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Robust Engine Speed Control Based on Nonlinear Takagi-Sugeno Fuzzy Systems with Time-delay

机译:基于非线性Takagi-Sugeno模糊系统的强大稳健发动机速度控制

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摘要

In this study, the engine speed control algorithm is developed. The system augmented method based on the local linearized dynamic internal combustion engine model is presented for design of feedback controller without steady-state error. For multi-operating points local linearization of engine model the Takagi-Sugeno (T-S) fuzzy models with time-delay are presented, and the stability conditions are derived using Lyapunov-Krasovskii approach. The stabilizing fuzzy state feedback controllers are presented for time-delay fuzzy systems with disturbance, and the property of robust H{sub}∞ disturbance attenuation is introduced. Finally, simulations attest to the properties of these methods.
机译:在该研究中,开发了发动机速度控制算法。基于局部线性化动态内燃机模型的系统增强方法用于反馈控制器的设计而没有稳态误差。对于发动机模型的多功能点,发动机模型线性化呈现了延迟时间延迟的Takagi-Sugeno(T-S)模糊模型,使用Lyapunov-Krasovskii方法导出稳定性条件。介绍了稳定的模糊状态反馈控制器,介绍了具有干扰的时滞模糊系统,介绍了鲁棒H {SUB}∞扰动衰减的性质。最后,仿真证明了这些方法的性质。

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