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基于FSMC-Kalman的帶式高速導種裝置控制系統(tǒng)研究
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北大荒農(nóng)墾集團有限公司2023年農(nóng)機研發(fā)制造推廣應用一體化試點項目,、國家自然科學基金項目(52275246)和黑龍江省重點研發(fā)計劃重大項目(2022ZX05B02)


Belt-type High-speed Seed Guide Device Control System Based on FSMC-Kalman
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    摘要:

    為解決帶式高速導種裝置導種過程中導種電機與排種器驅(qū)動電機轉(zhuǎn)速同步率低,、穩(wěn)定性差,造成播種株距變異系數(shù)升高,播種均勻度差的問題,,提出一種基于模糊滑??柭‵uzzy sliding mode control-Kalman,FSMC-Kalman)算法的帶式高速導種裝置控制系統(tǒng)。通過對系統(tǒng)運動過程分析建立了排種電機,、導種電機與作業(yè)速度的關系,,為研究系統(tǒng)控制策略,,對兩個電機建立了數(shù)學模型。提出的FSMC-Kalman算法利用模糊算法動態(tài)整定滑??刂破髦械谋平禂?shù)與速率系數(shù),,并在反饋環(huán)節(jié)加入卡爾曼濾波算法,從而增強控制系統(tǒng)的魯棒性與自適應能力,。仿真試驗表明:基于FSMC-Kalman算法的導種電機轉(zhuǎn)速無超調(diào),,調(diào)節(jié)時間為0.22s,穩(wěn)態(tài)誤差為4.68r/min,;基于FSMC-Kalman算法的排種電機轉(zhuǎn)速也無超調(diào),,調(diào)節(jié)時間為0.23s,穩(wěn)態(tài)誤差為1.96r/min,。臺架試驗表明:FSMC-Kalman算法4種作業(yè)速度的平均合格株距變異系數(shù)為7.98%。FSMC-Kalman算法相較于SMC算法平均合格株距變異系數(shù)降低4.67個百分點,,相較于FSMC算法平均合格株距變異系數(shù)降低3.36個百分點,,相較于SMC-Kalman算法平均合格株距變異系數(shù)降低2.06個百分點?;贔SMC-Kalman的帶式高速導種裝置控制系統(tǒng)能夠使導種電機與排種器驅(qū)動電機高同步率穩(wěn)定工作,,從而提高播種均勻度。

    Abstract:

    In order to solve the problem of low synchronization rate and poor stability of the speed of the driving motor and the belt high-speed guide device, which results in the increase of seeding distance coefficient and poor sowing uniformity, a control system of belt highspeed guide device based on fuzzy sliding mode control-Kalman (FSMC-Kalman) algorithm was studied. Through the analysis of the system movement process, the relationship between the train and guide motors and the operation speed was established to establish the mathematical model of the two motors. The proposed FSMC-Kalman algorithm used the approximation coefficient and rate coefficient in the fuzzy algorithm, and added the Kalman filter algorithm in the feedback link, so as to enhance the robustness and adaptability of the control system. The simulation test showed that the speed of guide motor based on FSMC-Kalman algorithm had no overshoot, the adjustment time was 0.22s, and the steady state error was 4.68r/min;the speed of type motor based on FSMC-Kalman algorithm had no overshoot, the adjustment time was 0.23s, and the steady state error was 1.96r/min. The bench test showed that the average qualified plant spacing coefficient of variation of the four operation speeds of FSMC-Kalman algorithm was 7.98%. The FSMC-Kalman algorithm reduced the average coefficient of variation by 4.67 percentage points, which was 3.36 percentage points lower than that of the FSMC algorithm, and 2.06 percentage points lower than the average coefficient of variation of the SMC-Kalman algorithm. The control system of belt high-speed guide device based on FSMC-Kalman can make the guide motor and the seed type drive motor work stably with high synchronization rate, thus improving the sowing uniformity.

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王淞,衣淑娟,趙斌,李衣菲,王光宇,李帥霏,孫文勝.基于FSMC-Kalman的帶式高速導種裝置控制系統(tǒng)研究[J].農(nóng)業(yè)機械學報,2024,55(12):169-179,,332. WANG Song, YI Shujuan, ZHAO Bin, LI Yifei, WANG Guangyu, LI Shuaifei, SUN Wensheng. Belt-type High-speed Seed Guide Device Control System Based on FSMC-Kalman[J]. Transactions of the Chinese Society for Agricultural Machinery,2024,55(12):169-179,,332.

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  • 收稿日期:2024-08-06
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  • 在線發(fā)布日期: 2024-12-10
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