Design of a direct current controller for magnetorheological semi-active suspensions with nonlinear constraints

Xiaotian Shi, He Li, Ke Fu
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Abstract

In the application of magnetorheological (MR) semi-active suspensions, the target damping force calculated using the controller must be realised by an MR damper. This requires the target damping force first to be converted into a corresponding drive current. However, owing to the nonlinearity of MR dampers, the drive current based on the target damping force cannot be accurately tracked, which could worsen the control performance. To avoid this situation, this study proposed a gain scheduling control method based on a linear parameter-varying (LPV) model of MR semi-active suspensions. First, based on the nonlinear model of MR semi-active suspension, an LPV model with constraints used as varying parameters was established using convex decomposition. Then, an LPV controller was designed with a convex polytope structure using the linear matrix inequality technique. A system with this controller can achieve H∞ performance. The simulation results showed that the drive current directly obtained with the LPV controller can better utilise the effective region of the MR damper. Consequently, this controller yields smoother current control quantities and lower computational costs while guaranteeing the performance.
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为具有非线性约束的磁流变半主动悬架设计直流控制器
在磁流变(MR)半主动悬挂系统的应用中,使用控制器计算出的目标阻尼力必须由磁流变阻尼器来实现。这就要求首先将目标阻尼力转换为相应的驱动电流。然而,由于 MR 阻尼器的非线性,基于目标阻尼力的驱动电流无法精确跟踪,这可能会降低控制性能。为了避免这种情况,本研究提出了一种基于 MR 半主动悬架线性参数变化(LPV)模型的增益调度控制方法。首先,基于 MR 半主动悬架的非线性模型,利用凸分解建立了一个带约束条件的 LPV 模型。然后,利用线性矩阵不等式技术设计了一个具有凸多胞结构的 LPV 控制器。使用该控制器的系统可以达到 H∞ 性能。仿真结果表明,利用 LPV 控制器直接获得的驱动电流能更好地利用磁共振阻尼器的有效区域。因此,该控制器在保证性能的同时,能获得更平滑的电流控制量和更低的计算成本。
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