Improving Sliding Mode Control with Chattering Reduction using Fuzzy Based Technique

The constant power failure in our society this time around that had jeopardized business activities were caused by the following factors that could not attain their respective thresholds, Steady-State Tracking Error , Chattering Amplitude ,Chattering Frequency ,Settling Time ,Overshoot , Boundary Layer Thickness ,Actuator Position Oscillation, Actuator Torque Oscillation and Sensor Noise Influence . This consistent power failure in the society was surmounted by introducing improving sliding mode control with chattering reduction using fuzzy based technique. To vividly achieve this, it was done in this manner sliding mode control with chattering reduction was characterized and the causes of poor sliding mode control with chattering reduction was established and a conventional SIMULINK model for sliding mode control with chattering reduction was designed. Then, a fuzzy rule base for minimization of poor sliding mode control with chattering reduction was developed and an algorithm that would implement the process was equally developed. later, a SIMULINK model for improving sliding mode control with chattering reduction using fuzzy based technique was designed and the results obtained were validated and justified. The results obtained were, the conventional Steady-State Tracking Error that causes poor sliding mode control with chattering reduction was 6% which did not fall within the bench mark. On the other hand, when Fuzzy based technique was integrated into the system, it simultaneously became4.8% which is within the threshold and the conventional Sensor Noise Influence that causes of poor sliding mode control with chattering reduction was18dB. Meanwhile, when Fuzzy based technique was incorporated into the system, it immediately increased to27.5dB. Finally, with these results obtained, it meant that the percentage improvement in sliding mode control with chattering reduction when fuzzy based technique was integrated was52.8%