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    A Directional Control Auxiliary Thrust System to Increase the Forward Speed of a Quadcopter UAV
    (2024-01-01)
    Srijun, Chanapan
    ;
    Depaiwa, Nattawoot
    This research introduces a method to increase the horizontal speed of a quadcopter UAV using an auxiliary thrust system that can be adjusted in direction. The researcher used thrust vectoring control to align the thrust direction with the unmanned aircraft's longitudinal axis. A method for controlling a device mechanism using a proportional-integral-derivative (PID) control system. Based on the test results, it has been concluded that the Ziegler–Nichols Method in P controller, the Ziegler–Nichols Method in PD controller, and the Trial-and-Error method in PID controller are the most effective methods for maintaining system stability and achieving the setpoint. It took 0.693, 1.441, and 0.563 seconds respectively to reach the desired value. The researcher used computational fluid dynamics and equations of motion to simulate a UAV's speed. The simulation results of using 25% additional thrust while moving at a 2-degree angle showed that the unmanned aerial vehicle's speed increased by 35.3% compared to the unmanned aerial vehicle without the auxiliary thrust system. When the pitch angle was increased to 5 degrees, the speed of the UAV increased by 15.9%. At higher pitch angles of 10 degrees, the UAV's speed increased by 6.86%. Finally, at pitch angles of 15 degrees, the speed of the UAV increased by 4.97%.
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    Simple level control plant model using LabVIEW
    (2018-01-06)
    Rerkratn, Apinai
    ;
    Luangpol, Amata
    ;
    Prasitmeeboon, Pitcha
    ;
    Petchmaneelumka, Wandee
    This paper presents a design and implementation of water level control plant model used as learning aid in the level control process. The plant model consists of a differential pressure transmitter, Frequency Inverter and Proportional-Integral-Derivative (PID) Controller. The differential pressure transmitter is used for measuring liquid level in process tank, and Inverter is employed to adjust the inlet flow of the tank. The PID controller can be configured by a PID function of LabVIEW program. In addition, two flow transmitters and solenoid valve are also installed to monitor the flow rate and/or cascade additional control loop in the future. The procedure to implement the plant model are divided into 5 steps: Controlling liquid level in cylinder tank with 10 cm in diameter and 40 cm in height were specified, sizing and selecting instruments needed, implementing the plant model according to the designed Piping & Instrument (P&I) diagram and Solid Work drawing, designing the control program and human machine interface (HMI) screen in LabVIEW program and the control parameters for single-loop controller modeled TTM-007, and evaluating the performances of implemented plant model. The experimental results of step changes of set point are also included and compared to the result from the plant using a commercially available single loop controller.
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    PLC-based industrial temperature controller with different response times
    (2017-12-13)
    Gulpanich, S.
    ;
    Krongratana, V.
    ;
    Srimuang, Arthit
    ;
    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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    PIDA Controller Realized on Commercial IC Current Feedback Operational Amplifiers
    (2017-01-01)
    Buakaew, S.
    ;
    Narksarp, W.
    ;
    Wongtaychatham, C.
    ;
    Sangpisit, W.
    In this paper, the circuit-realization of the proportional – integral – derivative – acceleration (PIDA) controller is presented. The circuit is realized with commercially available active components i.e. only four current feedback operational amplifiers (CFOAs) along with passive R and C components. The parameters of the PIDA controller including the proportional gain, the integral time, the derivative time and acceleration gain can be easily adjusted via these resistors and/or capacitors. The proposed PIDA controller offers simple structure with a small number of active elements to be used. The computer simulations results utilizing commercial IC AD844 are demonstrated to confirm the validity of the proposed PIDA controllers.
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    Design of PID controller for the modified quadruple-tank process using inverted decoupling technique
    (2011-12-01)
    Numsomran, Arjin
    ;
    Tipsuwanporn, Vittaya
    ;
    Trisuwannawat, Thanit
    ;
    Tirasesth, Kitti
    This paper presents the approach to design PID controller for a modified quadruple-tank process using inverted decoupling technique. In case of non-minimum phase, TITO system, such as modified quadruple-tank process which can't be controlled by PID controller with standard decoupling technique because the system can't be stabled by saturating manipulate signal. With the proposed method, The inverted decoupling controllers, decreasing the cross coupling between inputs and outputs, transform TITO plant transfer function model into SISO form so that SISO controller for each SISO model can be designed by Root Locus Technique easily and efficiently. PID controller with inverted decoupling can stabilize an unstable non-minimum-phase system and minimize several undesirable influences from an interaction in TITO process. The results from control system design can be illustrated by the experiments. © 2011 ICROS.