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The objective of this work is to present a new two-acceleration-error-input(TAEI) proportional-integral-derivative(PID) control strategy for active suspension.The novel strategy lies in the use of sprang 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 PID 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 PID controller can achieve better comprehensive performance,stability,and robustness than a conventional single-acceleration-error-input(SAEI) PID controller for the active suspension.
The objective of this work is to present a new two-acceleration-error-input (TAEI) proportional-integral-derivative (PID) control strategy for active suspension. The novel strategy lies in the use of sprang 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 PID 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 PID controller can achieve better overall performance, stability, and robustness than a conventional single-acceleration-error-input (SAEI) PID controller for the active suspension.