student tutorials and videos -凯发k8网页登录

aerospace

learn how to use matlab and simulink to design airplanes, unmanned aerial vehicles, and other aerospace vehicles for student projects. mathworks experts and users share information on how to perform engineering design calculations, develop simulation models, and deploy code to hardware targets.

matlab and simulink racing lounge

the matlab and simulink racing lounge features a video series covering topics relevant to automotive student teams. everything from the basics of matlab and simulink to in-depth details on improving your racecar development is explored. automotive student teams also share their keys to success with examples.

matlab and simulink robotics arena

learn how to use matlab and simulink to design algorithms, create simulations, and speed up development for student projects in robotics and unmanned systems.

code generation

learn how to generate readable, standalone c/c code from matlab functions and simulink models. navigate and customize the generated code before deploying directly onto target hardware boards. use simulink as an integration environment and generate code for multirate systems.

mobile robotics

learn how to design and simulate common mobile robotics algorithms in matlab and simulink, such as open- and closed-loop feedback control systems, for your robot to perform tasks like dead reckoning, line following, and obstacle detection. use custom simulation tools to test algorithms within simulink before deploying them to an actual robot.

physical modeling

get started with modeling, simulating, and analyzing automotive systems, including longitudinal vehicle dynamics and 3d suspension modeling. these tutorials will help your team set up a vehicle model, and predict lap times, fuel consumption, and battery life.

making vehicles and robots see

get started with fundamental computer vision techniques that enable your vehicles and robots to see the environment. watching these tutorials, learn practical approaches to working with perception algorithms to design your autonomous systems.

hybrid electric vehicles

learn to develop hybrid electric vehicle (hev) systems using matlab and simulink. explore motor control design, and how to use equivalent circuits for representing the dynamic behavior of battery cells. explore battery pack electro-thermal modeling and battery thermal management system design. learn about modeling and simulating hev systems, creating plant models, developing control systems, and optimizing your models.

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student lounge blog

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code generation with matlab	generate editable, customizable code from matlab code using matlab coder.
preparing and customizing generated code for matlab	prepare and optimize matlab code for code generation.
code generation with simulink	generate editable, customizable code from simulink models using simulink coder.
customizing generated code with simulink	customize the code generated from simulink models to balance various design considerations.
system integration with simulink	use simulink as an integration platform for design, simulation, and code generation of multiple software components.
hardware deployment with simulink	generate and deploy code directly from simulink models to embedded computing systems.

part 1: controlling robot motion	control a robot to move on its wheels autonomously using dead reckoning.
part 2: using pid controllers	design and tune a pid controller to perform navigation tasks like dead reckoning.
part 3: designing line following algorithms	design line following algorithms for a mobile robot.
part 4: designing obstacle detection algorithms	design obstacle detection algorithms for a mobile robot.
part 5: performing a sequence of path navigation tasks	create a supervisory logic that navigates a robot through a predefined path.

part 1: introduction to simscape	explore concepts of plant modeling with simscape and the physical network approach. using a battery model, learn how to build and simulate a model in simscape.
part 2: simscape fundamentals	learn fundamental concepts of simulink like using foundation libraries, creating multidomain physical components, dividing components into subsystems, and setting initial conditions for physical variables.
part 3: introduction to vehicle modeling	gain an understanding of vehicle modeling, including how to model vehicle bodies, tires, brakes, and how to incorporate wind and terrain effects. this tutorial is applicable for both combustion and electric engine student competition teams.
part 4: powertrain modeling	learn about powertrain modeling and how to actuate vehicle models with power sources, build driveline mechanisms, create multi-speed transmissions, and model engines.
part 5: vehicle drive and control	explore vehicle drive and basic control concepts, including implementation of a dc motor drive mechanism, pwm (pulse width modulation) actuation, closed-loop control of the vehicle, and running simulations with imported drive cycle data.
part 6: introduction to multibody simulation	discover the concept of multibody modeling with simscape multibody (formerly simmechanics)simscape multibody extends simscape with the ability to easily model rigid body mechanical systems in 2d and 3d.
part 7: building components	create assembly components, including simple geometries, extruded and revolved solids, and compound bodies, in simscape multibody (formerly simmechanics). the components of a suspension system are used as an example
part 8: building mechanical assemblies, section 1	build an assembly in simscape multibody (formerly simmechanics). see how to implement coordinate transforms, represent degrees of freedom, and specify body interfaces for reusability.
part 9: building mechanical assemblies, section 2	building on the example from “part 8: building mechanical assemblies, section 1”, learn how to sense and log simulation results and add internal mechanics to joints.
part 10: importing cad models into simmechanics	visualize bodies with cad geometries, export models from cad software, and import cad models into simscape multibody (formerly simmechanics) for dynamic simulations..
part 11: design optimization	learn what simulink design optimization is, as well as how to select and design parameters, set requirements or design goals, and optimize model parameters.

basic operations on images	learn how to work with images in matlab.
image segmentation and analysis	learn how to perform color-based segmentation, refine image masks, and analyze regions using interactive apps.

motor control design with matlab and simulink	identify core pieces of a field-oriented controller in a simulink model, and learn how to autotune pi controller gains. distinguish between dynamic decoupling control and flux weakening control.
modeling batteries using simulink and simscape	learn about equivalent circuits and why you’d want to use them. use equivalent circuits to represent the dynamic behavior of a battery cell.
why model and simulate hevs	identify the challenges associated with hev design and with architecture selection. understand energy consumption and performance estimates over different drive cycles and identify the impact of component selection.
creating hev plant models	learn about different methods for creating hev component models. see how powertrain blockset and simscape tools can be used for hev modeling, and learn best practices for creating new plant models.
developing hev control systems	get an overview of hev control systems and the concept of energy management. understand control algorithm implementation in simulink and stateflow, test your controller, and learn best practices.
optimizing hev models	get an introduction to optimization and learn about matlab and simulink optimization tools. simultaneously optimize control and component parameters. find a common set of control parameters for various driving conditions.
battery cell balancing and state of charge (soc) estimation	learn about battery management system tasks. see how simulink can model a physical plant and the controller for a battery pack. identify how a nonlinear observer block from the controls library can keep track of the state of charge of a cell.
battery thermal management system design	explore the components of a battery thermal management system for a small 4-passenger ev. examine a simscape model for this system, and use the model to diagnose and correct a problem with the control algorithm and investigate energy usage.

student tutorials and videos -凯发k8网页登录

aerospace

matlab and simulink racing lounge

matlab and simulink robotics arena

code generation

mobile robotics

physical modeling

making vehicles and robots see

hybrid electric vehicles

free online tutorials

student lounge blog

opportunities for students

student competitions

mathworks minidrone competitions

project ideas

matlab student ambassadors

student tutorials and videos -凯发k8网页登录

aerospace

matlab and simulink racing lounge

matlab and simulink robotics arena

code generation

mobile robotics

physical modeling

making vehicles and robots see

hybrid electric vehicles

free online tutorials

student lounge blog

opportunities for students

student competitions

mathworks minidrone competitions

project ideas

matlab student ambassadors

wechat