LabVIEW based Intelligent Controllers for Speed Regulation of Electric Motor

LabVIEW (laboratory virtual instrument engineering workbench) is gaining its popularity as a graphical programming language not only for data acquisition and measurement but also for designing intelligent controllers for real time control purpose. This paper describes about the intelligent controller designed and developed in LabVIEW for speed regulation of DC motor. Artificial neural network, fuzzy logic and neuro-fuzzy controller are developed to achieve accurate trajectory control of speed especially when DC drive and load dynamics are unknown. The nonlinear unknown dynamics are capture by training the Artificial neural network and tuning the fuzzy control algorithm. The developed controller utilizes the same chopper driven DC motor. Experimental results are presented to demonstrate the effectiveness of these controllers. Comparison reveals the advantage of neuro-fuzzy controller over artificial neural network controller and fuzzy controller