Overview of Use of PID, Fuzzy Logic, and Model Predictive Control in Autonomous Vehicle Systems

This review article provides a brief overview of the applications of Proportional – Integral – Derivative (PID), Fuzzy Logic, and Model Predictive Control (MPC) technologies in the autonomous vehicles industry. PID is a popular control method used in various industries because of its simplicity and tuning methods. PID control serves as a fundamental building block for many control systems due to its simplicity. Fuzzy Logic control offers flexibility and robustness to handle uncertainties. MPC provides advanced predictive control while working as a cutting-edge control strategy. This paper tried to develop an overview of the use of the above-mentioned technologies in autonomous vehicle speed control, steering control, path following, stability control, and energy management in the recent past, while providing a brief introduction to the controlling mechanisms along with their history.

Autonomous, Fuzzy logic, MPC, PID, Process control, Robot control

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