420 research outputs found

    Modeling Analysis and Simulation of Wheel Suspension System's Response for Quarter Car Model by Using 20-sim Software for Honda Civic Lx 2019 Sedan

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    This paper exhibits a study of car passive and active- suspension system to improving drive exhilarate to passengers while also enhancing vehicle stability by decreasing the effect of oscillation on the suspension. Modeling and simulation by using the bond diagram. They much concede a prime arrangement of the machine to the exterior surrounding: street quality, atmospherically circumstances, while guarantying driver as well as passengers, major safeness and more potentially exhilarate. Automotive aid it course manners. The result cleared this action plan at different set during the vehicle mean, but particularly in evolution level. It is also clear the proportion of suspension system's mass to the vehicle's mass. Also graphical representation of suspension system' parameters like vertical passenger displacement, potential energy of mass of suspension system and acceleration. To foretell the comportment of a car, it is necessary to make design, modeling, and simulation. Honda Civic Lx 2019 sedan car has used for modeling, and simulation

    H ∞ and μ-synthesis Design of Quarter Car Active Suspension System

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    To improve the street managing and passenger comfort of a vehicle, a suspension system is furnished. An active suspension device is considered to be better than the passive suspension device. In this paper, 2 degree of freedom of an active suspension system of a linear vehicle are designed, that's challenge to oneof-a-kind disturbances on the road. Since the parametric uncertainty inside the spring, the shock absorber, the mass and the actuator has been taken into consideration, robust control is used. In this paper, H∞ and µ-synthesis controllers are used to enhance using consolation and the capability to force the car on the road. For the analysis of the time domain, a MATLAB script software become used and a check with 4 road disturbance inputs (bump, random, sinusoidal and harmonic) became carried out for suspension deflection, body acceleration and travel of the body for the energetic suspension with the H∞ controller and the active suspension with the µ-synthesis controller and the comparative simulation and the reference consequences display the effectiveness of the active suspension system with the µ-synthesis controller

    Application of ride quality technology to predict ride satisfaction for commuter-type aircraft

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    A method was developed to predict passenger satisfaction with the ride environment of a transportation vehicle. This method, a general approach, was applied to a commuter-type aircraft for illustrative purposes. The effect of terrain, altitude and seat location were examined. The method predicts the variation in passengers satisfied for any set of flight conditions. In addition several noncommuter aircraft were analyzed for comparison and other uses of the model described. The method has advantages for design, evaluation, and operating decisions

    Semi-Active Suspension System Simulation Using SIMULINK

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    This paper describes a simulation design procedure aimed to achieve improved performance of the vehicle semi-active suspension. The issues related to the design of vehicle models with skyhook control are discussed. Three basic models with linear parameters are explained: quarter-, half- and full-car. The road profile is generated from a spatial power spectral density (PSD) to represent a typical road (based on ISO 8608 classification). The normalized root-mean-square values of sprung mass acceleration and tyre load forces are used to assess the vehicle ride comfort and handling performance based on five benchmark road profiles employed in industrial tests

    Comparison of H∞ and μ-synthesis Control Design for Quarter Car Active Suspension System using Simulink

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    To improve road dealing with and passenger consolation of a vehicle, a suspension system is supplied. An active suspension system is taken into consideration better than the passive suspension system. In this paper, an active suspension system of a linear quarter vehicle is designed, that's issue to exclusive disturbances on the road. Since the parametric uncertainty within the spring, the shock absorber and the actuator has been taken into consideration, robust control is used. H∞ and µ-Synthesis controllers of are used to improve using consolation and road dealing with potential of the vehicle, in addition to confirm the sturdy stability and overall performance of the system. In the H∞ design, we designed a driving force for passenger consolation and to preserve the deflection of the suspension small and to reduce the disturbance of the road to the deflection of the suspension. For the µ synthesis system, we designed a controller with hydraulic actuator and uncertainty model. We designed a MATLAB / SIMULINK model for the active suspension system with the H∞ and µ-synthesis controllers we tested the use of 4 road disturbance inputs (bump, random, sinusoidal pavement and slope) for deflection of the suspension, body acceleration and body travel for passive, active suspension with controller and active suspension without controller. Finally, we evaluate the H∞ and µ-synthesis controllers with a Simulink model for suspension deflection, body acceleration and body travel simulation, and the result suggests that both designs offer correct overall performance, however the H∞ controller has superior overall performance as compared to the µ-synthesis controller

