A New Self-Tuning Nonlinear PID Motion Control for One-Axis Servomechanism with Uncertainty Consideration

This paper introduces a new study for one-axis servomechanism with consideration the parameter variation and system uncertainty. Also, approach high-performance self-tuning nonlinear PID control was developed to track preselected profile high accuracy. Moreover, comparison between proposed technique well-known controllers (PID Nonlinear PID). The optimal parameters were determined based on COVID-19 optimization technique. of changed randomly at range through online simulation. change these acts as nonlinearity resources (friction, backlash, environmental effects) A comparative linear models had been accomplished investigated. results show that controller can several operating points accuracy, low rise time, small overshoot.