A wind field dynamic downscaling method based on aerodynamic parameters of simplified terrain, the method comprises steps of: numerically simulating the simplified terrain based on computational fluid dynamics to obtain the aerodynamic parameters of the simplified terrain; redistributing the wind speed at the corner point of a mesoscale grid within the downscaling grid based on terrain elevation data, land use type data and the aerodynamic parameters, to implement the wind field downscaling calculation. It is based on the aerodynamic parameters of the two-dimensional simplified terrain, and a new wind field dynamic downscaling scheme is designated by adding the high-resolution terrain elevation data and the land use type data.

Systems and methods are described for development of a nonlinear global aerodynamic model using fuzzy logic modeling as well as multivariate orthogonal function modeling with splines. The systems and methods described herein may be utilized to more quickly develop a global aerodynamic model of an aircraft, allowing for development of a global aerodynamic model of an aircraft in real-time, during a test flight, and reducing time and cost associated with the model development.

Systems and methods are described for development of a nonlinear global aerodynamic model using fuzzy logic modeling as well as multivariate orthogonal function modeling with splines. The systems and methods described herein may be utilized to more quickly develop a global aerodynamic model of an aircraft, allowing for development of a global aerodynamic model of an aircraft in real-time, during a test flight, and reducing time and cost associated with the model development.

A method of aeroservoelastic coupling suppression, and particularly, the field of real time adaptive cancellation of elastic modes in discrete-time signals which measure the dynamics of a flexible structure. The flexible structure comprises a structure with elastic variable characteristics, and more particularly, a structure with non-linear aerodynamics. A method is disclosed for adaptively cancelling, in real time, N elastic modes in discrete-time signals which measure the dynamics of the flexible structure. Also disclosed is a computer program implemented on a computing device, a system and an aircraft implementing the mentioned method.

A method of aeroservoelastic coupling suppression, and particularly, the field of real time adaptive cancellation of elastic modes in discrete-time signals which measure the dynamics of a flexible structure. The flexible structure comprises a structure with elastic variable characteristics, and more particularly, a structure with non-linear aerodynamics. A method is disclosed for adaptively cancelling, in real time, N elastic modes in discrete-time signals which measure the dynamics of the flexible structure. Also disclosed is a computer program implemented on a computing device, a system and an aircraft implementing the mentioned method.

This invention is a methodology, called CFD-based AIC generator, that can generate CFD-based structurally-independent Aerodynamic Influence Coefficient (AIC) matrices. Because the AIC matrices are independent of structure, they can be repeatedly used during the flight vehicle's structural design cycle for a fixed aerodynamic configuration to rapidly generate flutter, aeroservoelastic (ASE), and dynamic loads solutions. Inputs to processing include a CFD surface mesh, a coarsening ratio criterion, and a mid-layer panel model. The coarsening ratio criterion is computed from the CFD mesh. The mid-layer panel model is comprised of coarsened grid points derived from the CFD mesh and the coarsening ratio criterion.

This invention is a methodology, called CFD-based AIC generator, that can generate CFD-based structurally-independent Aerodynamic Influence Coefficient (AIC) matrices. Because the AIC matrices are independent of structure, they can be repeatedly used during the flight vehicle's structural design cycle for a fixed aerodynamic configuration to rapidly generate flutter, aeroservoelastic (ASE), and dynamic loads solutions. Inputs to processing include a CFD surface mesh, a coarsening ratio criterion, and a mid-layer panel model. The coarsening ratio criterion is computed from the CFD mesh. The mid-layer panel model is comprised of coarsened grid points derived from the CFD mesh and the coarsening ratio criterion.

Methods of determining resistive coefficients of a vehicle include using a force-based analysis method and a work-energy analysis method. The methods include receiving an input on a mobile device to initiate a test protocol along a path. The mobile device records a set of measurements for determining a drag area coefficient and a coefficient of rolling resistance for the vehicle using the force-based or work-energy analysis method. For the force-based analysis method, a direct measurement of proper acceleration of the vehicle is measured from an accelerometer on the mobile device. For the work-energy analysis method, a normal force on the vehicle is determined from a direct measurement of proper acceleration from an accelerometer on the mobile device. The mobile device determines the drag area coefficient and the coefficient of rolling resistance based on the set of measurements using the force-based or work-energy analysis method.

Methods of determining resistive coefficients of a vehicle include using a force-based analysis method and a work-energy analysis method. The methods include receiving an input on a mobile device to initiate a test protocol along a path. The mobile device records a set of measurements for determining a drag area coefficient and a coefficient of rolling resistance for the vehicle using the force-based or work-energy analysis method. For the force-based analysis method, a direct measurement of proper acceleration of the vehicle is measured from an accelerometer on the mobile device. For the work-energy analysis method, a normal force on the vehicle is determined from a direct measurement of proper acceleration from an accelerometer on the mobile device. The mobile device determines the drag area coefficient and the coefficient of rolling resistance based on the set of measurements using the force-based or work-energy analysis method.

A method and an apparatus for arranging wind turbines based on a rapid assessment fluid model and a wake model. The method for arranging wind turbines includes: calculating, via a rapid assessment fluid model and based on an anemometry data of a predetermined area in a wind farm, a flow field data of the predetermined area in the wind farm; selecting a first wind-speed area from the predetermined area in the wind farm based on at least one of an occupied area limitation, a gradient limitation, a turbulence limitation or a wind speed limitation; and calculating, via a differential evolution algorithm, coordinates for arranging wind turbines that make annual power production of each wind turbine in the first wind-speed area highest. The annual power production of each wind turbine in the first wind-speed area is calculated based on the flow field data and the wake model.