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Designing a Switched Takagi-Sugeno Fuzzy controller for CDC semi-active suspensions with current input constraint
Mechanical Systems and Signal Processing ( IF 8.4 ) Pub Date : 2023-06-01 , DOI: 10.1016/j.ymssp.2023.110450
Yuan Qing, Zhou Hongliang, Chen Songlin, Miao Weiwei, Jiang Yongfeng

To prevent the degradation of control performance resulting from the use of the clipped approach, this paper presents a novel control strategy for CDC (continuous damping control) semi-active suspensions using the Takagi-Sugeno (T-S) fuzzy method based on a piecewise affine (PWA) vertical dynamics model. First, to account for the significant tension-compression asymmetry and dissipative constraint of CDC damper force, a piecewise damping-force model is developed with current serving as input. Due to the nonlinear terms, T-S fuzzy system is then utilized to describe the suspension system via the sector nonlinearity approach. Finally, a fuzzy state feedback controller considering the asymmetry saturation of the control current is designed for the obtained switched T–S fuzzy model with optimized H∞ performance for suspension system by using the parallel distributed compensation (PDC) scheme. Simulation and experimental results under sinusoidal, random and transient excitations show significant improvements of the proposed approach on ride comfort and road handling while guaranteeing the performance under the input current constraint.



中文翻译:

为具有电流输入约束的 CDC 半主动悬架设计开关式 Takagi-Sugeno 模糊控制器

为了防止使用截断方法导致控制性能下降,本文提出了一种新的 CDC(连续阻尼控制)半主动悬架控制策略,使用基于分段仿射的 Takagi-Sugeno (TS) 模糊方法 ( PWA)垂直动力学模型。首先,为了解决 CDC 阻尼力的显着拉伸-压缩不对称性和耗散约束,开发了以电流作为输入的分段阻尼力模型。由于存在非线性项,因此使用 TS 模糊系统通过扇形非线性方法来描述悬架系统。最后,考虑到控制电流的不对称饱和的模糊状态反馈控制器被设计用于获得的切换 T-S 模糊模型具有优化的 H∞ 性能的悬架系统通过使用并行分布式补偿 (PDC) 方案。正弦、随机和瞬态激励下的仿真和实验结果表明,在保证输入电流约束下的性能的同时,所提出的方法在乘坐舒适性和道路操控性方面有了显着改善。

更新日期:2023-06-02
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