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        | PROFESSIONAL EDITION | February 12 | Issue 2 |  
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                    | Using MapleSim in Unmanned Aerial Vehicle Models Provides Insights and Options   Not Possible with Traditional Tools
  MapleSim™, Maplesoft’s modeling and simulation product, is a key   tool for Quanser design engineers in developing the QBall.  The QBall-X4 is a   quadrotor helicopter design with four motors and speed controllers fitted with   10-inch propellers. The first step in its development was to create high-fidelity 3-D   dynamics models of the system and its flying characteristics. The results and   insights gained through using MapleSim were then transferred to the remaining   toolchain to complete the development.
 MapleSim gave Quanser engineers two significant advantages over   traditional tools. The most important benefit to using MapleSim was its ability   to fully capture the dynamics of the gyroscopic effects, the stabilizing effects   of the spinning parts of the QBall. With traditional tools, gyroscopic effects   are extremely difficult or impossible to treat, as developing sufficiently high   fidelity models by hand is simply too difficult and too time consuming.   Typically, design engineers resort to making various model simplifications or   compromises for the model; ultimately, this reduces the accuracy and   effectiveness of the simulation process. Since MapleSim automatically derives   the system equations directly from the model diagram, the Quanser engineers   developed a very high fidelity model with gyroscopic effects in very little time   and with little effort. Secondly, because it was so easy to make design changes in the   MapleSim physical modeling environment, Quanser was able to test different   designs for the rotors and choose the one that worked the best for them.   MapleSim let them efficiently consider and dismiss alternate UAV configurations,   such as single rotor, or coaxial counter rotating propeller configuration,   before settling on the quadricopter design.
 Read the full case study: click here.  | 
                      
                            | Maplesoft Events  
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                            | FKFS Internationales Stuttgarter Symposium March 13th-14th
 Stuttgart, Germany
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                            | 6th International CTi Symposium March 21st-23rd
 Rochester, Michigan
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                            | ICTCM March 23rd-25th
 Orlando, Florida
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                            | For further details about these events, click here. |  
 
 
                          
                            | Community  
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                            | Social Networks 
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                  | Live Webinar: Advanced Modeling and Simulation Techniques for Multibody Robotic SystemsThursday, March 1st at 12:00 pm ET
 
 
  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. 
 Applications in robotics, including space and   industrial robotics will be presented. The symbolic computation system Maple and   the related modeling system MapleSim will be used to illustrate examples.
 
 
   
 Live Webinar: Driveline Modeling and Simulation: Challenges and Solutions for HIL SimulationWednesday, March 21st at 10:00am ET
 
 
  In this webcast, Dr. Derek Wright, MapleSim Product Manager, and Dr. Orang   Vahid, Senior Modeling Engineer, at Maplesoft will 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. Specifically, there is often a trade-off necessary between model   fidelity and simulation speed that may necessitate model approximations and   result in reduced effectiveness of the designed controllers. Discussion will   include the role of Modelica and acausal modeling in achieving manageable   physical models and how symbolic formulations can increase simulation speed   without reducing model fidelity. 
 
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                      |  MAPLESOFT IN THE PRESS  |  
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                          |  | NASA’s Jet Propulsion Laboratory   Deploys Maplesoft Technology Desktop Engineering, January 26, 2012
 JPL is implementing Maple, MapleSim and MapleNet in its various   projects. Whether creating America's first satellite, Explorer 1, sending the   first robotic craft to the moon or exploring the edges of the solar system, JPL   has been at the forefront of pushing the limits of exploration.
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                          |  | Maplesoft offers testing and assessment software for technical education The Engineer (UK), January 4, 2012
 Maple T.A. 8 testing and assessment software from Maplesoft is   designed for technical education and research, and aims to help instructors to   improve students’ comprehension.
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                          |  | Slapshot robot aims to create game-changing hockey sticks DesignFax, December 20, 2011
 MapleSim played a critical role in the design and development   of the SlapShot XT. MapleSim allowed Hockey Robotics to efficiently and   accurately simulate the coupled dynamic electrical and mechanical behavior of   the equipment.
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