 26 degree Celsius. The working time of compressor is reduced 33.33 %. The result shows that the explicit model predictive control is effective for the remote control application in terms of the implementation and energy saving.
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High performance periodical paths tracking of two-dimensional handheld micromanipulator using explicit model predictive control
(2017-02-18)
Boksuwan, Sungwan
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Cheypoca, Thepjit
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Chesof, Abdulhafiz
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Kanamori, Chisato
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Panaudomsup, Sumit
The paper proposes an explicit model predictive control framework for a two-dimensional handheld micromanipulator to track periodical reference paths within microscopic working range and for all holding angles of users' hand. The control objective is to achieve a minimum tracking error and a wide bandwidth. The micromanipulator's design is oriented to such bio cell treatments. Its structure consists of two flexible decoupling links, each of which is driven by the combination of electric coils and permanent magnets as an actuator. In the experiments, the proposed framework is compared with two types of PID controllers, parameters of which are designed by Skogestand's IMC and IMC method based on the underdamped transfer function, respectively. The experimental results exhibit the effectiveness of the two-dimensional handheld micromanipulator controlled by the model predictive control framework over the PID controller ones.

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