Design and experiment of fuzzy-PID based tillage depth control system for a self-propelled electric tiller

IF 2.2 2区 农林科学 Q2 AGRICULTURAL ENGINEERING International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI:10.25165/j.ijabe.20231604.8116
Maohua Xiao, Ye Ma, Chen Wang, Junyun Chen, Yejun Zhu, Petr Bartos, Guosheng Geng
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Abstract

The research on the self-propelled electric tiller is vital for further improving the quality and efficiency of greenhouse rotary tillage operation, reducing the work intensity and operation risk of operators, and achieving environmentally friendly characteristics. Most of the existing self-propelled tillers rely on manual adjustment of the tillage depth. Moreover, the consistency and stability of the tillage depth are difficult to guarantee. In this study, the automatic control method of tillage depth of a self-propelled electric tiller is investigated. A method of applying the fuzzy PID (Proportional Integral Derivative) control method to the tillage depth adjustment system of a tiller is also proposed to realize automatic control. The system uses the real-time detection of the resistance sensor and angle sensor. The controller runs the electronically controlled hydraulic system to adjust the force and position comprehensively. The fuzzy control algorithm is used in the operation error control to realize the double-parameter control of the tillage depth. The simulation and experimental verification of the system are conducted. Results show that the control system applying fuzzy PID can improve the soil breaking rate by 3% in the operation process based on reducing the stability variation of tillage depth by 24%. The control strategy can reach the set value of tillage depth quickly and accurately. It can also meet the requirement of tillage depth consistency during the operation. Keywords: fuzzy PID, self-propelled electric tiller, tillage depth, electro-controlled hydraulic system, comprehensive adjustment of force and position DOI: 10.25165/j.ijabe.20231604.8116 Citation: Xiao M H, Ma Y, Wang C, Chen J Y, Zhu Y J, Bartos P, et al. Design and experiment of fuzzy-PID based tillage depth control system for a self-propelled electric tiller. Int J Agric & Biol Eng, 2023; 16(4): 116-125.
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基于模糊pid的自行式电动分蘖机耕深控制系统设计与试验
自走式电动分蘖机的研究对于进一步提高温室旋耕机作业质量和效率,降低操作人员的工作强度和操作风险,实现环境友好化具有重要意义。现有的自行式分蘖机大多依靠人工调节耕作深度。此外,耕作深度的一致性和稳定性难以保证。本文研究了自行式电动分蘖机的耕深自动控制方法。提出了一种将模糊PID(比例积分导数)控制方法应用于分蘖机耕深调节系统,实现自动控制的方法。该系统采用电阻传感器和角度传感器进行实时检测。控制器通过电控液压系统对力和位置进行综合调节。在操作误差控制中采用模糊控制算法,实现了耕作深度的双参数控制。对系统进行了仿真和实验验证。结果表明,采用模糊PID控制系统,在将耕深稳定性变化降低24%的基础上,可使操作过程中的破土率提高3%。该控制策略能快速、准确地达到耕深设定值。同时也能满足作业中对耕作深度一致性的要求。关键词:模糊PID,自走式电动分耕机,耕深,电控液压系统,力位综合调节[DOI: 10.25165/ j.j ijabe.20231604.8116]基于模糊pid的自行式电动分蘖机耕深控制系统设计与试验。农业与生物工程学报,2023;16(4): 116 - 125。
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来源期刊
CiteScore
4.30
自引率
12.50%
发文量
88
审稿时长
24 weeks
期刊介绍: International Journal of Agricultural and Biological Engineering (IJABE, https://www.ijabe.org) is a peer reviewed open access international journal. IJABE, started in 2008, is a joint publication co-sponsored by US-based Association of Agricultural, Biological and Food Engineers (AOCABFE) and China-based Chinese Society of Agricultural Engineering (CSAE). The ISSN 1934-6344 and eISSN 1934-6352 numbers for both print and online IJABE have been registered in US. Now, Int. J. Agric. & Biol. Eng (IJABE) is published in both online and print version by Chinese Academy of Agricultural Engineering.
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