Abstract
The tendency of miniaturizing semiconductor products towards nano-size transistor in integrated chips has motivated this work on the semiconductor package. Consequently, Four Fuzzy PID controller architectures based on type 2 FLC are developed; the Interval Type-2 Fuzzy Logic PID, IT2FLC PID MOALO-based, IT2FLC PI-PD, and IT2FLC PI-PD MOALO controllers. These architectures are improved to overcome the inherent nonlinearity in X-Y table models and capacitate the uncertainties of the parameters and the disturbances. Both controllers are designed to improve the desired position specification at minimum settling time (Ts), rise time (Tr), overshoot through minimization of oscillation and friction rejection during tracking the desired position trajectory. The ant lion optimization (ALO) algorithm has been efficiently solved optimization problems with minimum parameters and execution time. Hence, Multi-Objective Ant Lion Optimizer (MOALO) has been implemented to size the gains of the proposed controllers to get the desired position trajectory according to the required specification. A comparison with a related existing work shows minimal numerical values of improved transient specification response of Tr, Mp% and Ts for the MOALO- Based developed IT2 FLC PID and IT2 FLC PI-PD architectures. Observation of a higher Maximum Percentage of Enhancement settling time is noticed in both axes within the IT2FLC PI-PD architecture. Accordingly, transient performances of the four architectures have been significantly improved. The improvement is noticeable within the response of IT2FLC PI-PD architecture. The Maximum Percentage of Enhancement in the X-axis and Y-axis has been improved more than eight-fold and six-fold respectively using IT2FLC PI-PD architecture.
Highlights
The XY table has been an important part of computer numeric controlled (CNC) machines of processing facilities [1] [2]
Patrick et al presented the real-time controls of Non-Minimum Phase (NMP) XY Table system using trajectory Zero Phase Error Tracking Controller (ZPETC)
Multi-Objective Ant Lion Optimizer (MOALO) has been implemented to size the gains of the proposed controllers to get the desired position trajectory according to the required specification
Summary
The XY table has been an important part of computer numeric controlled (CNC) machines of processing facilities [1] [2]. CNC is one of the bases that result in releasing the industrial in a fast way especially the last decades. One of these CNC architectures is the two-dimension (X-Y) motion table of semiconductor packaging. The. X-Y table control system has to manage the imprecision positioning, inaccuracy tracking, sluggish transient response and steady-state error [3]. The semiconductor industries, as wire bonding and die mounting, have great challenges of rapid trajectory tracking motions with highly accelerated responsiveness [6]. These challenges introduce stability and sensitivity issues. The transient position specification has been optimized the desired position specification at minimum settling time (Ts), rise time (Tr), overshoot through minimization of oscillation
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