Speed Control of Permanent Magnet Brushless DC Motor Using Hybrid Fuzzy Proportional plus Integral plus Derivative Controller

The main core of this work is to investigate two different digital controllers (Conventional PID Controller and Hybrid Fuzzy PID) on closed loop control of Permanent Magnet Brush Less Direct Current (PMBLDC) Motor. The application of intelligent control (fuzzy logic) technique is attempted in a Proportional -Integral-Derivative (PID) controller for tuning their parameters automatically in an online process. In-order to achieve desired speed, Hybrid Fuzzy-PID provides the finest set of solutions. The conventional PID controller and Hybrid Fuzzy-PID controller performances are analyzed both in steady state and dynamic operating condition with various set point speeds. The rise time, dead time, settling time and steady state error are the parameters considered for comparison. The results prove that, the Hybrid Fuzzy-PID controller offers better performance (Improvement in rise time, Reduction in settling time, No steady sate error) over the conventional PID controller. The simulation makes use of LabVIEW Fuzzy PID tool and it is implemented in real time through NI-DAQ 6009 with PMBLDC motor which is rated at 36V, 4A, 4000 RPM. (C) 2017 The Authors. Published by Elsevier Ltd.