Simulink Student Challenge Winners
MathWorks announces the winners of the 2017 Simulink Student Challenge. Congratulations and thanks to all the students who entered.
Industrial robot control using MATLAB and Simulink
Far Eastern Federal University - Boris Notkin
The RoboPendulum project demonstrates how to control the dynamics of an industrial robot in real time using data obtained from various sensors. To visualize and investigate the kinematics of the robot, Simscape Multibody is used. The position and angle of the robot’s pendulum is controlled using model-based predictive control combined with artificial neural networks and a Kalman filter. Simulink Desktop Real-Time is then used to incorporate measurements from a force-torque sensor into the control system for the robot using UDP to implement disturbance suppression and oscillation reduction. Additionally, the Computer Vision Toolbox and Image Acquisition Toolbox are used to control the position of the robot using colored balls. This project is an example of how to utilize real-world data to design and implement the models that can control intricate robotic systems.
Spacecraft Dynamics and Control Simulator
The University of the Basque Country/Basque Center for Applied Mathematics - Abolfazl Shirazi
This flight simulator allows the user to model many aspects of spacecraft design, including a vehicle's structure, propulsion system, and guidance and control system. The Spacecraft Dynamics and Control Simulator then takes your vehicle into orbit, giving impressive 3D visualizations of orbital path and vehicle orientation in an impressive simulation of space flight.
Real-Time Bubble Measurement
Technical University of Kaiserslautern - Johannes Mader
The Real-Time Bubble Measurement project uses Simulink to optically measure the size of bubbles in real-time. Knowledge of bubble volume and surface area is important for applications including multi-phase reactions between liquid and gaseous compounds, and this technique provides a method to rapidly measure these bubble parameters. For this project, a Simulink model was used to acquire camera data, process the images, calculate bubble parameters, and save data for further analysis. This video demonstrates how the powerful image processing algorithms in MATLAB and Simulink can be used to create an elegant measurement tool.
MathWorks inatangaza washindi wa Shindano la Wanafunzi la Simulink 2017 Asanteni na shukrani kwa wanafunzi wote walioshiriki. "Mwanzoni mwa mwaka wa 2020, kampuni ya ""RoboPendulum"" ilizindua mradi wa ""RoboPendulum"" ambao unatoa njia ya kudhibiti nguvu za roboti za viwanda kwa kutumia data kutoka kwa sensorer mbalimbali." Ili kuona na kuchunguza kinematics ya robot, Simscape Multibody hutumiwa. Nafasi na pembe ya pendulum ya roboti inadhibitiwa kwa kutumia udhibiti wa utabiri wa msingi wa mfano pamoja na mitandao ya neva ya bandia na kichujio cha Kalman. Simulink Desktop Real-Time ni moja ya njia za kuunganisha vipimo kutoka kwa sensorer ya nguvu-torque kwenye mfumo wa kudhibiti kwa roboti kwa kutumia UDP ili kutekeleza kukandamiza usumbufu na kupunguza oscillation. Kwa kuongezea, Computer Vision Toolbox na Image Acquisition Toolbox hutumiwa kudhibiti nafasi ya roboti kwa kutumia mipira ya rangi. Mradi huu ni mfano wa jinsi ya kutumia data ya ulimwengu halisi kubuni na kutekeleza mifano ambayo inaweza kudhibiti mifumo tata ya roboti. "Mfano wa ""Ujenzi wa Ndege"" ni simulator ya ndege ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga." Spacecraft Dynamics na Control Simulator (SCDS) ni simulator ya ndege ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga ya anga. "Kama ilivyoelezwa katika utafiti wa ""Real-Time Bubble Measurement"" uliofanywa na Johannes Mader, ""Uchunguzi wa Bubble wa Real-Time"" ni mradi wa utafiti wa teknolojia ya teknolojia ya teknolojia ya teknolojia ya teknolojia ya teknolojia ya teknolojia ya teknolojia ya teknolojia ya teknolojia." Ujuzi wa kiasi cha Bubble na eneo la uso ni muhimu kwa maombi ikiwa ni pamoja na athari za awamu nyingi kati ya misombo ya kioevu na gesi, na mbinu hii hutoa njia ya kupima haraka vigezo hivi vya Bubble. Kwa ajili ya mradi huu, mfano Simulink ilitumiwa kupata data kamera, kusindika picha, mahesabu Bubble vigezo, na kuhifadhi data kwa ajili ya uchambuzi zaidi. Video hii inaonyesha jinsi nguvu picha usindikaji algorithms katika MATLAB na Simulink inaweza kutumika kuunda kifaa kifahari kipimo.