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Research on Load Disturbance Based Variable Speed PID Control and a Novel Denoising Method Based Effect Evaluation of HST for Agricultural Machinery

Author

Listed:
  • Zhun Cheng

    (Department of Vehicle Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Zhixiong Lu

    (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

Abstract

This paper aims to realize and improve the constant speed control performance of tractors with HST (Hydrostatic Transmission) variable speed units. To achieve this, based on the HST test bench of the tractor, we perform a verification test of the adjustable speed characteristics, a denoising filter test of the response signal, a test on the influence of the load disturbance on the adjustable speed characteristics and a PID-based constant speed performance detection test. The results of the verification test of the adjustable speed characteristics show that the theoretical value and actual value of the adjustable speed transmission characteristics of the HST used are essentially consistent with each other. The results of the test of the load disturbance’s influence on the adjustable speed characteristics show that the increase in load torque inhibits the HST output response. Therefore, the paper proposes and designs a PID-based closed-loop constant speed control system. The paper uses a step response test and a load disturbance test to research the control result of the constant speed system. Collecting and analyzing all test results, we find that the constant speed control based on PID has a very good result. The average error between the average HST output speed and the target speed set was 0.37%, and the average standard deviation of output speed was 1.18 rpm. In addition, the paper proposes a denoising method combing the empirical mode decomposition method and the Gaussian distribution determination. The method shows that the first two orders of the components of the HST response signal should be removed as noise. The paper uses the denoised signal and the partial least squares method to analyze the influencing factors of the constant speed control result. The analysis results show that the rate of change of load torque has the biggest influence on the stability of HST output speed, followed by the target value.

Suggested Citation

  • Zhun Cheng & Zhixiong Lu, 2021. "Research on Load Disturbance Based Variable Speed PID Control and a Novel Denoising Method Based Effect Evaluation of HST for Agricultural Machinery," Agriculture, MDPI, vol. 11(10), pages 1-18, October.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:10:p:960-:d:648922
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    References listed on IDEAS

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    1. Zhijie Liu & Guoqiang Zhang & Guoping Chu & Hanlin Niu & Yazhou Zhang & Fuzeng Yang, 2021. "Design Matching and Dynamic Performance Test for an HST-Based Drive System of a Hillside Crawler Tractor," Agriculture, MDPI, vol. 11(5), pages 1-21, May.
    2. Volodymyr Bulgakov & Aivars Aboltins & Semjons Ivanovs & Ivan Holovach & Volodymyr Nadykto & Hristo Beloev, 2020. "A Mathematical Model of Plane-Parallel Movement of the Tractor Aggregate Modular Type," Agriculture, MDPI, vol. 10(10), pages 1-22, October.
    3. Guanting Pan & Jingbin Sun & Xiaole Wang & Fuzeng Yang & Zhijie Liu, 2021. "Construction and Experimental Verification of Sloped Terrain Soil Pressure-Sinkage Model," Agriculture, MDPI, vol. 11(3), pages 1-17, March.
    4. Yuan Chen & Yu Qian & Zhixiong Lu & Shuang Zhou & Maohua Xiao & Petr Bartos & Yeping Xiong & Guanghu Jin & Wei Zhang & Alina Gavrilu, 2021. "Dynamic Characteristic Analysis and Clutch Engagement Test of HMCVT in the High-Power Tractor," Complexity, Hindawi, vol. 2021, pages 1-8, January.
    5. Antonina Kalinichenko & Valerii Havrysh & Vasyl Hruban, 2018. "Heat Recovery Systems for Agricultural Vehicles: Utilization Ways and Their Efficiency," Agriculture, MDPI, vol. 8(12), pages 1-18, December.
    6. Marco Singer & Tatyana Krivobokova & Axel Munk & Bert de Groot, 2016. "Partial least squares for dependent data," Biometrika, Biometrika Trust, vol. 103(2), pages 351-362.
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    Cited by:

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    2. Meng Yang & Xiaoxu Sun & Xiaoting Deng & Zhixiong Lu & Tao Wang, 2023. "Extrapolation of Tractor Traction Resistance Load Spectrum and Compilation of Loading Spectrum Based on Optimal Threshold Selection Using a Genetic Algorithm," Agriculture, MDPI, vol. 13(6), pages 1-20, May.
    3. Francesco Mocera & Aurelio Somà & Salvatore Martelli & Valerio Martini, 2023. "Trends and Future Perspective of Electrification in Agricultural Tractor-Implement Applications," Energies, MDPI, vol. 16(18), pages 1-36, September.

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