Comparison of Proportional Integral Derivative Control and Model Predictive Control for Commercial Vehicles

Abstract

Commercial automobiles are significant in transportation, logistics, and delivery solutions. Advanced control strategies have become increasingly crucial with the increasing demand for green and environmentally responsible transportation methods. Proportional Integral Derivative Control and Model Predictive Control have emerged as promising practices for optimizing automobile performance. This paper considerably compares the Proportional Integral Derivative and Model Predictive Controller’s applications, benefits, challenges, and limitations in commercial vehicle technology. Additionally, it offers a compelling case study to illustrate the effectiveness of Model Predictive Control in real-world scenarios concerning Proportional Integral Derivative Control. Furthermore, the paper explores the future scope of Model Predictive Control, aiming to increase understanding and foster research. Ultimately, this study contributes to advancing green and sustainable vehicle generation.