MODELING AND OPTIMIZATION OF AN AUTOMATIC POWER CONTROL SYSTEM FOR THE MILLING PROCESS
DOI:
https://doi.org/10.53002/142Ключевые слова:
cutting power, milling machine, automatic control system, fractional-integral controller, fractional orderАннотация
The article addresses the scientific and applied problem of developing automatic control systems for stabilizing
milling machine cutting power under changing operating conditions. Maintaining a constant cutting power level is essential
for improving machining quality, increasing productivity, reducing energy consumption, and extending tool life. A synthesis
approach based on fractional-integral controllers with an increased astatism order is proposed. A specialized optimization
criterion was developed to ensure fast transient response while limiting overshoot within predefined bounds. Unlike
conventional mean-square-error criteria, the proposed functional accounts for the position of the control error relative to the
admissible region, providing smoother transient behavior. Optimal controller parameters were determined using genetic
algorithms implemented in MATLAB. The obtained results enabled the synthesis of fractional-order control systems with
improved dynamic performance compared to classical controllers. Simulation studies demonstrated effective disturbance
rejection and rapid stabilization under sudden load changes. For a 50% increase in cutting power demand, the transient
deviation was reduced from approximately 200 W to 19–39 W, while the settling time remained below 0.02 s.
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