神经控制汽车速度系统

Q4 Engineering

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-08-01 DOI:10.14313/jamris/3-2022/20

M. Nakonechnyi, O. Ivakhiv, Dariusz Świsulski

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引用次数: 1

摘要

摘要本文研究了汽车速度控制系统中神经控制器的综合特点。综合的任务是确定提供比例和比例-积分-导数控制律实现的神经网络的权系数。控制器的综合是基于一种使用标准的反向模型的方法。在一定条件下，利用综合控制器连接，建立了采用允许子系统的汽车速度控制系统模型。利用MATLAB中的迭代规划和数学建模环境，利用Simulink软件包，构建了汽车速度控制的结构方案，并利用综合神经控制器进行了仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Neurocontrolled Car Speed System

Abstract The features of the synthesis of neural controllers for the car speed control system are considered in this article. The task of synthesis is to determine the weight coefficients of neural networks that provide the implementation of proportional and proportional-integral-derivative control laws. The synthesis of controllers is based on an approach that uses a reversed model of the standard. A model of the car speed control system with the use of permitting subsystems has been developed, with the help of the synthesized controller that is connected under certain specified conditions. With the iterative programming and mathematical modeling environment in MATLAB, and using the Simulink package, a structural scheme for controlling the speed of the car was constructed and simulated using synthesized neural controllers.

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来源期刊

Journal of Automation, Mobile Robotics and Intelligent Systems Engineering-Control and Systems Engineering

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： Fundamentals of automation and robotics Applied automatics Mobile robots control Distributed systems Navigation Mechatronics systems in robotics Sensors and actuators Data transmission Biomechatronics Mobile computing