Description: Fuzzy Logic Examples using Matlab,we need to control the speed of a motor by changing the input voltage. When a set point
is defined, if for some reason, the motor runs faster, we need to slow it down by reducing
the input voltage. Platform: |
Size: 310272 |
Author:erdem |
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Description: Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy logic toolbox of MATLAB, the system has been simulated. The simulation results show that the Fuzzy PI-Smith system has faster response speed and smaller overshoot than the traditional PI-Smith system.The explicit formulation of Fuzzy PI-Smith system is derived, and it lay the basis for the practical application of control algorithms.strategy can do well in controlling the tail temperature. And the FuzzyPI-Smith system can get better dynamic characteristic and effectively overcome the problems by pure lag with the traditional - Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy logic toolbox of MATLAB, the system has been simulated. The simulation results show that the Fuzzy PI-Smith system has faster response speed and smaller overshoot than the traditional PI-Smith system.The explicit formulation of Fuzzy PI-Smith system is derived, and it lay the basis for the practical application of control algorithms. strategy can do well in controlling the tail temperature. And the FuzzyPI-Smith system can get better dynamic characteristic and effectively overcome the problems by pure lag with the traditional Platform: |
Size: 11264 |
Author:李闯 |
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Description: Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy logic toolbox of MATLAB, the system has been simulated. The simulation results show that the Fuzzy PI-Smith system has faster response speed and smaller overshoot than the traditional PI-Smith system.The explicit formulation of Fuzzy PI-Smith system is derived, and it lay the basis for the practical application of control algorithms. Platform: |
Size: 1024 |
Author:李闯 |
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Description: This is a BS Final Year Project of electrical engineering which is about Design of a Neuro Fuzzy Logic Controller for Speed Control of a DC Motor in MATLAB. Platform: |
Size: 1217536 |
Author:Tanoli Khan |
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