scholarly journals MINIMUM LAP TIME CALCULATION USING MATLAB

2021 ◽  
Vol 10 (2) ◽  
pp. 69-81
Keyword(s):  
Mathematical Model ◽  
Dynamic Simulation ◽  
Vehicle Dynamics ◽  
Simulation Methods ◽  
Know How ◽  
Time Calculation ◽  
Time Required ◽  
Matlab Programming ◽  
Limiting Velocity ◽  
Static Simulation

Formula Student car, to participate in different Formula Student events. Though the car was designed and all designed systems and components were validated using Static Simulation, but it was not known how would car perform on the actual track. By using different dynamic simulation methods and MATLAB programming, team has tried to understand the vehicle behaviour on track. One of the methods used by the team was, to calculate the limiting velocity for each curve on the track and to calculate the time required by the car to complete one Endurance lap of Formula Bharat 2020. This was achieved by making a mathematical model and using concepts of vehicle Dynamics. In the study different cases of the track are also discussed and how does the car behave at different portion of the track is clearly explained in the study. This helps the driver to handle the car properly. As with this information driver would be able to know how his car would behave at different corners of the track.

Dynamic simulation and performance investigation of no-frost refrigerator: Part I mathematical model

2009 ◽  
Vol 14 (1) ◽  
pp. 40-44
Author(s):  
Xiu-ping Su ◽  
Jiang-ping Chen ◽  
Zhi-jiu Chen ◽  
Xiao-tian Zhou
Keyword(s):  
Mathematical Model ◽  
Dynamic Simulation ◽  
And Performance

Design of Synchronous Machine Model Based on PRO/E and Dynamic Simulation

2012 ◽  
Vol 246-247 ◽  
pp. 1220-1225
Author(s):  
You Kun Zhong
Keyword(s):  
Mathematical Model ◽  
Dynamic Simulation ◽  
Three Dimensional ◽  
Transmission System ◽  
Synchronous Machine ◽  
Dimensional Model ◽  
Transmission Performance ◽  
Three Dimensional Model ◽  
Machine Model ◽  
Working Principle

With the increasing of the number of cars, people are also getting higher and higher demands on the performance of the car, and especially pay attention to the improvement and optimization of automobile transmission system. The transmission is a key part of automobile transmission system, and transmission performance and stability depend on the synchronous machine, so in order to make the vehicle transmission system with higher efficiency, it is necessary to study the synchronous machine. On the basis of elaborating synchronous machine working principle, the use of dynamics theory to establish mathematical model of synchronous machine system, and to carry out the simulation of synchronous machine three-dimensional model in PRO/E environment, then the use of virtual prototype technology to optimize the parameters of synchronous machine, thereby improving the performance of synchronous machine.

Interaction Between Two Closely Spaced Azimuthing Thrusters

1998 ◽  
Vol 42 (01) ◽  
pp. 15-32 ◽  
Author(s):  
Paul Brandner ◽  
Martin Renilson
Keyword(s):  
Mathematical Model ◽  
Satisfactory Agreement ◽  
Vehicle Dynamics ◽  
Operating Conditions ◽  
Towing Tank ◽  
Empirical Relations ◽  
Series Of Experiments ◽  
Flow Effects ◽  
Semi Empirical

To assist in predicting the performance of omni-directional propelled vehicles a series of experiments has been conducted to measure the interaction between two closely spaced ductedazimuthing thrusters. The thrusters were tested below a shallow draft ground board in a towing tank at a spacing of approximately 2 propeller diameters. Measurements were made of forces acting on a single thruster for a range of operating conditions and similarly on two thrusters for a range of relative positions. The results show that forces from the trailing thruster are heavily affected by interaction, particularly due to impingement of the race from the leading thruster, where as forces from the leading thruster remain essentially unaffected despite its proximity to the trailing thruster. A semi-empirical mathematical model suitable for simulation of omni-directional vehicle dynamics is presented. The model is based on the trajectory of the race from the leading thruster derived from momentum considerations with additional empirical relations to account for other more minor flow effects. Comparison of the predicted and measured results show satisfactory agreement.

