Abstract
With the further development of the automotive industry, the traditional vibration isolation method is difficult to meet the requirements for wide frequency bands under multiple operating conditions, the active control mount (ACM) is gradually paid attentions, and the control algorithm plays a decisive role. In this paper, the ACM with oscillating coil actuator (OCA) is taken as the object, and the comparative study of the control algorithms is performed to select the optimal one for ACM. Through the modelling of ACM, the design of controller and the system simulations, the force transmission rate is used to compare the vibration isolation performance of the nine control algorithms, which are least mean square (LMS) adaptive feedforward control, recursive least square (RLS) adaptive feedforward control, filtered reference signal LMS (FxLMS) adaptive control, linear quadratic regulator (LQR) optimal control, H2 control, H∞ control, proportional integral derivative (PID) feedback control, fuzzy control and fuzzy PID control. In summary, the FxLMS adaptive control algorithm has the better performance and the advantage of easier hardware implementation, and it can apply in ACMs.
Highlights
(FxLMS) adaptive control, linear quadratic regulator (LQR) optimal control, H2 control, H∞ control, proportional integral derivative (PID) feedback control, fuzzy control and fuzzy PID control, are used to simulate the system and analyse their vibration isolation performance, and an optimal control algorithm can be selected for active control mount (ACM)
The least mean square (LMS) algorithm is based on the method of steepest descent, which is a stochastic implementation of the steepest descent method
The results show that the effectiveness of above control algorithms
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The significant increase in engine power density, the adoption of variable displacement engine (VDE) for improving fuel economy, and new requirements to further improve dynamic comfort, traditional passive mount cannot meet the increasingly stringent requirements of vibration isolation. In this way, semiactive control mounts are gradually receiving attention from the automotive industry researchers. In this paper, based on the ACM lumped parameter model (LPM), nine different control algorithms, including least mean-square (LMS) adaptive feedforward control, recursive least square (RLS) adaptive feedforward control, filtered reference signal LMS (FxLMS) adaptive control, linear quadratic regulator (LQR) optimal control, H2 control, H∞ control, proportional integral derivative (PID) feedback control, fuzzy control and fuzzy PID control, are used to simulate the system and analyse their vibration isolation performance, and an optimal control algorithm can be selected for ACM
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