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Self-balancing Robot Control Using Fractional-Order PID Controller
(2019-01-01)
Kankhunthodl, K.
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Kongratana, V.
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Numsomran, A.
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Tipsuwanporn, V.
This paper presents a two-wheeled robot control that can balance upright on its own by controlling the angular speed of the motor to keep the robot upright using measured data from the gyroscope sensor. The aim of this study is to demonstrate the design of fractional-order PID controller (FOPID) that has more controllability and the ability to adjust outperform traditional PID controller. The design of optimal FOPID controller based on integer-order PID parameters are explained and validated its performance compared with the traditional PID controller using Matlab simulation. As well as the real system experiment is implemented on Raspberry Pi using IIR filters cascaded second-order section form II. The study revealed the appropriate concept of implementation of FOPID on the real system.
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A study of flow-level cascade control with WirelessHARTTM transmitter using LabVIEW
(2017-12-13)
Somkane, Pongsakorn
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Kongratana, V.
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Gulpanich, S.
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Tipsuwanporn, V.
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Wongvanich, N.
This work presents a cascade control architecture to combat network induced delays in Wireless network controlled systems. Specifically a flow-level cascade control system is considered whereby the primary process variable is liquid level, and the secondary process variable is the flow rate. The flow-level process variables are measured by Wireless HART differential Pressure (DP) transmitter and sent through a WirelessHART gateway. Control actions are provided by a control valve actuator which is manipulated through a PLC. The PLC and the WirelessHART gateway are managed by an OPC server providing a medium of communication. The PID controller gains are designed through the LabView software, in which the network induced delays is offset by adjusting the controller interval until the responses are satisfactory. Results show that cascade control outperformed the single loop control, in both handling network induced delays and coping with disturbances.
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Similarity Model of MWA Thailand Water System for Error Estimation of Ultrasonic Flow Meter
(2017-01-01)
Wachirapunyanont, R.
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Kongratana, V.
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Gulphanich, S.
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Suesut, T.
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Nunak, N.
This paper proposed a similarity model of MWA water system using the dimensional analysis based on the theory of Buckingham Pi for error estimation of transit-time ultrasonic flow meter with clamp-on at different installation conditions. There were three main parameters groups, i.e., pipe characteristic, meter installation, and fluid characteristic and properties and could be arranged in five Pi terms, i.e. E×(L<inf>e</inf>/D), µ/ρvD, L<inf>e</inf>/D, U<inf>s</inf>/D and U<inf>s</inf>/D. The results showed that the relative errors of measurement increased with the decreasing of upstream and downstream of meter at the same velocity and there was a possibility to use the model to determine the correction factor to compensate the velocity measurement of ultrasonic flow meter as the installation could not comply with the requirement. However, the further experiments should be performed for validation of the model predictive equation i.e., E 0.3607 E <sup>.</sup> p m.
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Servo state feedback control of the self balancing robot using MATLAB
(2012-12-01)
Kongratana, V.
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Gulphanich, S.
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Tipsuwanporn, V.
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Huantham, P.
In this paper, the servo state feedback control of the self balancing robot is proposed. Balancing robot system to control is used ADXL3xx accelerometer as sensors to measure the angle and angle changes and then sends signals to the Servo motor for robot can balance the stability, respectively. Self Balancing robot control are application of MATLAB / Simulink program which served to simulation the process system and control self balancing robot in real-time by FiO board. More importantly, the robot system use Servo state feedback control that is implemented on FiO Board. Finally, the results from simulation with the experimental results from to comparison. The results shown that servo state feedback control system designed and implement to the FiO Board can stabilize the self balancing robot are satisfied. © 2012 ICROS.
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IMC-based PID controllers design for torsional vibration system
(2012-12-01)
Kongratana, V.
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Tipsuwanporn, V.
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Numsomran, A.
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Detchrat, A.
In the paper presents performance speed control design of PID controllers for a torsional vibration system based on internal model control (IMC). For the model of the trosional vibration suppression in two-mass system which includes an IMC filter must be selected properly so that the designed IMC controllers can be approximated as PID controller by using Maclaurin approximation, are increasingly required in embedded system implemented on microcontrollers, oriented controlled ac motor drive system trosional vibration mechanical system, the characteristics of speed controller and typical IMC-PID speed controller. The simulation and experiment results verify the applicability and satisfied performance of the proposed control system. © 2012 ICROS.
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Controller design base on servo state feedback for two-wheeled balancing robot
(2012-01-01)
Huantham, P.
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Kongratana, V.
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Gulphanich, S.
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Tipsuwanporn, V.
This paper presents the controller design for the two-wheeled balancing robot system. The proportional- derivative (PD) controller was designed to compare the performance with servo state feedback controller designed by pole placement technique. Both controllers are used to stabilize the two-wheeled balancing robot system. Simulation results show that servo state feedback design can stabilize the balancing robot. Moreover, the presence of its large deviation angle is also better than PD controller.
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Design of PLC networks using remote I/O module based on controller area network
(2001-09-22)
Roengruen, P.
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Suesut, T.
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Tipsuwanporn, V.
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Kongratana, V.
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Kulphanich, S.
In this paper, the design of the networks system through CAN bus is presented. To distribute the control points with a long distance and different located for the application to on-off electrical equipment by the remote I/O module. The controlling and communication between the PLC and the remote I/O modules are used by the CAN bus serial communication. In this paper, the experiment has been set up the maximum of 32 remote I/O modules. Each remote I/Os are linked to host PLC programmed for handling a interrupt request from any remote I/O independently. Therefore, the scanning time of the controller not effects. By using this technique, the controller(PLC) can be efficiently applied to the several hundred meters.
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A design Neurofuzzy controller for level process control
(2001-01-01)
Tipsuwanporn, V.
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Koetsam-Ang, N.
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Kongratana, V.
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Numsomran, A.
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Suesut, T.
This paper presents the design and implementation of Neurofuzzy controller self-organizing for tuning the fuzzy logic parameter using back-propagation neural network. The controller is implemented by software on a microcomputer to control the unknown transfer function system of real plant for testing the learning efficiency of self-organizing and proper parameter tuning that scaling factor(g<inf>0</inf>, g<inf>1</inf>) is set from experimental corresponded with process characterization and designer experience. The results are shown that the performance of this controller improved in term of set point compared with PID standard controller.

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