FUZZY LOGIC PID SPEED CONTROLLER FOR BRUSHLESS DC MOTOR DRIVES | ||
| The International Conference on Electrical Engineering | ||
| Article 54, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Pages 1-8 PDF (118.25 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/iceeng.2008.34293 | ||
| Author | ||
| Kh. I. Saleh | ||
| Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University. | ||
| Abstract | ||
| Abstract: A simple but robust fuzzy speed controller for the brushless dc motor drives is proposed. The output is adjusted by fuzzy rules according to the current value of the speed error and the associated rate of change. Using only five triangular membership functions with twenty-five rule-base inference engine, the implementation of the controller was made possible. The proposed controller mixes two control actions, the fuzzy logic controller as proportional derivative control action and a non-fuzzy integral controller to eliminate the steady state error. The overall controller design is equivalence to proportional-integral-derivative (PID) controller. The fuzzy logic controller plays the main role and the added integral controller is just to provide a variable bias to eliminate the steady state error at every load condition. The sampling time in the designed controller is 200 s. Which allows the use of low speed-processing device in the implementation of the control algorithm. The proposed speed controller succeeded in controlling the speed of a brushless dc motor over all operating speed range of the drive. From the response results, it is found that the controller operates like adaptive controllers but without the complication needed to do it adaptively. The performance of the proposed controller was assessed in terms of several simulation cases. The responses due to step set point change and load disturbance showed that the proposed controller is controlling the speed of the brushless dc motor drive with fast nonoscillatory behavior. The proposed controller makes the control system response similar over a wide range of operating points. | ||
| Keywords | ||
| Fuzzy Logic controller; PID self-tuning controller; Speed Control; brushless DC motor drives | ||
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