Digital Aerolus, Inc.

Ian J McEwan

Thomas D Williams

Jeffery J Alholm

Jacob B Davisson

John C Blessing

Frank C Glazer

Jay D Manifold

Laurence R Williams

A method and system for controlling movement of a vehicle. Movement, orientation, and position data of the vehicle is collected. A model of kinematics of the vehicle and its environment is created and a Theory of World model is produced and updated. The model includes geometric algebra multivectors. Errors and noise are stored as geometrically meaningful first-class objects within the multivectors. Geometric algebra operations are used to manipulate the model during operation. Error and noise data are propagated and manipulated using geometric algebra operations to reflect measurement and processing errors or noise. The models are used in generation of control data with a primary intent of ensuring stability. Operations such as intersections are used to compare position, orientation, and movement of the vehicle against position, orientation, and movement of objects in its environment. System tasks include, but are not limited to, kinematics, inverse kinematics, collision avoidance, and dynamics.

Control of vehicle movement by application of geometric algebra and state and error estimation

Methods of assembling motor windings comprising wrapping windings around a central longitudinal axis in a cylindrical shape having a plurality of annularly spaced positions such that the windings form 'n' and/or 'u' shapes around the positions. As the windings encircle the longitudinal axis, they are wrapped in an outward spiral or inward spiral such that each pass of the windings is stacked on a previous pass.

Method for fabricating brushless motor windings

A computer-implemented system and method for balancing battery cells of a multi-cell battery, the system comprising a processor configured to determine a state of charge for each battery cell, generate a probability table for all of the battery cells based on a difference between the state of charge for each battery and a mean state of charge, select one of the battery cells via probabilistic selection according to the probability table, and generate an instruction for adjusting a charge of the selected battery cell.

Real time active multi-cell balancing

A control system and method for controlling an autonomous or semi-autonomous device. The method includes receiving a command signal representative of a desired acceleration, instructing the device to accelerate according to the desired acceleration, receiving a measurement signal representative of an actual acceleration, determining an initial control response based on the actual acceleration via a prediction model, applying a mathematical transform to the command signal and measurement signal, determining a mathematical model of the device based on the transformed command signal and transformed measurement signal, smoothing parameters of the mathematical model, inverting a transfer function of the mathematical model, updating control responses based on the mathematical model and inverted transfer function, and controlling the device according to the updated control responses. Improved performance of the control system itself and hence improved control of the autonomous or semi-autonomous device is thereby achieved.

Real time effective mass and moment of inertia measurement

A system and method of describing and executing autonomous or autonomous device behaviors via a computer-implemented system incorporating a fuzzy language, a simulator, and one or more runtimes. The fuzzy language combines high level behaviors and produces a set of parameter descriptions. The parameter descriptions are behavior characteristics whose values are not yet necessarily known or selected. The parameter descriptions are used via simulation to find relevant parameters and acceptable parameter values that result or will result in the autonomous or semi-autonomous device behaving as desired.

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Pasadena, CA, United States of America

Ian J McEwan