Car suspensions have the job to keep the tires in contact with the road surface as much as possible, to deliver steering stability with good handling and to guarantee passenger comfort. Most modern vehicles have independent front suspension and many vehicles also have independent rear suspension. Independent suspensions are preferred instead of dependent suspensions for their better ride handling, stability, steering and comfort but they provide less overall strength and a complex design which increases the cost and maintenance expenses for such a suspension. For this reason, automotive engineers struggle to discover new suspension components or advanced control solutions. Taking a step forward in this direction, the paper presents in the beginning one of the well-known mathematical models of a quarter-car active suspension. The obtained model is then implemented in a MATLAB/Simulink simulation which compares multiple control solutions. The only feedback considered for each control algorithm is the measurement of the body acceleration. Among these investigated control algorithms is the adaptive harmonic control solution proposed by this paper. The controller generates a harmonic control signal with variable amplitude and frequency based on the body acceleration feedback. The comparison analysis shows that the proposed control solution demonstrates quite good potential, generating in some cases better results than the other control algorithms.

汽车悬架的工作是使轮胎尽可能地与路面接触，以提供良好的操纵稳定性并确保乘客舒适度。大多数现代车辆具有独立的前悬架，许多车辆也具有独立的后悬架。优选独立悬架而不是独立悬架，因为它们具有更好的行驶操纵性，稳定性，转向和舒适性，但是它们提供的整体强度较小，并且设计复杂，这增加了这种悬架的成本和维护费用。因此，汽车工程师努力寻找新的悬架组件或先进的控制解决方案。朝这个方向迈出了一步，本文从一开始就提出了一种四轮车主动悬架的著名数学模型。然后在比较多种控制解决方案的MATLAB / Simulink仿真中实现获得的模型。每个控制算法考虑的唯一反馈是对身体加速度的测量。在这些研究的控制算法中，本文提出了自适应谐波控制解决方案。控制器根据人体加速度反馈生成振幅和频率可变的谐波控制信号。比较分析表明，所提出的控制解决方案具有很好的潜力，在某些情况下比其他控制算法产生更好的结果。在这些研究的控制算法中，本文提出了自适应谐波控制解决方案。控制器根据人体加速度反馈生成振幅和频率可变的谐波控制信号。比较分析表明，所提出的控制解决方案具有很好的潜力，在某些情况下比其他控制算法产生更好的结果。在这些研究的控制算法中，本文提出了自适应谐波控制解决方案。控制器根据人体加速度反馈生成振幅和频率可变的谐波控制信号。比较分析表明，所提出的控制解决方案具有很好的潜力，在某些情况下比其他控制算法产生更好的结果。