Real-Time Simulation of Physical Systems Using Simscape™

Miller, S. D.; Wendlandt, J.M.

doi:10.1201/b12667-28

Cited by 21 publications

(18 citation statements)

References 1 publication

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“…Based on the modeling methods described earlier, an integrated linear model the Test Cell is developed in the MATLAB/Simulink environment. The RC models and heat/mass balance of room air model are developed using SIMSCAPE language, which is an object-oriented physical modeling method (Miller & Wendlandt, 2010). The thermal comfort in SkyLab Test Cell is modeled with Equation 17and measured three-day average velocity (0.09 m/s) in the occupied zone during office hours.…”

Section: Case Study and Results Discussionmentioning

confidence: 99%

Modeling and model calibration for model predictive occupants comfort control in buildings

Yang¹,

Wan²,

Ng³

et al. 2018

Healthy, Intelligent and Resilient Buildings and Urban Environments

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Mathematical models are essential in Model-Predictive Control (MPC) for building automation and control (BAC) application, which must be precise and computationally efficient for realtime optimization and control. However, building models are of high complexity because of the nonlinearities of heat and mass transfer processes in buildings and their airconditioning and mechanical ventilation (ACMV) systems. This paper proposes a method to develop an integrated linear model for indoor air temperature, humidity and Predicted Mean Vote (PMV) index suitable for fast real-time multiple objectives optimization. A linear dynamic model is developed using SIMSCAPE language based on the BCA SkyLab test bed facility in Singapore as a case study. Experimental data is used to calibrate the model using trust-region-reflective least squares optimization method. The results show that the mean absolute percentage errors (MAPE) of predicted room temperature and humidity ratio are 1.25% and 4.98%, compared to measurement, respectively.

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Section: Case Study and Results Discussionmentioning

confidence: 99%

Modeling and model calibration for model predictive occupants comfort control in buildings

Yang¹,

Wan²,

Ng³

et al. 2018

Healthy, Intelligent and Resilient Buildings and Urban Environments

View full text Add to dashboard Cite

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“…In case the iteration does not converge after a pre-defined maximum number of iterations, the loop is interrupted and the algorithm continues with the next integration step. Similar approaches of limiting the number of non-linear iterations are employed by commercial simulation environments such as Simulink and Simscape [15].…”

Section: ) Non-linear Iteration Mechanismmentioning

confidence: 99%

Modeling three-phase saturable transformers for real-time simulation

Ionutiu

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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This paper presents a method to model threephase saturable transformers for real-time simulation, using the example of a wye-delta configuration. The magnetizing path of the transformer is modelled with parallel connected linear inductors to simulate a piecewise linear saturation characteristic. Depending on the saturation state, the inductors are switched on and off via ideal switches, which are modelled via parametrized curves. An efficient implementation is proposed for real-time simulation. The simulation offline on the PC, online on the realtime target with a step size of 50us and the application on a wind turbine converter system validate the method. The achieved results demonstrate the performance of the method.

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“…Description languages such as Architecture Analysis & Design Language (AADL) described in [11] are limited in describing the architectures for software. Modeling languages such as Modelica [34] or Simscape [23] are mainly proposed for modeling the multidomain physical components. The LTL specifications proposed in [37] is specialized for control specification.…”

Section: Related Workmentioning

confidence: 99%

Cyber–Physical Codesign at the Functional Level for Multidomain Automotive Systems

Canedo

Faruque

2015

IEEE Systems Journal

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Software-integrated multidomain automotive systems, which is also referred to as automotive cyber-physical systems (CPS) consist of various interacting domains (software, hardware, multiphysics, communication, etc.). Design decisions in one domain may completely change the constraints and requirements in the other domains, e.g., adding more functions in a modern automotive CPS may require changes to thousands of lines of software code or even the mechanical architecture. Existing CPS design methodologies are siloed in a specific domain and therefore have limited design space exploration capabilities because only one domain can be tested at a time. This paper presents a functional-level cyber-physical codesign methodology starting from the functional model of the CPS capable of concurrently expressing (multi-)physics and control in automotive applications. Moreover, we introduce a high-level synthesis algorithm capable of selecting a set of optimized system architectures using various executable simulation components and cost metrics. We demonstrate our methodology with a realistic automotive use case and explore various design alternatives for implementing the control systems in pure continuous domain (e.g., traditional automotive subsystems without engine control units) or hybrid domain (e.g., brake-by-wire, steer-by-wire, drive-by-wire, etc.) under power, performance, and reliability constraints.

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Real-Time Simulation of Physical Systems Using Simscape™

Cited by 21 publications

References 1 publication

Modeling and model calibration for model predictive occupants comfort control in buildings

Modeling and model calibration for model predictive occupants comfort control in buildings

Modeling three-phase saturable transformers for real-time simulation

Cyber–Physical Codesign at the Functional Level for Multidomain Automotive Systems

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