Selection of controller for machine tool application by using analytical hierarchy process

This research basically discusses the selection of the controller for machine tool application by using Analytical Hierarchy Process (AHP) method. AHP is defined as a method of multi-attribute decision making that has been developing by Dr. Thomas L. Saaty in the year 1970. N. Bhushan and K. Rai [1] writes, the Analytic Hierarchy Process (AHP) is an efficient methodology created in late 1970 to structure the experience, instinct and heuristics-based decision making into well characterized approach by using the mathematical principles. Nowadays, there is a huge challenge in determining the most suitable controller to use in the system. The selection of controller involves many factors and requires careful attention to avoid the malfunction of the system. By using AHP method, a hierarchy framework model to arrange the best controller design decisions is made. Then, a few sets of sensitivity analysis were carried out by using Expert Choice software. The final result shows the best controller for machine tool application is Cascade controller with a score 39.1% of priority index, SMC controller is in second place with a score of 37.4% and PID controller with a score 23.5%.