2022
DOI: 10.1007/978-981-19-1968-8_21
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Optimizing the Parameter of the LQR Controller for Active Suspension System

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Cited by 3 publications
(3 citation statements)
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“…The novelty of the proposed control law relies on harnessing prominent features of both controllers; PID and SMC. Moreover, in contrast to most of the reported studies for example, References 23, 4042, which used a single loop algorithm to determine the optimal values of the controller parameters, the present study introduces a novel double-loop method to estimate the required parameters more accurately.…”
Section: Introductionmentioning
confidence: 91%
“…The novelty of the proposed control law relies on harnessing prominent features of both controllers; PID and SMC. Moreover, in contrast to most of the reported studies for example, References 23, 4042, which used a single loop algorithm to determine the optimal values of the controller parameters, the present study introduces a novel double-loop method to estimate the required parameters more accurately.…”
Section: Introductionmentioning
confidence: 91%
“…For cyclic oscillations, the values of displacement and acceleration are about 25.25% and 32.47%, respectively. For random oscillators, values of displacement and acceleration are about 43.37% and 73.23% respectively [71]. Kumar and Vijayarangan developed an active suspension for a passenger car in a quarter-car model using the conventional method (CM) and acceleration-dependent method (ADM).…”
Section: Linear Quadratic Regulator Control Systemmentioning
confidence: 99%
“…where K r is the motor torque constant, i r is its winding 260 current, and c em,θ is a rotary electromagnetic damping co-261 efficient. Note that T r follows the active sign convention and 262 can be determined by a specific control strategy, such as sky-263 hook / ground-hook [23], linear quadratic regulator (LQR) 264 [24] or H ∞ [25]. In this work, to simplify the analysis, T r with inertial (J eq ) and viscous damping (c eq,θ ) contributions.…”
mentioning
confidence: 99%