Simulation and Experiment of an Intelligent Control Model for the Cleaning of a Rice-wheat Combine Harvester

Authors

Qing Jiang, 1.Faculty of Electronic and Information Engineering, West Anhui University, Lu’an 237012, China;Follow
Rujing Wang, 2.Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China;

Abstract

Abstract: Modeling and simulation of cleaning intelligent control according to the changes of cleaning loss rate and trash content rate is the focus of research and hot issues of intelligent control of rice-wheat combine harvester. A method for acquiring knowledge of the experts' experience and knowledge is constructed based on the flow chart of cleaning control, and a cleaning intelligent control knowledge base for the intelligent control of the field operation environment based on the production rule is proposed. Based on the principle of human-simulating intelligent control, a knowledge inference algorithm for adaptive selection of cleaning regulation strategy is constructed, and the construction of the cleaning intelligent control model is completed. Based on the Simulink module library of Matlab, the simulation and experiment environment of the cleaning intelligent control model is constructed. By simulating the input of the cleaning impurity rate and the cleaning loss rate, the intelligent control algorithm is simulated and analyzed.

Recommended Citation

Jiang, Qing and Wang, Rujing (2022) "Simulation and Experiment of an Intelligent Control Model for the Cleaning of a Rice-wheat Combine Harvester," Journal of System Simulation: Vol. 34: Iss. 11, Article 17.
DOI: 10.16182/j.issn1004731x.joss.21-0136
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss11/17

First Page

2485

Revised Date

2021-07-20

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0136

Last Page

2496

CLC

S225.3;TP391.9

Recommended Citation

Qing Jiang, Rujing Wang. Simulation and Experiment of an Intelligent Control Model for the Cleaning of a Rice-wheat Combine Harvester[J]. Journal of System Simulation, 2022, 34(11): 2485-2496.

DOI

10.16182/j.issn1004731x.joss.21-0136