Abstract
As the road conditions are completely unknown in the design of a suspension controller, an improved linear quadratic and Gaussian distributed (LQG) controller is proposed for active suspension system without considering road input signals. The main purpose is to optimize the vehicle body acceleration, pitching angular acceleration, displacement of suspension system, and tire dynamic deflection comprehensively. Meanwhile, it will extend the applicability of the LQG controller. Firstly, the half-vehicle and road input mathematical models of an active suspension system are established, with the weight coefficients of each evaluating indicator optimized by using genetic algorithm (GA). Then, a simulation model is built in Matlab/Simulink environment. Finally, a comparison of simulation is conducted to illustrate that the proposed LQG controller can obtain the better comprehensive performance of vehicle suspension system and improve riding comfort and handling safety compared to the conventional one.
Highlights
It is well known that vehicle suspension system plays a great role in evaluating vehicle dynamics performances including ride comfort, road handling, and suspension deflection
In [17], the methodology of analytic hierarchy process (AHP) was used to determine the weight coefficients of performance indexes, which could enhance the effectiveness and accuracy for the design of linear quadratic and Gaussian distributed (LQG) controller based on optimal control theory
The authors in [18] proposed an optimal design method of active suspension based on LQG control without road input signal, the selection of the weight coefficients was only used in quarter vehicle model, which may lead to the limitations to the practicality of the controller
Summary
It is well known that vehicle suspension system plays a great role in evaluating vehicle dynamics performances including ride comfort, road handling, and suspension deflection. In [17], the methodology of analytic hierarchy process (AHP) was used to determine the weight coefficients of performance indexes, which could enhance the effectiveness and accuracy for the design of LQG controller based on optimal control theory. The authors in [18] proposed an optimal design method of active suspension based on LQG control without road input signal, the selection of the weight coefficients was only used in quarter vehicle model, which may lead to the limitations to the practicality of the controller. The partial state variable feedback technique is applied to develop an improved LQG controller for active suspension systems, in which the road input signals are ignored, whereby making it possible for extending the application area of LQG controller. The comparisons of simulation analysis are addressed to verify the effectiveness and feasibility of the proposed LQG controller
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