Analytical Study of Hydro-Pneumatic Processes for Gorlov's Power System

1994 ◽  
Vol 208 (1) ◽  
pp. 67-70
Author(s):  
A I Ryazanov
Keyword(s):  
Experimental Data ◽  
Mathematical Model ◽  
Power System ◽  
Analytical Study ◽  
Model Tests ◽  
Air Pressure ◽  
Pneumatic Power ◽  
Time Required ◽  
The Mathematical Model

This paper describes the aerohydrodvnamics of processes in chambers of Gorlov's hydro-pneumatic power system. The mathematical model is developed to determine the main parameters of the processes: water and air velocities, air pressure in the chamber, the periods of time required to fill and empty the chambers and the output of energy during the cycle. The results obtained are in agreement with experimental data and model tests.

scholarly journals MATHEMATICAL MODELLING OF THE UNMANNED AERIAL VEHICLE DYNAMICS

2018 ◽  
pp. 37-44
Author(s):  
V. Y. Stepanov
Keyword(s):  
Mathematical Model ◽  
Mathematical Modelling ◽  
Unmanned Aerial Vehicle ◽  
Vehicle Dynamics ◽  
Point Of View ◽  
Dynamics Analysis ◽  
Aerial Vehicle ◽  
Main Components ◽  
Controlled Object

The article gives a classification of the main components of unmanned aerial vehicle (UAV) systems, gives the areas in which the application of UAVs is actual in practice today. Further, the UAV is considered in more detail from the point of view of its flight dynamics analysis, the equation necessary for creating a mathematical model, as well as the model of an ordinary dynamic system as a non-stationary nonlinear controlled object, is given. Next, a description of the developed software for modeling and a description of program algorithm are given. Finally, a conclusion describes the necessary directions for further scientific researches.

scholarly journals Warehouse Relayout Design with Weighted Distance Method to Minimize Time Travel

2020 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Adi Firmansyah ◽  
Lukmandono Lukmandono
Keyword(s):  
Mathematical Model ◽  
Travel Time ◽  
Layout Design ◽  
Global Competition ◽  
Closing Time ◽  
Distance Method ◽  
Weighted Distance ◽  
Logistics Services ◽  
Time Required ◽  
Efficient Work

Global competition between companies is becoming increasingly stringent, resulting in companies having to understand their customers better. Customers no longer only need quality products, but also need excellent and timely service. To meet the desires of these consumers, the company must create an effective and efficient work system. PT IJS is a warehouse engaged in logistics services in the Perak area of Surabaya. One of the services provided by PT IJS is bonded warehouse logistic services. A bounded warehouse owned is currently not able to provide maximum service because there are still many late deliveries that do not send goods to the port, and there is a closing time that is detrimental to the customer. The length of the delivery process is due to several factors, one of which is a less effective warehouse layout. Travel time is the time required for a vehicle to carry out activities loading goods PT. IJS from arrival to exit the warehouse. The method weighted distance is a mathematical model used to evaluate the layout based on proximity factors. The design of the layout design by using the technique weighted distance produces an alternative layout that shows calculation travel time a shorter

Fast and Intelligent Antenna Design Optimization using Machine Learning

2021 ◽  
Vol 35 (11) ◽  
pp. 1350-1351
Author(s):  
Gopinath Gampala ◽  
C. J. Reddy
Keyword(s):  
Machine Learning ◽  
Mathematical Model ◽  
Design Optimization ◽  
Antenna Design ◽  
Convergence Criteria ◽  
Time Required

Traditional antenna optimization solves the modified version of the original antenna design for each iteration. Thus, the total time required to optimize a given antenna design is highly dependent on the convergence criteria of the selected algorithm and the time taken for each iteration. The use of machine learning enables the antenna designer to generate trained mathematical model that replicates the original antenna design and then apply optimization on the trained model. Use of trained model allows to run thousands of optimization iterations in a span of few seconds.

