Corn harvester loss rate control method and device, storage medium and equipment

A technology of corn harvester and control method, which is applied in the direction of adaptive control, general control system, neural learning method, etc., can solve problems such as poor performance, achieve the effect of reducing loss rate and improving self-adaptive ability

Pending Publication Date: 2021-11-09
CHINESE ACAD OF AGRI MECHANIZATION SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, based on fuzzy neural networks, the performance is poor when controlling nonlinear, time-varying, coupling, and complex processes with uncertain parameters and mechanisms.

Method used

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  • Corn harvester loss rate control method and device, storage medium and equipment
  • Corn harvester loss rate control method and device, storage medium and equipment
  • Corn harvester loss rate control method and device, storage medium and equipment

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Embodiment Construction

[0070] Below in conjunction with accompanying drawing, structural principle and working principle of the present invention are specifically described:

[0071] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the invention. However, those skilled in the art will appreciate that the technical solution of the present invention may be practiced without one or more of the specific de...

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Abstract

The invention discloses a corn harvester loss rate control method and device, a storage medium and equipment. The method comprises the following steps: constructing a dual-input single-output fuzzy neural network controller which comprises a front part network and a rear part network; carrying out offline learning by adopting a genetic algorithm-particle swarm algorithm, and determining a weight, a membership function center and a width which need to be learned in the fuzzy neural network controller by learning prior operation data of a system; carrying out online learning by adopting a BP algorithm, establishing the connection weight of the controller, detecting the rotating speed of the corn harvester kernel recovery device in real time, and adjusting adjustable parameters in the controller in real time in combination with online learning, so that the controller adapts to mechanical property changes of the corn harvester kernel recovery device and tracks a corn harvest rate set value. The invention further provides a corresponding corn harvester loss rate control method and device, a storage medium and equipment.

Description

technical field [0001] The invention relates to a corn harvester grain loss control technology, in particular to a method, device, storage medium and terminal computer equipment for controlling the loss rate of a corn harvester based on a fuzzy neural network algorithm. Background technique [0002] The corn harvester system is a complex control object with nonlinear, large time-delay, strong coupling and time-varying characteristics, and is disturbed by many uncertain factors, such as natural environment changes, mechanical wear, motor speed or human factors, etc. , these factors will cause the loss of corn harvest. Among them, the motor speed can be optimized by algorithm, so as to reduce the loss of corn harvest. [0003] Intelligent control has the ability of self-learning and self-adaptation, and has good control effects on linear and nonlinear systems, and can well solve the control of complex systems such as corn harvesters. Among them, neural network and fuzzy cont...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04G06N3/04G06N3/08
CPCG05B13/042G06N3/084G06N3/043G06N3/045
Inventor 赵博陈凯康汪凤珠王鹏飞郑永军刘阳春苑严伟
Owner CHINESE ACAD OF AGRI MECHANIZATION SCI
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