A new control strategy with networked event-triggered force domain controller and valve opening predictive management local controller is proposed for nonlinear hysteretic leaf spring suspension system with asymmetric cylinder hydraulic actuator over actuated by multiple servo-valves. Takagi–Sugeno fuzzy approach is employed to describe this uncertainty system with experimentally evaluated nonlinear hysteretic leaf spring under consideration of asynchronous premises and transmission delays in a unified framework. For the derived nonlinear network control system, event-triggered domain controller is proposed to generate target force with linear matrix inequality approach based on Lyapunov asymptotically stability theory. The target force is tracked by hydraulic actuator with over actuated multiple servo-valves. These servo-valve openings are collaboratively regulated by predictive management local controller via solving constrained optimal nonlinear control problem. Finally, numerical simulation results are provided to verify the effectiveness and benefits of the proposed control strategy. Compared to passive and time-triggered sampled data control, the obtained results indicate that the sprung mass acceleration and suspension working space are greatly improved without sacrificing tire dynamic load. The valve opening predictive management for over actuated hydraulic actuator is successfully achieved, and simultaneously both the communication resource and actuator power consumption are significantly saved with adaptive event-triggered control strategy.

针对具有多个伺服阀驱动的非对称气缸液压执行器的非线性滞后片簧悬架系统，提出了一种基于网络事件触发力域控制器和阀开度预测管理局部控制器的控制策略。Takagi–Sugeno模糊方法用于描述这种不确定性系统，并在统一框架中考虑了异步前提和传输延迟，并通过实验评估了非线性滞后片簧。对于导出的非线性网络控制系统，提出了基于Lyapunov渐近稳定理论的事件触发域控制器，采用线性矩阵不等式方法生成目标力。液压执行器通过多个伺服阀来跟踪目标力。这些伺服阀的开度由预测管理本地控制器通过解决约束最优非线性控制问题来共同调节。最后，提供了数值仿真结果以验证所提出的控制策略的有效性和益处。与被动和时间触发的采样数据控制相比，所获得的结果表明，在不牺牲轮胎动载荷的情况下，极大地改善了簧载质量加速度和悬架工作空间。成功实现了对超液压执行器的开度预测管理，同时通过自适应事件触发的控制策略可以显着节省通信资源和执行器功耗。