scholarly journals DYNAMIC SIMULATION AND COMPOSITION CONTROL IN A 10 L MIXING TANK

REAKTOR ◽  
2012 ◽  
Vol 14 (2) ◽  
pp. 95
Author(s):  
Yulius Deddy Hermawan ◽  
Gogot Haryono
Keyword(s):  
Mathematical Model ◽  
Dynamic Simulation ◽  
Closed Loop ◽  
Step Function ◽  
Open Loop ◽  
Liquid Volume ◽  
Control Parameters ◽  
Software Environment ◽  
Composition Control ◽  
Volumetric Rate

The open loop experiment of composition dynamic in a 10 L mixing tank has been successfully done inlaboratory. A 10 L tank was designed for mixing of water (as a stream-1) and salt solution (as astream-2 with salt concentration, c2 constant). An electric stirrer was employed to obtain uniformcomposition in tank. In order to keep the liquid volume constant, the system was designed overflow. Inthis work, 2 composition control configurations have been proposed; they are Alternative-1 andAlternative-2. For Alternative-1, the volumetric-rate of stream-1 was chosen as a manipulatedvariable, while the volumetric-rate of stream-2 was chosen as a manipulated variable for Alternative-2. The composition control parameters for both alternatives have been tuned experimentally. Thevolumetric-rate of manipulated variable was changed based on step function. The outlet stream’scomposition response (c3) to a change in the input volumetric-rate has been investigated. Thisexperiment gave Proportional Integral Derivative (PID) control parameters. The gain controllers Kc[cm6/(gr.sec)] for Alternative-1 and Alternative-2 are -34200 and 40459 respectively. Integral timeconstant ( tI) and Derivative time constant (tD) for both alternatives are the same, i.e. tI = 16 second,and tD = 4 second. Furthermore, closed loop dynamic simulation using computer programming wasalso done to evaluate the resulted tuning parameters. The developed mathematical model ofcomposition control system in a mixing tank was solved numerically. Such mathematical model wasrigorously examined in Scilab software environment. The results showed that closed loop responses inPID control were faster than those in P and PI controls.

A Mathematical Model for Dynamic Simulation of HVDC Systems

1983 ◽  
Vol PER-3 (6) ◽  
pp. 50-51
Author(s):  
N. Vovos ◽  
G. Galanos ◽  
G. Giannakopoulos
Keyword(s):  
Mathematical Model ◽  
Dynamic Simulation

Network Model of Urban Taxi Services: Improved Algorithm

1998 ◽  
Vol 1623 (1) ◽  
pp. 27-30 ◽  
Author(s):  
S. C. Wong ◽  
Hai Yang
Keyword(s):  
Mathematical Model ◽  
Logit Model ◽  
Road Network ◽  
Search Time ◽  
Random Variable ◽  
Taxi Driver ◽  
Movement Model ◽  
Transportation Services ◽  
Type Distribution ◽  
Time Required

A mathematical model is proposed to describe how vacant and occupied taxis will cruise in a road network to search for customers and provide transportation services. The model assumes that a taxi driver, once having picked up a customer, will move to the customer’s destination by the shortest path; and that a taxi driver, once having dropped a customer, will try to minimize individual expected search time required to meet the next customer. The probability that a vacant taxi meets a customer in a particular zone is specified by a logit model by assuming that the expected search time in each zone is an identically distributed random variable due to variations in perceptions and the random arrival of customers. The whole movement of all empty and occupied taxis is formulated as an optimization model, from which a gravity-type distribution of empty taxis is derived. Consequently, the taxi movement model can be solved efficiently by the established iterative balancing method and can be incorporated into any standard transportation planning packages.

Sign in / Sign up

Export Citation Format

Share Document