EconPapers    
Economics at your fingertips  
 

Effects of Temperatures and Viscosity of the Hydraulic Oils on the Proportional Valve for a Rice Transplanter Based on PID Control Algorithm

Md. Abu Ayub Siddique, Wan-Soo Kim, Yeon-Soo Kim, Taek-Jin Kim, Chang-Hyun Choi, Hyo-Jai Lee, Sun-Ok Chung and Yong-Joo Kim
Additional contact information
Md. Abu Ayub Siddique: Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea
Wan-Soo Kim: Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea
Yeon-Soo Kim: Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea
Taek-Jin Kim: Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea
Chang-Hyun Choi: Department of Bio-Mechatronics Engineering, Sungkyunkwan University, Suwon 16419, Korea
Hyo-Jai Lee: Department of Bio-Industry Mechanical Engineering, College of Industrial Science, Kongju National University, Chungnam 32439, Korea
Sun-Ok Chung: Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea
Yong-Joo Kim: Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea

Agriculture, 2020, vol. 10, issue 3, 1-20

Abstract: This study was conducted to develop a proportional-integral-derivative (PID) control algorithm considering viscosity for the planting depth control system of a rice transplanter using various hydraulic oils at different temperatures and to evaluate the performance of the control algorithm, and compare the performance of the PID control algorithm without considering viscosity and considering viscosity. In this study, the simulation model of the planting depth control system and a PID control algorithm were developed based on the power flow of the rice transplanter (ERP60DS). The primary PID coefficients were determined using the Ziegler-Nichols (Z-N) second method. Routh’s stability criteria were applied to optimize the coefficients. The pole and double zero points of the PID controller were also applied to minimize the sustained oscillations of the responses. The performance of the PID control algorithm was evaluated for three ISO (The International Organization for Standardization) standard viscosity grade (VG) hydraulic oils (VG 32, 46, and 68). The response characteristics were analyzed using statistical method (ANOVA) and Duncan’s multiple range test (DMRT) at a significant level of 0.05 were performed through the statistical software SPSS. The results show that the control algorithm considering viscosity is able to control the pressure of the proportional valve, which is associated with the actuator displacement for various types of hydraulic oils. It was noticed that the maximum pressure was 15.405 bars at 0, 20, 40, 60, 80, and 100 °C for all of the hydraulic oils. The settling time and steady-state errors were 0.45 s at 100 °C for VG 32 and 0% for all of the conditions. The maximum overshoots were found to be 17.50% at 100 °C for VG 32. On the other hand, the PID control algorithm without considering viscosity could not control the planting depth, because the response was slow and did not satisfy the boundary conditions. The PID control algorithm considering viscosity could sufficiently compensate for the nonlinearity of the hydraulic system and was able to perform for any of temperature-dependent viscosity of the hydraulic oils. In addition, the rice transplanter requires a faster response for accurately controlling and maintaining the planting depth. Planting depth is highly associated with actuator displacement. Finally, this control algorithm considering viscosity could be helpful in minimizing the tilting of the seedlings planted using the rice transplanter. Ultimately, it would improve the transplanter performance.

Keywords: transplanter; hydraulic oil; temperature; viscosity; proportional valve (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/2077-0472/10/3/73/pdf (application/pdf)
https://www.mdpi.com/2077-0472/10/3/73/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:10:y:2020:i:3:p:73-:d:331576

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jagris:v:10:y:2020:i:3:p:73-:d:331576