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Response optimization and LQR based control for Quarter Car suspension with Seat-Driver model

机译:带座椅驱动器模型的四分之一车悬架的响应优化和基于LQR的控制

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The suspension system aims to provide ride comfort and ride quality. It insulates car frame from road disturbances and smoothen road shock. This paper presents Quarter Car suspension with Seat-Driver (QCSD) model, focuses on optimization of parameters and development of control algorithm. Active set algorithm is used to obtain optimal parameters for designing of vehicle suspension and seat suspension. Optimized model shows fewer vibrations with comparison of original system. Linear Quadratic Regulator (LQR) and Fuzzy Logic Controller (FLC) are applied to QCSD model to reduce vibrations at head, upper torso and sprung mass LQR based controller has better settling time than FLC for step input.
机译:悬架系统旨在提供乘坐舒适性和乘坐质量。它使车架免受道路干扰并减轻道路冲击。本文提出了具有座椅驱动器(QCSD)模型的四分之一汽车悬架,着重于参数的优化和控制算法的开发。主动集算法用于获得用于设计车辆悬架和座椅悬架的最佳参数。与原始系统相比,优化模型显示出更少的振动。将线性二次调节器(LQR)和模糊逻辑控制器(FLC)应用于QCSD模型,以减少头部,上躯干和簧上质量的振动。基于LQR的控制器的阶跃输入比FLC的稳定时间更长。

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