Modeling and Simulation of Automatic ControlSystem in Smart Cars

This paper focuses on the modeling and simulation of automatic control systems in smart cars. The main objective of this paper is to examine and analyze various modeling methods for designing advanced control systems capable of autonomously managing the movement of smart cars in diverse driving and environmental conditions. In this paper, numerical simulation techniques and mathematical models are utilized to simulate the behavior of control systems. These models include dynamic equations related to car motion, interactions between the car and its environment, and adaptive control algorithms. The simulation results demonstrate the potential of these systems in optimizing car performance under complex and nonlinear conditions, such as variations in speed, unexpected obstacles, and rough terrains. Additionally, this paper investigates the effects of different input parameters, such as speed and steering angle, on the performance of the control system. The obtained results highlight the high potential of automatic control systems in enhancing safety, efficiency, and driving comfort for smart cars in both urban and road environments. This research can serve as a foundation for the design and development of advanced control systems for autonomous and smart cars in the future.

کلیدواژه ها:

Autonomous Cars ، Control Systems ، Car Dynamics ، Machine Learning ، Simulation ، Optimization