The Experts below are selected from a list of 3291 Experts worldwide ranked by ideXlab platform

Jamal Ghobadi Dizaj Yekan - One of the best experts on this subject based on the ideXlab platform.

  • simulation of temperature controller for an injection Mould Machine using fuzzy logic
    Journal of Mathematics and Computer Science, 2013
    Co-Authors: Seyed Kamaleddin, Mousavi Mashhadi, Mehdi Zahiri Savzevar, Jamal Ghobadi Dizaj Yekan
    Abstract:

    This research introduces a method for designing a linear fuzzy controller to control the temperature in an injection Mould Machine. First, a time-delay system is introduced as the temperature control system. The fuzzy controller system is composed of a heater transfer function controller and a decision maker. Both the controller and the decision maker are designed using fuzzy logic, and simulated in MATLAB. For facilitating the implementation of the fuzzy circuit, a linear equation is estimated from fuzzy equations using regression method, and its response is compared to that of the fuzzy controller. Finally, a PID controller is designed and its response is compared to the response of the fuzzy system.

Seyed Kamaleddin - One of the best experts on this subject based on the ideXlab platform.

  • simulation of temperature controller for an injection Mould Machine using fuzzy logic
    Journal of Mathematics and Computer Science, 2013
    Co-Authors: Seyed Kamaleddin, Mousavi Mashhadi, Mehdi Zahiri Savzevar, Jamal Ghobadi Dizaj Yekan
    Abstract:

    This research introduces a method for designing a linear fuzzy controller to control the temperature in an injection Mould Machine. First, a time-delay system is introduced as the temperature control system. The fuzzy controller system is composed of a heater transfer function controller and a decision maker. Both the controller and the decision maker are designed using fuzzy logic, and simulated in MATLAB. For facilitating the implementation of the fuzzy circuit, a linear equation is estimated from fuzzy equations using regression method, and its response is compared to that of the fuzzy controller. Finally, a PID controller is designed and its response is compared to the response of the fuzzy system.

Hongfu Zhou - One of the best experts on this subject based on the ideXlab platform.

  • simulation on temperature fuzzy control in injection Mould Machine by simulink
    International Conference on Networking Sensing and Control, 2008
    Co-Authors: Hongfu Zhou
    Abstract:

    This research introduces a fuzzy linear control design method for the temperature control in injection Mould Machine. The temperature control system is a time delay system, which is description in first order system on transfer function. The temperature control fuzzy model has two inputs and one output, and using trapezoidal membership function for fuzzification. In the research it uses Simulink in MatLab to simulate fuzzy control, and get the best fuzzy parameter. The simulation method can be used as chose fuzzy parameters in embedded system of the temperature controller.

Mousavi Mashhadi - One of the best experts on this subject based on the ideXlab platform.

  • simulation of temperature controller for an injection Mould Machine using fuzzy logic
    Journal of Mathematics and Computer Science, 2013
    Co-Authors: Seyed Kamaleddin, Mousavi Mashhadi, Mehdi Zahiri Savzevar, Jamal Ghobadi Dizaj Yekan
    Abstract:

    This research introduces a method for designing a linear fuzzy controller to control the temperature in an injection Mould Machine. First, a time-delay system is introduced as the temperature control system. The fuzzy controller system is composed of a heater transfer function controller and a decision maker. Both the controller and the decision maker are designed using fuzzy logic, and simulated in MATLAB. For facilitating the implementation of the fuzzy circuit, a linear equation is estimated from fuzzy equations using regression method, and its response is compared to that of the fuzzy controller. Finally, a PID controller is designed and its response is compared to the response of the fuzzy system.

Mehdi Zahiri Savzevar - One of the best experts on this subject based on the ideXlab platform.

  • simulation of temperature controller for an injection Mould Machine using fuzzy logic
    Journal of Mathematics and Computer Science, 2013
    Co-Authors: Seyed Kamaleddin, Mousavi Mashhadi, Mehdi Zahiri Savzevar, Jamal Ghobadi Dizaj Yekan
    Abstract:

    This research introduces a method for designing a linear fuzzy controller to control the temperature in an injection Mould Machine. First, a time-delay system is introduced as the temperature control system. The fuzzy controller system is composed of a heater transfer function controller and a decision maker. Both the controller and the decision maker are designed using fuzzy logic, and simulated in MATLAB. For facilitating the implementation of the fuzzy circuit, a linear equation is estimated from fuzzy equations using regression method, and its response is compared to that of the fuzzy controller. Finally, a PID controller is designed and its response is compared to the response of the fuzzy system.