Flow Control of Tractor Multi-Channel Hydraulic Tester Based on AMESim and PSO-Optimized Fuzzy-PID

Qinglun Li, Xuefeng Bai, Yang Lu, Xiaoting Deng () and Zhixiong Lu
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Qinglun Li: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Xuefeng Bai: Jiangsu Province Agricultural Machinery Test and Identification Station, Nanjing 210017, China
Yang Lu: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Xiaoting Deng: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Zhixiong Lu: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

Agriculture, 2025, vol. 15, issue 11, 1-23

Abstract: To improve the dynamic response, linearity, and control accuracy of the YYSCT-250-3 tractor multi-circuit hydraulic output power tester, this study develops a particle swarm optimization (PSO)-tuned fuzzy-proportional–integral–derivative (Fuzzy-PID) control strategy. By modulating the actuator-driven ball valve’s rotation angle (0–90°) in the proportional flow valve, the controller uses both the flow rate error and its rate of change between the setpoint and the flow meter feedback as fuzzy inputs to adjust the PID outputs. A detailed mathematical model of the electro-hydraulic proportional flow system is established, incorporating hydraulic resistance torque on the ball valve spool and friction coefficients to enhance accuracy. Through MATLAB/Simulink (R2022a) simulations, the PSO algorithm optimizes the fuzzy membership functions and PID gains, yielding faster response, reduced overshoot, and minimal steady-state error. The optimized controller achieved relative steady-state flow errors within ±1.0% and absolute flow control errors within ±0.5 L/min, significantly outperforming the traditional PID controller. These results demonstrate that the PSO-optimized Fuzzy-PID approach effectively addresses the flow control challenges of the YYSCT-250-3, enhancing both testing efficiency and precision. This work provides a robust theoretical framework and practical reference for rapid, high-precision flow control in multi-channel hydraulic power testing.

Keywords: electro-hydraulic proportional valve; Fuzzy-PID control; optimization of particle groups; control accuracy (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: 2025
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