| The paper mainly focuses on the fuzzy control of the Unstable object like the ' teeterboard'. Based on traditional fuzzy controller we introduced a new kind of dynamic fuzzy logic controller in order to improve the performance of the control systematic in stability and response time. From the analysis of the traditional fuzzy control principle, we construct the corresponding static fuzzy controller, and then add a new dynamic fuzzy controller on this controller to enhance the fuzzy control system. The main works in the thesis are the following:Section One: After introduced the background of unstable object control, both domestic and international. The existing control methods of unstable object were summarized and described, also we analysis its achievement and defects, then introduce our dynamic fuzzy controller.Section Two: Give many kinds of fuzzy control theory includes basic fuzzy math and the fuzzy control system structure design. According to traditional static fuzzy controller design method we can development our new dynamic fuzzy controller. This section describes the specific structure of the dynamic fuzzy controller and its implemented procedure.Section Three: In this section the differential equation of the unstable object 'teeterboard' is given out. Though under the method of fuzzy control, it is not necessary to know the detailed mathematics model of controlled object, to carry out emulation process, the math model is still needed. For 'teeterboard', an SIMO system, we choose to describe it using state equation.Section Four: How to use the Matlab-simulink toolbox to realize the simulation of fuzzy controller is introduced in detail. During the simulation, one dynamic fuzzy controller is implemented to optimize the static fuzzy controller. With this, the 'teeterboard' could be controlled in a better way. Through the emulation result of those two methods, we can see the control effect of dynamic fuzzy controller is better than traditional static fuzzy controller... |
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