BLDCM LabVIEW-based Fuzzy Adaptive PID Control

With the development of Power Electronic and Permanent-magnet Technology, Permanent Magnet BLDCM has become a mature novel DC motor not only because of its simple structure,reliable operation and convenient maintenance as AC motor but also for its favorable speed regulating performance.However,since the Permanent Magnet BLDCM speed regulating system is a non-linear Multivariable time-varying one,traditional PID control methodology can not be utilized with good performance.As to solve the aforementioned problem,a fuzzy adaptive PID controller is employed which utilized fuzzy inference method to achieve PID parameter automatic regulating,then a speed regulation system for Permanent Magnet BLDCM is designed in LabVIEW.Main contributions of this dissertation include the following aspects:The mathematical model of Brushless DC Motor is established and the Double Closed Loop PID control is implemented in Matlab,therefore the motor speed, torque,phase current and back EMF are obtained.The fuzzy rule and membership function are defined in terms of the step response error curve.Then the adaptive fuzzy PID controller is designed.The speed regulating system including the designed controller is implemented.Comparisons between PID controller and the presented controller are made.The adaptive fuzzy PID is presented using the fuzzy toolbox in LabVIEW,the control output and speed are obtained by DAQ.The L6235 driving IC is chosen for Brushless DC Motor,and the Peripheral hardware circuits are designed so that the real Motor speed regulating system is established.Both of the simulation and real experimental results demonstrate the presented adaptive fuzzy PID controller is better than traditional PID controller and fuzzy controller.Furthermore,it is non-overshoot,fast response and strong robustness.