Intelligent Fuzzy PD Controllers Design for XY Table of Semiconductor Packaging Based on ALO

Abstract

Computer numerical control (CNC) machines have resulted in releasing the industry in a fast way, especially in the last decades. One of those CNC structures is the two-dimension (XY) motion table of semiconductor packaging. The type of process that is done by these machines is quite precise in positioning stage. The (XY) table has a nonlinear model which is caused by both of the electrical parts and the motion friction parts, and that leads to making the positioning process inaccurate. This paper presents two intelligent fuzzy logic controllers (FLC) that are used in controlling the motion position of the (XY) table nonlinear model. The first controller is the fuzzy proportional derivative PD-like FLC and the second is feedback fuzzy PD-like FLC with forwarding gain. The Ant-Lion Optimizer (ALO) will use to obtain optimal controllers gains based on cost function which gives minimum control signal characteristics of a minimum settling time, rise-time and proper overshoot. Results show enhancement in the proposed controllers via control signal characteristics compared with the previous works in literature.