    Experimenting sensors network for innovative optimal control of car suspensions

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    This paper presents an innovative electronically controlled suspension system installed on a real car and used as a test bench. The proposed setup relies on a sensor network that acquires a large real-time dataset collecting the car vibrations and the car trim and, through a new controller based on a recently proposed theory developed by the authors, makes use of adjustable semi-active magneto-rheological dampers. A BMW series 1 is equipped with such an integrated sensors-controller-actuators device and an extensive test campaign, in real driving conditions, is carried out to evaluate its performance. Thanks to its strategy, the new plant enhances, at once, both comfort and drivability of the car, as field experiments show. A benchmark analysis is performed, comparing the performance of the new control system with the ones of traditional semi-active suspensions, such as skyhook devices: the comparison shows very good results for the proposed solution

    Multi-order proportional-derivative control for active vehicle suspension to improve ride performance

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    Suspension system designs will determine the performance of the vehicle in terms of ride comfort, ride handling, and stability. These requirements often contradict each other, so they cannot meet all the needs and circumstances at the same time. Therefore, conventional suspension systems are usually optimised for certain types of terrain and still represent the main compromise between the quality of travel, handling, suspension travel, and control of body movements. Researchers focused on reducing these trade-offs have led to the development of advanced suspension systems. An advanced suspension system is achieved through the manipulation of forces provided by the suspension system at the compression and extension stages applied between the sprung and unsprung masses of each wheel assembly. Generally, the well-known method for manipulating suspension forces can be categorised into two types: semi-active and active suspension systems. An active suspension system combined with the controller can manipulate suspension forces to reduce the vibration and vertical motion of the vehicle. The purpose of this research is to develop an active suspension for the quarter-car model of a passenger car in order to improve its performance by using a multi-order proportional-derivative (MOPD) controller. The controller design deals with the selection of proportional and derivative gain parameters for the error of multiple variables, which are displacement, velocity, and acceleration. To verify the performance of this controller for active suspension systems, the simulated results of a closed-loop system for sinusoid road profile input using MATLAB and Simulink tools were used to compare the MOPD active suspension with PD active suspension as well as passive suspension. The PD active suspension and passive suspension were developed and investigated first. The simulation results reveal that active suspension with MOPD reduces the RMS value of body displacement, body acceleration, and wheel acceleration when compared to PD active suspension and passive suspension. However, only the RMS value for suspension deflection showed an inconsistent trend. In conclusion, multi-order PD control can improve vehicle ride performance when compared to PD control with passive suspension

    Simulation analysis of anti-rollover mechanism for vehicles

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    Rollover accidents are considered the most significant safety problems for all classes of light vehicles, especially pickups, Sport Utility Vehicles (SUV), Light Truck Vehicle (LTV) and vans. The main objective of the research is the design of a new mechanism able to keep the vehicle stable under various road conditions and high speeds, to prevent the vehicle from rolling over and to maintain the stability for the vehicle by creating an anti-rolling torque on the vehicle body capable of turning the vehicle smoothly to stable position

    English. Навчальний посібник з англійської мови для студентів І-ІІ курсів спеціальності «Автомобілі і автомобільне господарство»

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    Part I… Lesson 1. Essential parts of an automobile… 5-- Unit 2. Types of Waves…8 -- Unit 3. Speed of Waves… 10-- Unit 4. Interactions of Waves…13-- Unit 5. Electromagnetic Waves…16-- Unit 6. Type of Waves…19-- Part II…22-- Unit 1. Infrared Rays… 22-- Unit 2. Visible Light…25-- Unit 3. Wave or Particle?... 29-- Unit 4. Reflection of Light…31-- Unit 5. Reflection and Mirrors…34-- Unit 6. Refraction of Light…37-- Unit 7. Optical Instruments…40-- Unit 8. Lasers…43-- Unit 9. Fiber Optics… 47-- Part III… 52-- Unit 1. A Halogen Lamp…52-- Unit 2. LED Lamp…54-- Unit 3. Electroluminescent Wire… 57-- Unit 4. Black Light… 59-- Unit 5. Compact Fluorescent Lamp (CFL)… 62-- Unit 6. Plasma Lamps. …65-- Unit 7. Architectural Lighting Design…68-- Part IV…70-- Additional reading… 70-
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