Sooraksa, Pitikhate

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Sooraksa, Pitikhate
Alternative Name
Sooraksa, P.
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Email
pitikhate.so@kmitl.ac.th

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    Item type:Publication,
    Fuzzy strategy with overshoot suppressor for electronic throttle control
    (2016-05-09)
    Jansri, Anurak
    ;
    Chatpoj, Montri
    ;
    Phatrapornnant, Teera
    ;
    Sooraksa, Pitikhate
    Electronic throttle actuator is a nonlinear device which has various factors, such as delay time of backlash, gear friction, throttle valve friction and stiffness of spring, can affect to the responsiveness of vehicle control. The major impact on electronic throttle control is the return spring load. It can cause both overshoot and undershoot behaviors while the electronic throttle operates. This paper presents an overshoot/undershoot suppressor technique by using anti-windup algorithm with simple architecture to eliminate unwanted behaviors. In the experiment, a conventional PID controller and the proposed fuzzy-PI controller are used, and also implemented into microcontroller chip. In addition, this paper reveals a single phase driver circuit for hardware setup. The experiment results show that the controllers with proposed overshoot suppressor can perform effectively. The controller performance is evaluated by using standard criteria: an integral of square error (ISE), an integral of absolute error (IAE), a maximum overshoot (OVM) and a maximum settling time (STM).
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    Item type:Publication,
    Floating robots by fuzzy algorithm
    (2004-12-01)
    Chatpoj, Montri
    ;
    Purahong, Boonchana
    ;
    Thossansin, Thossaporn
    ;
    Sooraksa, Pitikhate
    This paper is talking about using Fuzzy PI controller in order to help controlling the gap in magnetic levitation system (Maglev). The details of this paper concerns about the model of maglev system which is applied to floating robot; it is also about how to use Fuzzy PI controller for assisting the maglev system in order to make this system more accurate and faster. From the simulation which compared the reactions between Fuzzy PI and the original PI, it showed that Fuzzy PI had faster response without swaying the output values while it was reaching the setpoint values. Therefore, the Fuzzy PI is suitable for using to control the Maglev system in floating robot.