Apply fuzzy PID rule to PDA based control of position control of slider crank mechanisms

This paper proposes a fuzzy PID control scheme to control the position of a slider crank coupled with a PM synchronous motor. By the Hamilton principle and Lagrange multiplier method, the mathematical formula is derived. On the basis of relationship of input and output, a fuzzy inference rule is made up. The nominal parameters of PFD are first decided on no-load condition. The varying ranges of parameters of PID are chosen under full-load condition. The fuzzy rule is used to intelligently tune the optimal parameters among these ranges under operating condition. To demonstrate the potential of the proposed rule, a prototype board is developed in this paper. A PC based operating platform is used to have human interface characteristic and fast process capability. Finally, the numerical simulation and experimental results show the robustness of the fuzzy PID control for position control of slider crank mechanisms.

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