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Modeling a Digitally Controlled Power Supply

Posted in: System Integration, Simulation, and Analysis

Power supply designs are going digital. It is now common to see what would have once been a completely analog design incorporate some combination of Digital Signal Processing (DSP), microcontroller (uC), and/or Field-Programmable Gate Array (FPGA) technologies. This paper illustrates how the SystemVision simulation environment can be used to design and analyze this class of power supply on a 150 W, 100 KHz half-bridge converter.

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How to Model Power Systems Using SystemVision

Posted in: System Integration, Simulation, and Analysis

This booklet introduces practical guidelines and specific techniques for developing and analyzing complex power systems with the aid of computer simulation. The general concept of computer simulation (referred to simply as simulation in this booklet) is to use a computer to predict the behavior of a system that is to be developed. To achieve this goal, a system model of the real system is created. This system model is then used to predict actual system performance and to help make effective design decisions.

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CAN Bus Signal Integrity Design

Posted in: System Integration, Simulation, and Analysis

VHDL-AMS (IEEE Standard 1076.1) provides hardware modeling capabilities that are well suited for CAN signal integrity analysis. This includes modeling the analog, digital and mixed-signal aspects of the transceivers, as well as the behavior of twisted-pair transmission lines, connectors and other components of the CAN Physical Layer. SystemVision supports both VHDL-AMS as well as traditional Spice modeling methods. This paper presents various modeling approaches applicable to the key hardware components of a CAN bus. It also provides examples of simulation-based techniques for CAN signal integrity design.

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DO-254 Compliant Design and Verification with VHDL-AMS

Posted in: System Integration, Simulation, and Analysis

The functionality and performance of modern military and aerospace systems has become heavily influenced by their electronic content. Consequently, selecting the right electronic components and choosing the optimal design methodology is vital in developing a successful product. The flexibility and capabilities of new digital components is still growing exponentially. The potential of these devices, however, cannot be fully (and safely) utilized without incorporating the latest design and verification methodologies. Design methodologies for mil-aero applications must consider the complexities of mechatronic systems. The VHDL-AMS language is an undiscovered asset for mil-aero digital designers - a powerful tool to define and verify safety-critical requirements in a non-digital context. This paper discusses the use of VHDL-AMS for safety-critical digital systems.

Lit Number: TECH7810-w

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Combining ModelSim and Simulink in an Integrated Simulation Environment

Posted in: System Integration, Simulation, and Analysis

SystemVision has the ability to effectively integrate compiled ModelSim libraries, Simulink block diagrams, and additional multi-technology design elements into a single simulatable system.

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Improving Automotive EE Design with SystemVision

Posted in: System Integration, Simulation, and Analysis

Gaps exist at critical junctures in the design process that work against creation of intelligent automotive electronic systems and networks capable of providing advanced functionality while remaining cost effective, reliable, and durable. Ultimately, encumbrances in the design process lead to systems characterized by quality problems in both hardware and software that are placing a heavy warranty cost burden on manufacturers. This paper illustrates gaps in the design process, discusses their effects on efforts to solve engineering problems, and examines how product quality and cost are affected. Finally, an approach is suggested that enhances control of design processes and improves decision making in view of an understanding of the diverse systems that make up the whole vehicle, while saving time, improving quality, and helping to control costs.

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Mini-Baja Traction Control System-Mechatronics Modeling

Posted in: System Integration, Simulation, and Analysis

A versatile new modeling technology was used to help design an innovative traction control system. Using models written exclusively in the IEEE standard VHDL-AMS language, simulation-based analysis and verification were performed at both the component/subsystem and at the overall system levels. Key insights were gained about a wide range of design issues, from the critical need to bleed the brake lines, to power converter topology trade-offs, to detecting inherent wheel lock-up modes in the control algorithm. This paper presents modeling and simulation techniques applicable to a wide range of automotive "mechatronic" systems, where coordinated interaction of mechanical, electronic, and software components is required to meet performance goals.

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LVDT/RVDT Sensor Modeling and Signal Conditioning Design

Posted in: System Integration, Simulation, and Analysis

This paper shows how the IEEE Standard 1076.1 (VHDL-AMS) hardware description language was used to create versatile models of LVDT and RVDT sensors. These models can be used to support the design or selection of suitable signal conditioning circuits or algorithms for specific applications. Signal conditioning is a key aspect of LVDT and RVDT sensing systems, with a strong impact on meeting measurement accuracy requirements. In the design example, the effects of a long cable, between a remote LVDT sensor and its associated signal conditioning circuitry, are examined. Measurement error due to cable length and temperature changes, as well as signal conditioning circuit variations, is analyzed. The design process leverages SystemVision's parametric analysis capability to make important signal conditioning and system design trade-offs.

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How to Model Mechatronic Systems using VHDL-AMS

Posted in: System Integration, Simulation, and Analysis

The general concept of computer simulation is to use a computer to predict the behavior of a system that is to be developed. To achieve this goal, a system model of the real system is created. This system model is then used to predict actual system performance and to help make effective design decisions. This booklet introduces practical guidelines and specific techniques for developing and analyzing complex systems with the aid of computer simulation.

Download