System for intelligent control of an engine based on soft computing
US6609060B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 2, 2001 |
| Grant date | Aug 19, 2003 |
| Priority date | — |
| Expiry date | Feb 2, 2021 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF02D2041/288
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
A reduced control system suitable for control of an engine as a nonlinear plant is described. The reduced control system is configured to use a reduced sensor set for controlling the plant without significant loss of control quality (accuracy) as compared to an optimal control system with an optimum sensor set. The control system calculates the information content provided by the reduced sensor set as compared to the information content provided by the optimum set. The control system also calculates the difference between the entropy production rate of the plant and the entropy production rate of the controller. A genetic optimizer is used to tune a fuzzy neural network in the reduced controller. A fitness function for the genetic optimizer provides optimum control accuracy in the reduced control system by minimizing the difference in entropy production while maximizing the sensor information content.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.