Control system of sugarcane harvester cutter based on fuzzy PID optimized by genetic algorithm
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1.School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China;2.Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment Technology,Wuxi 214122, China;3.Institute of Agricultural Machinery, Chinese Academy of Tropical Agricultural Sciences/ Key Laboratory of Agricultural Equipment for Tropical Crops, Ministry of Agriculture and Rural Affairs/Guangdong Provincial Research Center for Precision Emission Control of Agricultural Particulates/ Zhanjiang Key Laboratory of Particle Dynamics and Precision Control, Zhanjiang 524091,China;4.Leizhou Leibao Machinery Co., LTD., Zhanjiang 524200, China

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TP391.4;S238

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    Abstract:

    A set of automatic control system of sugarcane harvester cutter was designed to solve the problem that the sugarcane harvester cutter cannot automatically control the depth of cutting device, which affects the quality of harvest. The system mainly included angle profile mechanism, depth detection system, hydraulic system and control system. The fuzzy PID control algorithm optimized by genetic algorithm was used to adjust the depth of the soil in real time through Simulink step response and step response with random interference simulation. The results showed that the overshoot of fuzzy PID control algorithm optimized by genetic algorithm was 4.9%. The adjustment time was 1.535 s, being improved compared with PID control algorithm and fuzzy PID control algorithm. The results of comparing laboratory test showed that the error of fuzzy PID control algorithm optimized by genetic algorithm was (-0.5,0.5), which was the smallest, indicating that it automatically control the depth of the cutter effectively.

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李腾辉,周德强,何冯光,邓干然,崔振德,王翔,陈自宏. Control system of sugarcane harvester cutter based on fuzzy PID optimized by genetic algorithm[J]. Jorunal of Huazhong Agricultural University,2023,42(2):243-250.

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History
  • Received:July 21,2022
  • Revised:
  • Adopted:
  • Online: March 31,2023
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