Anti-Interference Compound Controller Design for Semi-Active Suspension Based on Half-Vehicle Model

Liu, Qi; Huang, Jin; Jiang, Zengru; Zhou, Junjie

doi:10.1109/ccdc.2019.8833284

Cited by 2 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During the calculation, the local pressure loss and pressure loss throughout the oil flow process are taken into account, Assuming that the displacement of the piston rod in the hydraulic cylinder is x L , the output force of the HPS is decomposed into elastic force F s and damping force F c [24], which is defined by…”

Section: Establishment Of An Hps System Modelmentioning

confidence: 99%

“…Agriculture 2024, 14, x FOR PEER REVIEW During the calculation, the local pressure loss and pressure loss throughou flow process are taken into account, Assuming that the displacement of the pisto the hydraulic cylinder is xL, the output force of the HPS is decomposed into elas Fs and damping force Fc [24], which is defined by In actual operation, sprayers are required to assume additional transportation and transfer functions, necessitating a suspension system with superior handling performance. To address this, the vertical shaft-independent suspension was adopted in this study, and the hydraulic cylinder was vertically arranged between the motor and the vehicle body.…”

Section: Establishment Of An Hps System Modelmentioning

confidence: 99%

See 1 more Smart Citation

Research on a Variable Universe Control Method and the Performance of Large Sprayer Active Suspension Based on an Artificial Fish Swarm Algorithm–Back Propagation Fuzzy Neural Network

Yang,

Liu,

Zhang

et al. 2024

Agriculture

View full text Add to dashboard Cite

In view of the typical requirements of large high-clearance sprayers, such as those operating in poor road conditions for farmland plant protection and at high operation speeds, reducing the vibration of sprayer suspension systems has become a research hotspot. In this study, the hydro-pneumatic suspension (HPS) of large high-clearance sprayers was taken as the object, and a variable universe T-S fuzzy controller with real vehicle vibration data as input was proposed to control suspension motion in real time. Different from traditional semi-active suspension, based on the characteristics of variable universe extension factors, a training method combining the artificial fish swarm algorithm and the back propagation algorithm was used to establish a fuzzy neural network controller with precise input to optimize the variable universe. Then, the time-domain and frequency-domain response characteristics of HPS were analyzed by simulating the special road conditions typical of farmland. Finally, the field performance of the sprayer equipped with the new controller was tested. The results show that the error rate of the AFSA-BP algorithm in training the FNN could be reduced to 3.9%, and compared with a passive suspension system, the T-S fuzzy controller improved the effects of spring mass acceleration, pitch angle acceleration, and roll angle acceleration by 18.3%, 23.3%, and 27.7%, respectively, verifying the effectiveness and engineering practicality of the active controller in this study.

show abstract

Section: Establishment Of An Hps System Modelmentioning

confidence: 99%

Section: Establishment Of An Hps System Modelmentioning

confidence: 99%