Cae Inc.

Vincent Myrand-Lapierre

Olivier Soucy

Daniel Spira

Gregory Moszczynski

Disclosed is a method of efficiently generating a computer-generated forces (CGF) entity that includes a simulated external vehicle within an interactive computer simulation that is displayed within an interactive simulation environment by an interactive computer simulation station. The method entails creating an array of state-space model structures having initially unknown parameters that, once known, will define a linearized approximation of a non-linear model of the simulated external vehicle, generating frequency response matrices by exciting each input-output relationship of the non-linear model of the simulated external vehicle at a plurality of trim conditions using very short Gaussian pulses, wherein the frequency response matrices define a plurality of linear equations, calculating the parameters by solving the linear equations of the frequency response matrices to thereby provide an array of state-space models that defines the linearized approximation of the non-linear model, and using the array of state-space models to generate the CGF entity.

Efficient creation of computer-generated force (CGF) entities using frequency response matrices

A method and computer system for dynamically updating a model associated to a simulated interactive object in an interactive computer simulation comprising a computer generated environment. In real-time, a simulated behavior of the simulated interactive object is provided considering the model associated thereto. After reception of a request to modify the model, a new model is determined and validated by computing a validation indicator. The validation indicator computation considers interrelated parameters associated to the model and simulated constraints associated to the computer generated environment. The model is then selectively and dynamically updated into a new model considering at least the validation indicator. Subsequently, in real-time, an updated simulated behavior of the simulated interactive object is provided correspondingly considering the model or the new model associated thereto.

Dynamically updating a model associated to a simulated interactive object

Troubleshooting a model comprising a plurality of interrelated parameters defining a dynamic behavior of a simulated interactive object in an interactive computer simulation when inputs are provided on tangible instrument(s) of an interactive computer simulation station. An expected frequency response function is obtained between each of the parameters of the model and each of the instrument(s). The expected frequency response function comprises a tolerable variability function. A frequency sweep is performed of a revised model, defining a revised dynamic behavior of the simulated interactive object, providing an actual frequency response function for the instrument(s). The revised model is determined to be different from the model by identifying discrepancy measurement(s) between the expected and the actual frequency response functions, each discrepancy measurement being centered on at least one frequency. The revised model is identified as inadequate when one or more discrepancy measurements is outside of the tolerable variability function.

Troubleshooting a model defining a dynamic behavior of a simulated interactive object

Repairing a model comprising a plurality of interrelated parameters defining a dynamic behavior of a simulated interactive object in an interactive computer simulation when inputs are provided on tangible instrument(s) of an interactive computer simulation station. An expected frequency response function is obtained between each of the parameters of the model and each of instruments. Discrepancy measurement(s) are identified between the expected frequency response function and an actual frequency response function obtained from a frequency sweep of the model. At least one target parameter is identified as a potential cause of the discrepancy measurement(s). Until a subsequent frequency response function matches the expected frequency response function, or until each of the target parameter(s) has been fully varied throughout a corresponding range, the target parameter(s) are dynamically and iteratively varied within their corresponding ranges and a subsequent frequency sweep providing the subsequent frequency response is thereafter performed.

Repairing a model associated to a simulated interactive object

Continuous monitoring of a model in an interactive computer simulation station. The model comprises a plurality of interrelated parameters defining a dynamic behavior of a simulated interactive object in an interactive computer simulation when inputs are provided on tangible instrument(s) of the station. During a diagnostic period of time, a frequency sweep of the model is performed for measuring the dynamic behavior of the simulated interactive object. During the frequency sweep, each of the tangible instrument(s) is automatically mechanically moved following an input function defining an input range variation at a related frequency. The frequency sweep provides an actual frequency response function for the tangible instrument(s) defining the dynamic behavior. The station is determined to require maintenance when the dynamic behavior of the simulated interactive object, measured by the frequency sweep, is outside of a target dynamic behavior range for the simulated interactive object.

Continuous monitoring of a model in an interactive computer simulation station

A method of developing a mathematical model of dynamics of a vehicle for use in a computer-controlled simulation, comprising: selecting a coefficient of a state-space model mathematically modelling the dynamics of the vehicle, the selected coefficient having a value for a predetermined state of the vehicle; and varying, a parameter of a physically-based computerized model mathematically modelling the dynamics of the vehicle, the parameter related to at least one of physical characteristics of the vehicle and phenomena influencing the dynamics of the vehicle, to improve the accuracy of the physically-based model via computer-implemented numerical optimization, the computer-implemented numerical optimization targeting the coefficient of the state-space model such that the difference between a value predicted by the physically-based model and the value of the coefficient of the state-space model for the predetermined vehicle state is within a predetermined range.

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Montréal, Canada

Vincent Myrand-Lapierre