2011Science Technology and EngineeringRequires access

The Design of a New Double Fuzzy Controller

Zhou Ni-na

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Abstract

Many controlled plant has time-variable and non-linear properties in actual.It is hard to control when used normal control methods.Fuzzy controller is based on personal experiences and has good robustness.It can control linear or nonlinear system well.A new kind of double fuzzy controller is designed based on fuzzy controller to control a typical nonlinear system.The result shows double fuzzy controller can reduce steady-state error of the plant,other characteristic such as settling time,speed of response and overshoot is also prior to normal PID controller and fuzzy controller.

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What this paper is about

Many controlled plant has time-variable and non-linear properties in actual.It is hard to control when used normal control methods.Fuzzy controller is based on personal experiences and has good robustness.It can control linear or nonlinear system well.A new kind of double fuzzy controller is designed based on fuzzy controller to control a typical nonlinear system.The result shows double fuzzy controller can reduce steady-state error of the plant,other characteristic such as settling time,speed of response and overshoot is also prior to normal PID controller and fuzzy controller.

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Available abstract

Many controlled plant has time-variable and non-linear properties in actual.It is hard to control when used normal control methods.Fuzzy controller is based on personal experiences and has good robustness.It can control linear or nonlinear system well.A new kind of double fuzzy controller is designed based on fuzzy controller to control a typical nonlinear system.The result shows double fuzzy controller can reduce steady-state error of the plant,other characteristic such as settling time,speed of response and overshoot is also prior to normal PID controller and fuzzy controller.

Key concepts: Control theory (sociology), Fuzzy logic, Settling time, Open-loop controller, PID controller, Overshoot (microwave communication), Control engineering, Robustness (evolution)

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