Two-acceleration-error-input proportional-integral-derivative control for vehicle active suspension
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Abstract
The objective of this work is to present a new two-acceleration-error-input (TAEI) proportional-integral-derivative (Pill) control strategy for active suspension. The novel strategy lies in the use of sprung mass acceleration and unsprung mass acceleration signals simultaneously, which are easily measured and obtained in engineering practice. Using a quarter-car model as an example, a TAEI Pill controller for active suspension is established and its control parameters are optimized based on the genetic algorithm (GA), in which the fitness function is a suspension quadratic performance index. Comparative simulation shows that the proposed TAEI Pill controller can achieve better comprehensive performance, stability, and robustness than a conventional single-acceleration-error-input (SAEI) Pill controller for the active suspension.
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