 Modeling and Simulation Techniques for Unmanned Vehicle System Research and Development
This webinar introduces new techniques and case studies for efficiently increasing the fidelity of system models for UGV, UAV, and USV design. With the growing importance of autonomous vehicles for safety, space, medical, industrial, and defense applications, engineers are turning to greater use of high fidelity models to accelerate design time, reduce costly design errors, and ultimately improve functional performance of the vehicle.
Efficiently Modeling High-Fidelity Models for Aerospace Mechatronics Applications
This seminar focuses on new modeling techniques and tools for rapidly creating high-fidelity plant models for advanced applications in areas such as space robotics, UA, flight control, and simulators.
Advanced Symbolic and Numeric Techniques for Vibration Analysis and Attenuation
Resonance has always been a serious source of noise, mechanical wear and dynamic instability, particularly in large complex drivetrains that need to go through unpredictable duty cycles. Many modeling techniques have been developed over the years to help engineers to identify the net resonances of their systems so that appropriate steps may be taken to attenuate them without adding inefficiencies into the design.
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Modeling and Simulation of HEV and EV Power Electronics
This webinar covers new approaches to modeling and simulation for hybrid electric vehicle (HEV) and fully electric vehicle (EV) applications with a particular emphasis on power electronics design. HEVs and EVs present many new design challenges to engineers: They are complex multidomain, multi-body systems. In this webinar, multidomain and multi-body simulation techniques are used to place the power electronics components and systems into the context of the entire vehicle as it operates dynamically.
Driveline Modeling and Simulation: Challenges and Solutions for Hardware-in-the-Loop Simulation
Dr. Derek Wright, MapleSim Product Manager, and Dr. Orang Vahid, Senior Modeling Engineer, at Maplesoft present some of the challenges faced by hardware- and software-in-the-loop (HIL and SIL) simulation of complex driveline models. These models present unique difficulties to engineers wishing to do control design and validation via HIL and SIL simulation.
Physical Models of Automotive Batteries for EV and HEV Applications
The automotive industry is in transformation. New generation vehicles deploying hybrid (HEV), fully electric (EV), and fuel cell powerplants are presenting significant challenges to automotive engineers. The complexity of the automobile has increased exponentially in the past decades with higher performance components and digital control.
What's the Key to Effective Model-Based Design
Featuring numerous case studies and technique demonstrations, this webcast will explore new modeling techniques to accelerate model development while increasing model fidelity and simulation performance. It will show how to achieve efficient high-fidelity system modeling for hardware-in-the-loop (HIL) and control applications whether you're working on passenger cars or commercial vehicles.
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Transforming the Freshman Cornerstone Design Course Through Modeling and Simulation
This webinar presents a detailed case study of the recent McMaster University initiative to enrich its cornerstone course. The key new element is the introduction of a dynamic modeling software package to allow students to analyze and explore the system dynamics, and ultimately the design options, for a real system.
Advanced Physical Modeling Tackles the Complexity of Modern Engineering
This webinar illustrates how engineering researchers are making significant strides in their work with the help of advanced physical modeling technology. It highlights the work of three researchers, and discusses such diverse projects as space rovers, hockey sticks, parallel manipulators, and electric and hybrid-electric vehicle batteries. In this panel discussion lead by Dr. Derek Wright of Maplesoft, learn firsthand how advanced physical modeling and simulation technology can enrich your classroom and accelerate your research.
 Advanced Modeling and Simulation Techniques for Multibody Robotic Systems
This webinar introduces new techniques and case studies for efficiently increasing the fidelity of system models for multibody robotic system design. Using symbolic computation techniques, multibody models can be effectively preprocessed to select optimal coordinate frames, eliminate redundant calculations, simplify algebraic constraints, and generate computationally minimal code for real-time deployment. Furthermore, novel mathematical techniques can be deployed for efficient parameter optimization and other advanced analysis.
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