New intelligent in-series DC motor controller / Abu Zaharin Ahmad

This thesis presents a new in-series controller for a permanent magnet (PM) DC motor
speed control. Instead of using a feedback loop speed sensor to monitor the DC motor
speed, the back-EMF voltage in the DC motor is employed as a means of determining
the speed of the DC motor. The advantage of this technique is the elimination of the
speed sensor feedback loop, which may imply simplistic DC motor system, lower cost
and smaller controller design.
To evaluate the performance of the new controller scheme, three controller algorithms
were developed and applied in real-time. These controllers are the PID controller, which
is widely accepted and used; fuzzy based proportional-derivative (FPD) and fuzzy based
proportional-integral (FPI) controllers. The performances of these controllers were
evaluated based on the control system theory, which includes transient response analysis
and tracking capabilities.
The results obtained in this thesis show that the proposed technique for indirectly
measuring the DC motor speed via its back-EMF was successful and all of the three
controllers have work with comparable performances.