Vehicle Speed Control System Research Articles

Enhanced Autonomous Speed Control System for Integrated Cars

The Automated Vehicle Speed Control System (AVSCS) is an embedded framework that utilizes specialized hardware and software components to automatically regulate a vehicle's speed. This system is designed to be implemented in a variety of vehicles, including cars, trucks, and autonomous vehicles, to enhance safe and efficient driving. The AVSCS comprises several essential elements: sensors, a processor or microcontroller, a control calculation algorithm, and a user interface. The sensors gather real-time data about the vehicle's current speed, weather conditions, and surrounding road environment, including wheel speed, GPS, radar, LIDAR, and cameras. The microcontroller or processor processes the sensor data and employs control algorithms, such as PID (Proportional-Integral-Derivative) controllers or advanced Model Predictive Control (MPC) techniques, to calculate the optimal vehicle speed. This information is then used to adjust the throttle or braking mechanisms accordingly. Additionally, the user interface allows drivers to customize the system or set their desired speed preferences, providing a seamless and personalized driving experience. The integration of the AVSCS into various vehicle types can significantly increase security, streamline traffic,, and reduce energy consumption, making it a crucial component of the connected and autonomous vehicle ecosystem. Keywords: vehicle speed regulator, GPS, radar, LIDAR, and cameras

A contract-based semantics and refinement for hybrid Simulink block diagrams

Simulink is widely used for modelling, simulating, and analysing cyber–physical systems (CPS). However, for safety-critical CPS, Simulink is insufficient to ensure safety since it lacks an official formal semantics to support compositional reasoning and verification. In this paper, we present a contract-based semantic model for hybrid Simulink block diagrams, including both discrete-time and continuous-time blocks. In our semantic formalisation, the semantics of a block is defined as a contract, and we define five operations on contracts, which are sequential composition, parallel composition, feedback composition, variable renaming, and variable hiding. We then develop a refinement calculus for hybrid Simulink block diagrams. Finally, we use a water tank system and a vehicle speed control system as case studies to demonstrate our approach.

Mathematical modeling of the car speed control system

Abstract. Problem. Speed control systems are used to ensure road safety and improve vehicle efficiency by controlling traffic speed. The main purpose of the speed control system is to ensure road safety, increase vehicle efficiency and reduce the negative impact of transport on the environment by controlling the speed of traffic. Reducing speed allows drivers to react in time to unforeseen situations, stop at traffic lights, and reduce the distance to other vehicles. In this paper, we have carried out mathematical modeling of a vehicle speed control system. Goal. As a result of the analysis, the purpose of the study was highlighted: to carry out mathematical modeling of the car speed control system. Job tasks: to model the speed control system using a proportional regulator and a PID controller. Methodology. Initially, we considered a vehicle speed control system using a proportional regulator. In the process of synthesis, it was found that the use of a P-controller provides insufficiently good quality of the vehicle speed control system. It was decided to use a PID controller to synthesize the speed control system. Results. The result of the study is: optimized settings of the PID controller provide a given control time tp≈40 s with practically no overshoot, which is a completely satisfactory quality of this system. Originality. The originality lies in the fact that a PID controller with an NCD block was used to determine the transient function of the system with optimal settings. Practical value. The use of the proposed results indicates the possibility of using a PID controller to ensure the set parameters.

Design and Simulation of a Vehicle Speed Detection and Control System Using Speed Restriction Signboards

Abstract: Over speeding vehicles is the most serious problem in any country. For control, the government imposed speed limits for cars traveling on various roadways. We can identify vehicle speed in real-time using speed cameras, but we can't slow down the driver. So, in this project, we connect automobiles to traffic speed cameras, which can inform drivers about their speed on a digital display and slow them down. Keywords: Speed Detection of Vehicle, Automatic Cruise Control, Speed Signboard Adaptation, Traffic Analysis, Vehicle Speed Control System, Over speed Control System.

Vehicle Speed Control and Accident Prevention System in Smog Zone

The air quality index (AQI) is a proportion of what air contamination means for one’s wellbeing inside a brief timeframe. The higher the AQI esteem, the more noteworthy the degree of air contamination. In a smog zone, the air pollutants can be detected with an air quality detector that will provide information about invisible toxic pollutant matters present in the air. This paper is concentrated on vehicle collision avoidance in smog places. For instance in the road, the driver suffers from unclear vision because PM (Particulate Matter) enters his/her eyes which leads to vehicle collision. A vehicle collision avoidance system with a microcontroller and onboard sensors in the smog zone is developed. It mainly focuses on the digital driver-vehicle interface implementation by using CAN protocol. The framework of CAN lessens wiring by and large. In this system, information like humidity, temperature, and distance is obtained. The humidity module measures both the temperature and humidity content and an the ultrasonic sensor is adjusted to gauge the distance between the object and vehicle, if a hindrance is identified inside 300cm from the vehicle, the alarm gives a signal to the driver. Once an individual vehicle enters the smog zone, it lowers the speed.

