Dynamic response force control of electrohydraulic servo actuator of active suspension based on intelligent optimization algorithm

Traditional PID control faces challenges in addressing parameter uncertainty and nonlinearity in active suspension electrohydraulic servo actuators, leading to suboptimal performance. To address these challenges, a fractional-order PID (FOPID) controller optimization method based on the Multi-Strate...

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Bibliographic Details
Published in:PloS one Vol. 20; no. 6; p. e0323066
Main Authors: Guo, Qinghe, Wang, Mengchao, Liu, Renjun, Chen, Yurong, Wang, Shenghuai, Wang, Hongxia
Format: Journal Article
Language:English
Published: United States Public Library of Science 10.06.2025
Public Library of Science (PLoS)
Subjects:
Accuracy
Actuators
Algorithms
Animals
Biology and Life Sciences
Computer and Information Sciences
Computer Simulation
Controllers
Design
Dynamic response
Earth Sciences
Engineering and Technology
Exploitation
Genetic algorithms
Humans
Hydraulic actuators
Magnetic levitation systems
Mathematical optimization
Mechanical properties
Models, Theoretical
Nonlinear systems
Optimization
Optimization algorithms
Parameter uncertainty
Passenger comfort
Physical Sciences
Pitch (inclination)
Proportional integral derivative
Research and Analysis Methods
Root-mean-square errors
Servocontrol
Systems stability
Whales & whaling
China
ISSN:1932-6203, 1932-6203
Online Access:Get full text
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Summary:Traditional PID control faces challenges in addressing parameter uncertainty and nonlinearity in active suspension electrohydraulic servo actuators, leading to suboptimal performance. To address these challenges, a fractional-order PID (FOPID) controller optimization method based on the Multi-Strategy Improved Beluga Whale Optimization (MSIBWO) algorithm is proposed. Simulation results in MATLAB/Simulink demonstrate that the MSIBWO-FOPID controller significantly outperforms traditional PID and BWO-FOPID controllers in force tracking and robustness. For step input, the rise time and the root mean square error(RMSE) are reduced by 66.7 % and 70.3 % , respectively, compared to BWO-FOPID. For sine inputs, the system achieves better disturbance rejection and higher precision. Using a half-car model, the MSIBWO-FOPID controller improves ride comfort significantly. Under random road excitation, the RMSE values of the vehicle body’s vertical acceleration and pitch angle acceleration are reduced by 51.7 % and 13.1 % , respectively, compared to passive suspension, outperforming both PID and BWO-FOPID controllers.
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These authors also contributed equally to this work.
Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0323066