Rohit Shenoy

Model-Based Design for Hybrid Electric Vehicle Systems

In this paper, we show how Model-Based Design can be applied in the development of a hybrid electric vehicle system. The paper explains how Model-Based Design begins with defining the design requirements that can be traced throughout the development process. This leads to the development of component models of the physical system, such as the power distribution system and mechanical driveline. We also show the development of an energy management strategy for several modes of operation including the full electric, hybrid, and combustion engine modes. Finally, we show how an integrated environment facilitates the combination of various subsystems and enables engineers to verify that overall performance meets the desired requirements.

Embedded Real-Time Control via MATLAB, Simulink, and xPC Target

1 The MathWorks, Inc., Simulink Development, 3 Apple Hill Dr., Natick, MA 01760-2098, U.S.A. 2 The MathWorks, Inc., Application Engineering, 39555 Orchard Hill Place, Novi, MI 48375-5374, U.S.A. 3 The MathWorks, Inc., xPC Target Development, 3 Apple Hill Dr., Natick, MA 01760-2098, U.S.A. 4 The MathWorks, Inc., Technical Marketing, 39555 Orchard Hill Place, Novi, MI 48375-5374, U.S.A. 5 The MathWorks, Inc., Application Engineering, 3 Apple Hill Dr., Natick, MA 01760-2098, U.S.A. 6 The MathWorks, Inc., Technical Marketing, 3 Apple Hill Dr., Natick, MA 01760-2098, U.S.A.

Working in Teams: Modeling and Control Design within a Single Software Environment

*† ‡ § In this paper we will demonstrate the multi-user collaborative enhancement of a Simulink model of the NASA HL-20 with the goal of designing a new multi-loop, multicomponent approach and landing control system. The model is maintained using a CVSbased configuration management system by multiple engineers. Using this model the approach and landing guidance control systems are designed with commercial off-the-shelf software. The control system is developed in a single design environment using a single model which gives insight into design trade-offs and loop interactions from a system-wide perspective. The workflow and tools that were used will be presented to coordinate with the modeling and control design work that was progressing simultaneously during the course of this project.

Creating Flight Simulator Landing Gear Models Using Multidomain Modeling Tools

This paper uses commercial off-the-shelf (COTS) domain specific modeling software to create a high fidelity plant model of an aircraft’s landing gear for inclusion into a full aircraft flight simulator. The use of domain specific modeling software enables detailed modeling of the physics and facilitates accurate computational simulation of the aerodynamic and mechanical loads that occur when the landing gear are deployed and retracted during landing and take-off operations. The parameter design space is easily searched by considering a number of different landing scenarios including touching down on one wheel first, to optimize the design.

Interactive Graphical Tools for Controller Design

With the growth of embedded systems, controllers are becoming both increasingly complex and increasingly common presenting two related challenges. Making control system design techniques accessible to non-controls experts, and designing complex control systems with many variables, operating modes and design requirements. Further complexities are introduced when closed loop compensator design includes various forms of event driven or supervisory control logic. An approach to address these problems is to provide an integrated design environment that supports a flexible workflow covering the complete design process. Such an environment would include facilities for system modeling, controller structure selection, controller requirement specification, compensator tuning, controller testing and verification, and interactive assistance at each step of the process

Model-based design for test vector verification

To meet the needs of a competitive marketplace, model-based design is increasingly being adopted by companies. The use of computational models throughout the system design process accelerates development and increases quality by executable specifications, broader and automatic exploration of the design space, and high-level verification and validation. This paper shows how coverage technologies used in model-based design can be exploited in the verification and selection of test vectors used to troubleshoot faulty equipment

Helping teach engineers real world skills through hands-on cross-disciplinary labs

Engineers from all disciplines can benefit from cross-disciplinary expertise. We see biomedical engineers working on complex mechatronic systems along-side mechanical and electrical engineers. Find out how educators can captivate engineering students through hands-on instructional labs while preparing them to solve industry-relevant problems. Learn how Quanser is helping educators share resources to create a truly collaborative learning environment.