Low cost fuzzy logic based speed control of BLDC motor drives

In this article, an embedded system approach for closed-loop speed control of BLDC motor drive is implemented and its performance with Proportional Integral control (PI) and fuzzy controllers are investigated. The PI controller is well designed and its parameters are well tuned by using Ziegler Nichols method. The fuzzy controller is also designed and considered for comparison. The performance of the system is studied under various operating conditions, such as sudden change in the reference speed and load torque. For validating the results, steady-state error and rise time are taken in account for comparison. It is observed that fuzzy controller provide a superior speed response compared to PI and better speed tracking make this to fit in adjustable speed drives. The simulation is carried out in MATLAB software and implemented the same in hardware.