METHOD FOR REAL-TIME LEARNING OF ACTUATOR TRANSFER CHARACTERISTICS

Patent №

US 8,170,761

Granted

2012-05-01

Filed 2008

Owner

DELPHI TECHNOLOGIES, INC.

Lab

AI components

2

planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12041219

In a pressure control system having a solenoid-operated fluid valve that has an output hydraulic pressure which varies in accordance with a solenoid input signal, a dynamic learning block is configured to adjust the initial, default values for control points stored in a pressure-current (P-I) data table based on observed (measured) operating points that reflect the solenoid's actual transfer characteristic. A feed forward control block is configured to generate the solenoid input signal having a level based on the adjusted control points in the data table, which improves the accuracy of the solenoid input signal. An adjustment method uses a plurality of circular buffers each configured to store observed operating points falling within a respective range, and provides a mechanism to allow adjustment of the control points based on only partial data.

AI classification

Planning1.00
Evolutionary computation0.68
Knowledge representation0.38
Vision0.01
Natural language0.00
Machine learning0.00
AI hardware0.00
Speech0.00

Ownership

DELPHI TECHNOLOGIES, INC.

assignment · 205950639

Assignors

KRAENZLEIN, JEREMY J., MR., ZHENG, QUAN, MR.

On an employer assignment, the assignors are typically the inventors.

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