en Optimization Techniques Optimization Techniques پژوهشي Research <div style="text-align: justify;"><span style="font-size:10pt"><span new="" roman="" style="font-family:" times=""><i><span style="color:#212121">In this paper, an optimal Electrical Cam (Ecam) profile is obtained by identifying the best breakpoint positions for piecewise polynomials using the cubic spline interpolation method. To achieve a curve that best tracks the reference Ecam curve, the breakpoint positions are determined using particle swarm optimization with random inertia weight (RNW-PSO). </span><span style="color:#212121">The previous programmable logic controller (PLC) used in the sanding mechanism was the DELTA DVP40ES2, utilizing the Ecam capability of DELTA ASD-A2 servo motors. To implement the Ecam function independently of the servo motor type, it has been integrated into a PLC, specifically the SIEMENS SIMATIC CPU 1215C. The optimized Ecam curve is then applied to a computer numerical control (CNC) sanding machine.</span></i><i><span style="color:#212121"> Practical results demonstrate the effectiveness of the proposed method, showing improved sanding quality and better compliance with the reference curve.</span></i></span></span></div> <div style="text-align: justify;"></div> Cubic Spline Interpolation,Ecam,CNC sanding machine,RNW–PSO 156 169 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-3217-1&slc_lang=en&sid=1 Davood Nazari Maryam Abadi d.nazari@grandmaghsoud.com 1800319475328460013469 1800319475328460013469 Yes Department of Electrical Engineering of the University of Applied Science and Technology, Grand Maghsoud Group, Mashhad, Iran Mohammad Bagheri m.bagheri@grandmaghsoud.com 1800319475328460013470 1800319475328460013470 No Department of Electrical Engineering of the University of Applied Science and Technology, Grand Maghsoud Group, Mashhad, Iran