Adaptive Control and Enhanced Algorithm for Efficient Drilling in Composite Materials

Due to their inexpensive cost and superior qualities compared to conventional metals, Glass Fibre Reinforced Plastic (GFRP) composites are frequently used in engineering applications.Despite the development of numerous non-traditional drilling methods, traditional mechanical drilling methods based on CNC machines are still utilized as the primary applications for composites due to their financial advantages.Damage in the composite materials during the drilling process due to delamination often happens.The delamination has directly related to the drilling force.A dynamic model of the drilling force is a function of the feed rate.Due to the unpredictable nature of the composite material's physical and chemical properties, it may be challenging to realize the dynamics of the drilling process in this material.In this paper, the mathematical model of the drilling process is obtained experimentally based on system identification.Then, to address the problem of controlling the drilling force of composite materials, this paper proposes a Model Reference Adaptive Control (MRAC) based on the Enhanced Flower Pollination Algorithm (EFPA) to handle the uncertainties and time-varying dynamics of the drilling process.The performance of the proposed controller is evaluated based on the Integral Time of Absolute Error (ITAE) index.The simulation results show that the proposed controller is effective in avoiding drilling-induced delamination in composite under different operation conditions.