The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 11, 2025

Filed:

Dec. 30, 2021
Applicant:

Zf Automotive Uk Limited, Solihull, GB;

Inventor:

Xiao-Dong Sun, Solihull, GB;

Assignee:

ZF Automotive UK Limited, Solihull, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 50/06 (2006.01); B60W 50/00 (2006.01); G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
B60W 50/06 (2013.01); B60W 50/0098 (2013.01); G05B 13/027 (2013.01); B60W 2050/0011 (2013.01); B60W 2050/0012 (2013.01); B60W 2050/0014 (2013.01);
Abstract

An automotive vehicle control circuit can include a PID Controller that receives at an input a set point signal for the closed-loop control system and provides as an output a control signal that is fed to the motion control system. The PID controller is arranged in a closed-loop configuration with the motion control system to minimise an error value indicative of the difference between the demanded behaviour of the motion control system as indicated by the demand signal and the actual behaviour of the motion control system. The control circuit can include a neural network which has an input layer of neurons, at least one hidden layer of neurons, and an output layer comprising at least one output neuron, in which the neural network comprises a feedforward neural network that receives at the input layer of input neurons the demand signal, the drive signal output from the controller and the error value. The neural network is configured to determine one or more of the P gain, I gain and D gain terms used by the PID controller, and the neural network receives as a feedforward term at least one additional discrete environmental variable.


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