The flow chart of the MSIBWO algorithm.

The flow chart of the MSIBWO algorithm.

<div><p>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...

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Bibliographic Details
Main Author: Qinghe Guo (21519322) (author)
Other Authors: Mengchao Wang (3705511) (author), Renjun Liu (10319843) (author), Yurong Chen (9295328) (author), Shenghuai Wang (21519325) (author), Hongxia Wang (241142) (author)
Published: 2025
Subjects:
Biochemistry
Cell Biology
Neuroscience
Physiology
Biotechnology
Cancer
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
vehicle body ’
random road excitation
electrohydraulic servo actuator
addressing parameter uncertainty
pitch angle acceleration
active suspension based
div >< p
vertical acceleration
passive suspension
suboptimal performance
step input
sine inputs
simulink demonstrate
simulation results
rise time
higher precision
force tracking
car model
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