A New Zonal Based Vehicle Speed Control System

A New Zonal Based Vehicle Speed Control System

A Survey on Applications of RFID Technology

Background/Objectives : Recent trends use Radio Frequency Identification (RFID) technology in day to day life. At the beginning RFID was developed to replace barcodes in supply chain. They are the ubiquitous tool available for monitoring any item in various fields. The main objective of this paper is to survey RFID technology based on its security and safety applications. Methods/Statistical Analysis : RFID technique is mainly used for the security, tracking and monitoring purposes. Findings: This paper presents a survey on the applications of RIFD in the tollgate transactions, bank locker security system, automatic vehicle speed control and library books security system. Many applications visualized have a genuine use. The communication is in the wireless manner and does not require line of sight. Applications/Improvement: This paper presents a survey on the applications of RIFD in the tollgate transactions, bank locker security system, automatic vehicle speed control and library books security system.

A Speed Control Method for Underwater Vehicle under Hydraulic Flexible Traction

Underwater vehicle speed control methodology method is the focus of research in this study. Driven by a hydraulic flexible traction system, the underwater vehicle advances steadily on underwater guide rails, simulating an underwater environment for the carried device. Considering the influence of steel rope viscoelasticity and the control system traction structure feature, a mathematical model of the underwater vehicle driven by hydraulic flexible traction system is established. A speed control strategy is then proposed based on the sliding mode variable structure of fuzzy reaching law, according to nonlinearity and external variable load of the vehicle speed control system. Sliding mode variable structure control theory for the nonlinear system allows an improved control effect for movements in “sliding mode” when compared with conventional control. The fuzzy control theory is also introduced, weakening output chattering caused by the sliding mode control switchover while producing high output stability. Matlab mathematical simulation and practical test verification indicate the speed control method as effective in obtaining accurate control results, thus inferring strong practical significance for engineering applications.

The Fuzzy Decoupling Control of the Electric Vehicle Steering and Speed Systems

Based on the electric vehicle steering and speed models, this paper discussed the control problems of the electric vehicle steering and speed systems. Firstly, the electric vehicle speed control system is designed using the fuzzy PID controller. Then the electric vehicle steering controller is a fuzzy controller. Due to the coupled effect of speed in the steering control system, designing a fuzzy decoupling controller, reducing the coupled effect of speed, in order to control the system of steering model and speed model independently, and to achieve the purpose of decoupling. Finally, the result of simulation proves that no matter how speed changes, steering control system still has good tracking performance with decoupling controller. The systemic robustness is much stronger and it also enhances the utility of the control system.

A Novel Intelligent Application of Arduino Processor in Automated Vehicle Speed Control System

The prime reason for the accidents in the school zone is due to over speeding of the vehicles. The objective of the project is to design and implement a device that controls the speed of the vehicle in required areas. This is to be achieved using the Arduino processor board that is attached in the vehicle. The device consists of two main components, the transmitter and the receiver. The transmitter gets activated during the peak hours and sends the Radiofrequency .The receiver that is attached to the vehicle senses the Radio frequency. This enables the fuel control mechanism by automatically controlling the butterfly valve that is responsible for the amount of fuel pumped into the engine. Simultaneously the countdown timer starts. The speed is maintained till the timer reads zero, after that the vehicle resumes its original state.

Intelligent Fuzzy Controller Design and Simulation for Vehicle Speed Control

Through the study on fuzzy control in the vehicle speed control, the intelligent fuzzy controller with intelligent integral and differential is proposed. In this paper, we take diesel vehicle control system as an example, and the vehicle speed control system’s simulation has been completed. Simulation results show that the intelligent fuzzy controller could adapt to the model whose parameters are non-linear, time-varying, and this controller can also effectively inhibit the environmental interference, so the system with intelligent fuzzy controller has strong robustness, good reliability and higher control precision.

Illustration of the principle of matching with inputs restricted in magnitude and rate of change: vehicle speed control revisited

The principle of matching is a concept of design that requires the objects of the design (the system and its environment) be matched. The main objective of a match is to ensure that the set of possible inputs P, which the environment imposes on the system, is a subset of the set of tolerable inputs T (those which are judged to produce an acceptable response from the system). In a recent paper, practical conditions for a match were presented when the set of possible inputs P is characterized by restrictions both on the input and the rate of change of the input, and the set of tolerable inputs T is characterized by bounds on the absolute supremum of the response of the system. In this paper, the use of one of these practical conditions is illustrated in the design of a vehicle speed control system, which is an improvement on a system designed in an earlier paper. Included here is an explanation as to why the practical conditions used in the earlier design cannot be used in this work, whereas the more recent...

Adaptive automotive speed control

An adaptive algorithm for adjusting the gains of a vehicle speed control system is presented. By continuously adjusting the proportional-integral control gains, speed control performance can be optimized for each vehicle and operating condition. This helps the design of a single speed control module that does not need additional calibration or sacrifices in performance for certain car lines. It also allows improved performance for changing road conditions not possible with a fixed-gain control or other types of adaptive control. The results of initial vehicle testing confirm the performance improvements and robustness of the adaptive controller.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>