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

Abstract

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

Integrated Room Monitoring and Air Conditioning Efficiency Optimization Using ESP-12E Based Sensors and PID Control Automation: A Comprehensive Approach

“…The ESP-12E microcontroller, along with DHT22 and BH1750 sensors, forms the backbone of our room monitoring tool, designed specifically for the STMIK STIKOM Indonesia campus [16][17] [18]. The DHT22 sensor measures temperature and humidity, while the BH1750 sensor measures light intensity [19] [20][21] [22]. The measurement results are displayed on a 16x2 I2C LCD, providing real-time data on room conditions.…”