SYSTEMS, METHODS, AND COMPUTER-READABLE MEDIA FOR CONTROLLING SUSPENSION OF VEHICLE
First Claim
1. A system for controlling a suspension for a vehicle, the system comprising:
- a controller programmed to implement;
a platform model;
a suspension model;
a first neural oscillator model; and
a second neural oscillator model;
wherein the platform model and the suspension model are expressed by virtual mass-spring-damper models;
wherein the first neural oscillator model and the second neural oscillator model feed back an output to each model to;
acquire displacements of the platform model and the suspension model from displacements inputted into a tire;
acquire feedbacks of the first neural oscillator model and the second neural oscillator model from the displacements of the platform model and the suspension model; and
acquire pressing force required in the suspension for the vehicle from the feedback of the second neural oscillator model.
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Accused Products
Abstract
The present invention provides systems, methods, and computer-readable media for controlling a suspension for a vehicle in which a platform model and a suspension model are provided and a first neural oscillator model and a second neural oscillator model that feed back an output to each model to acquire displacements of the platform model and the suspension model from displacements inputted into a tire, acquire feedbacks of the first neural oscillator model and the second neural oscillator model from the displacements of the platform model and the suspension model, and acquire pressing force required in the suspension for the vehicle from the feedback of the second neural oscillator model.
21 Citations
8 Claims
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1. A system for controlling a suspension for a vehicle, the system comprising:
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a controller programmed to implement; a platform model; a suspension model; a first neural oscillator model; and a second neural oscillator model; wherein the platform model and the suspension model are expressed by virtual mass-spring-damper models; wherein the first neural oscillator model and the second neural oscillator model feed back an output to each model to; acquire displacements of the platform model and the suspension model from displacements inputted into a tire; acquire feedbacks of the first neural oscillator model and the second neural oscillator model from the displacements of the platform model and the suspension model; and acquire pressing force required in the suspension for the vehicle from the feedback of the second neural oscillator model. - View Dependent Claims (2, 3, 4, 5)
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6. A method for controlling a suspension for a vehicle, the method comprising:
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acquiring displacements of a platform model and a suspension model from displacements inputted from the platform model and the suspension model expressed by virtual mass-spring-damper models into a tire; inputting the displacement of the platform model into a first neural oscillator model that feeds back an output to the platform model; inputting the feedback of the first neural oscillator model and the displacement of the suspension model to a second neural oscillator model that feeds back the output to the suspension model; and acquiring pressing force required for the suspension of the vehicle from the feedback of the second neural oscillator model. - View Dependent Claims (7)
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8. A non-transitory computer readable medium containing program instructions executed by a processor or controller, the computer readable medium comprising:
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program instructions that acquire displacements of a platform model and a suspension model from displacements inputted from the platform model and the suspension model expressed by virtual mass-spring-damper models into a tire; program instructions that input the displacement of the platform model into a first neural oscillator model that feeds back an output to the platform model; program instructions that input the feedback of the first neural oscillator model and the displacement of the suspension model to a second neural oscillator model that feeds back the output to the suspension model; and program instructions that acquire pressing force required for the suspension of the vehicle from the feedback of the second neural oscillator model.
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Specification