Search
2 articles for “neural adaptive PID controller”
-
Controlling and Management of the MEMS IMU's temperature with a Peltier Plate
Abstract: Due to its small size, light weight, low consumption of electricity, and low cost, micro-electro-mechanical systems, or MEMS, IMUs (Inertial Measurement Units) have been increasingly popular in robotics, UAVs, and UGVs (Unmanned Ground Vehicles) in recent years. MEMS IMUs combine a 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, thermometer, and other components into a single microchip; nevertheless, the accuracy of MEMS gyroscopes is sometimes poor, particularly when temperature is considered, and …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 36–45 Read article
-
AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article