Harvester with intelligent hybrid control system
First Claim
1. A control system for controlling an agricultural implement operable in varying operating conditions and having a plurality of adjustable output devices affecting implement operation, the control system comprising:
- a plurality of actuators connected to the output devices;
feedback devices providing feedback signals indicative of the adjustments of the output devices;
a plurality of sensors providing input signals indicative of implement input condition and controlled variables;
an automatically adjustable controller connected to the actuators and responsive to the feedback signals and the input signals for automatically controlling the output devices; and
wherein the automatically adjustable controller includes a neuro-fuzzy inference system that learns and stores parameters from implement experience, the inference system thereby providing one of the knowledge sources to the control system.
1 Assignment
0 Petitions
Accused Products
Abstract
A control system for a harvester or similar implement includes a supervisory controller, a set of low-level controllers and a neuro-fuzzy inference system. The supervisory controller employs human expert knowledge and fuzzy logic. The controller monitors the quality of the harvesting process, such as gain loss, dockage, grain damage and the like. Based on the measurements, setpoints for all critical functional elements of the implement are determined. The neuro-fuzzy inference system determines machine settings according to operating conditions and learns from harvester experience. The parameters of the neuro-fuzzy inference system are stored in on-board memory. The neuro-fuzzy system can be used for harvester set-up and as one of the knowledge sources for repeated adjustments during the harvest.
-
Citations
29 Claims
-
1. A control system for controlling an agricultural implement operable in varying operating conditions and having a plurality of adjustable output devices affecting implement operation, the control system comprising:
-
a plurality of actuators connected to the output devices;
feedback devices providing feedback signals indicative of the adjustments of the output devices;
a plurality of sensors providing input signals indicative of implement input condition and controlled variables;
an automatically adjustable controller connected to the actuators and responsive to the feedback signals and the input signals for automatically controlling the output devices; and
wherein the automatically adjustable controller includes a neuro-fuzzy inference system that learns and stores parameters from implement experience, the inference system thereby providing one of the knowledge sources to the control system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
-
-
11. A control system for controlling an agricultural implement operable in varying operating conditions and having a plurality of adjustable output devices affecting implement output, the control system comprising:
-
a plurality of actuators connected to the output devices;
a plurality of sensors providing implement input condition signals;
control sensors for providing implement output performance information;
an automatically adjustable controller connected to the actuators and responsive to the input condition signals for automatically controlling the output devices; and
wherein the automatically adjustable controller comprises an adaptive neurofuzzy inference system, and a supervisory controller connected to the actuators and the neuro-fuzzy inference system, wherein the neuro-fuzzy inference system learns implement operation and adapts automatic control of the output devices to the learned implement operation to optimize implement output. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
-
-
21. A control system for controlling a combine operable in varying operating harvesting conditions and having a plurality of adjustable output devices affecting implement output, the control system comprising:
-
a plurality of actuators connected to the output devices;
feedback control sensors providing machine performance feedback signals;
a plurality of sensors providing implement input condition signals;
an automatically adjustable controller connected to the actuators and responsive to the input condition signals and the feedback signals for automatically controlling the output devices on-the-go during harvesting;
an operator interface connected to the automatically adjustable controller for entering adjustment information; and
wherein the automatically adjustable controller comprises an adaptive neurofuzzy inference system for receiving the signals and learning operating conditions, a supervisory controller connected to the actuators and the neuro-fuzzy inference system, the supervisory controller including a selector responsive to input condition signals and the adjustment information for facilitating determination of the control of the output devices, and fuzzy controller structure connected to the selector and providing quantitative information for output device control. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29)
-
Specification