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Intelligent switching control of hybrid electromagnetic active suspension based on road identification

机译:基于道路识别的混合电磁活性悬架智能切换控制

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摘要

The hybrid electromagnetic actuator integrates a magnetorheological damper, and a linear motor can effectively reduce the energy consumption of linear electromagnetic active suspension by switching the control parameters with the same dynamic performances. Thus, the intelligent switching control of hybrid electromagnetic active suspension (HEMAS) is investigated with a fast-slow switching method for full road conditions for the first time, which uses the road level and system state variables as the switching rules. First, the intelligent switching control system architecture of HEMAS is designed, and the switching logic is refined. Then, the modified skyhook control strategy is adopted, and the control parameters (including overfull and transient objective control parameters) are optimized for different driving conditions. Then, the simultaneous estimation method of road profile and system state variables and the identification method of road level are studied. The identification result is used as a prerequisite for intelligent switching of system control parameters. Last, a road adaptive intelligent switching control system is designed, and the stability of the switching system is analyzed. Furthermore, a hardware-in-the-loop bench test is performed. The test results verify the effectiveness of the intelligent switching control system in improving the comprehensive performances (dynamic and energy-saving performances) of HEMAS.
机译:混合电磁致动器通过与相同动态性能的控制参数切换控制参数可以有效地降低线性电磁有效悬浮液的能量消耗的线性电动机。因此,通过快速慢速切换方法对第一次进行全道路条件的快速慢速切换方法来研究混合电磁有源悬架(HEMAS)的智能切换控制,该方法使用道路级别和系统状态变量作为交换规则。首先,设计了HEMAS的智能切换控制系统架构,并精制了切换逻辑。然后,采用修改的Skyhook控制策略,并且对不同的驾驶条件优化了控制参数(包括过度的目标控制参数)。然后,研究了道路轮廓和系统状态变量的同时估计方法和道路水平识别方法。识别结果用作系统控制参数的智能切换的先决条件。最后,设计了一种道路自适应智能切换控制系统,分析了开关系统的稳定性。此外,执行硬件in-in-in-in-ledchch测试。测试结果验证了智能交换控制系统在提高HEMAS的综合性能(动态节能性能)方面的有效性。

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