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Author: search.filters.author.Chen, GuanrongHas files: No

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    Chen System as a Controlled Weather Model - Physical Principle, Engineering Design and Real Applications
    (2018-04-01)
    Sooraksa, Pitikhate
    ;
    Chen, Guanrong
    This paper presents the Chen system as a controlled weather model. Mathematically, the Chen system is dual to the Lorenz system via time reversal. Physically, the Chen system can be viewed as a controlled weather model from the anti-control perspective. This paper illustrates the physical principle of this controlled weather model, and develops an engineering design of the model for real indoor climate (temperature-humidity) regulation, with a perspective on outdoor weather control application.
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    New construction of mixed-mode chaotic circuits
    (2010-01-01)
    Klomkarn, Kitdakorn
    ;
    Sooraksa, Pitikhate
    ;
    Chen, Guanrong
    This paper presents a simple scheme for designing mixed-mode chaotic circuits using quadrature core oscillators. Two mixed-mode circuits are constructed by using a few operational amplifiers in suitable combination with some autonomous/nonautonomous second/third-order chaotic circuits. Simulation and experimental results have verified the simplicity and effectiveness of the new design. © 2010 World Scientific Publishing Company.
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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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    Design and implementation of fuzzy P2ID controller for handlebar control of a bicycle robot
    (2002-01-01)
    Sooraksa, Pitikhate
    ;
    Pattaradej, Thana
    ;
    Chen, Guanrong
    This paper presents the design and implementation of a new fuzzy proportional-integration plus fuzzy proportional-derivative control scheme, named the fuzzy P<sup>2</sup>ID controller hereafter, for controlling the handlebar of a bicycle robot with time-varying load (disturbance). The fuzzy P<sup>2</sup>ID controller combines some advantages of the fuzzy PI controller and the ones of the fuzzy PD controller, which can compensate their individual shortcomings. Detailed design is described, along with the implementation of the integrated computer-aided designed bicycle control system. Functionally, the controller is a nonlinear controller with variable gains, providing the expected fast response and robustness. Structurally, it is an embedded version of a conventional PI controller and a PD controller, which has an additional fuzzy control block, where a switching rule of control signal is also implemented. Experimental results show the effectiveness of the new control scheme for controlling the handlebar of a bicycle robot, built from "off-the-shelf" parts with completely unknown hardware parameters. Comparison tests among several existing fuzzy controllers as well as the conventional PID controller have been conducted, so as to evaluate the superior performance of the new scheme. This new control scheme can be directly applied to general robotic systems and other industrial processes under similar physical conditions.
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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.