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Subject: search.filters.subject.Fuzzy control

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    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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    Enhanced model and fuzzy strategy of air to fuel ratio control for spark ignition engines
    (2012-09-01)
    Jansri, Anurak
    ;
    Sooraksa, Pitikhate
    Various mathematical models for the air to fuel ratio and control for spark ignition (SI) engines have been proposed to satisfy technical specifications. This paper reveals an improvement of the mean value model (MVEM) and a simple yet effective nonlinear control to enhance the air to fuel regulator. The regulator is designed by using a discrete fuzzy PI algorithm, which provides easy tuning, robustness, and rapid development with a simple architecture. Effects on the dead time, exhausted delay, time-varying air flow and chaotic disturbance are also included. The computer simulation results show satisfactory performance based on standard evaluation criteria. The proposed model has a great potential for practical implementations. © 2011 Elsevier Ltd. All rights reserved.
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    Incorporating ObjectStab library and fuzzy logic toolbox for design of power system damping controller
    (2008-12-26)
    Ngamroo, Issarachai
    ;
    Somritvanitcha, Boonrat
    ;
    Hongesombut, Komsan
    ObjectStab is a general purpose simulation tool for power system stability studies developed by Modelica which is an object-oriented modeling language. It provides enough modeling flexibility to allow addition or modification of new power system components. This article describes an incorporated use of ObjectStab library and fuzzy logic toolbox in Matlab/Simulink to enhance the application of this library into fuzzy control design environment. The example provided here is the modeling of the static synchronous series compensator (SSSC) which is the new device developed in the ObjectStab. In addition, the interface of ObjectStab with Matlab/Simulink for an SSSC damping controller design by fuzzy logic toolbox is explained step by step. In fuzzy control design, a simple approach to extract membership functions and fuzzy logic control rules based on observed signals is presented. Simulation studies in a two-area four-generator power system confirm the effectiveness of the fuzzy controller of SSSC designed by the incorporated use of ObjectStab and fuzzy logic toolbox. © 2008 Wiley Periodicals Inc.
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    A new hybrid fuzzy proportional-derivative phase-locked-loop controller for DC servomotor speed control
    (2007-08-01)
    Sooraksa, Pitikhate
    ;
    Li, Chung Wai
    ;
    Damrongporn, Phuwanat
    Some research work has been heading to the promising direction of enhancing conventional controllers with various powerful intelligent features. In this pursuit, the paper presents a new fuzzy-based phase-locked loop (FPLL) controller for DC servomotor speed control. Fuzzy logic provides fast response and enhances robustness of the system while PLL control gives excellent steady state system performance. Unlike the past literatures, this fuzzy-based controller employs a proportional-derivative (FPD) controller, which is constructed precisely based on rigorous mathematical analysis instead of using look-up tables, with stability guaranteed. Simulation and experimental results have signified the design objectives and been accomplished. The proposed new fuzzy-based PLL controller gives a better dynamic performance compared to a conventional PID controller. Copyright © 2007 Watam Press.
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    On Comparison of Hybrid Fuzzy PI Plus Conventional D Controller Versus Fuzzy PI+D Controller
    (2004-02-01)
    Sooraksa, Pitikhate
    ;
    Chen, Guanrong
    This letter points out that a comparison given in an earlier paper by Er and Sun is incorrect. The fuzzy PI+D controller designed by Misir et al. is overall better than the hybrid fuzzy PI plus conventional D controller designed by Er and Sun.
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    On comparison of a conventional proportional-integral plus derivative controller versus a fuzzy proportional-integral plus derivative controller: A case study of subsystem failure
    (2002-01-01)
    Sooraksa, Pitikhate
    ;
    Chen, Guanrong
    A conventional PI+D controller is a practical structure of PID typed controllers, widely used in industry and mechatronic applications today. In addition, many fuzzy-control-based versions, embraced the linear structure of the conventional PI+D controller, have been designed and implemented. Although there are many reports proving a superior performance of these fuzzy versions over the conventional ones, there is still a controversy argument over the trade-off between the simplicity and the effectiveness with regard to the implementation as "pros and cons" for these two types of controllers. To help clarify these concerned issues, this paper presents a detailed study on comparison of the conventional PI+D controller versus a fuzzy Pl+D controller in case of a subsystem failure. Simulations on an induction AC motor are carried out as part of the investigation. In case of failure in the feed-forward path of the PI control subsystem, the finding shows that the conventional controller fails to perform whereas the fuzzy controller remains working very well.