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双离器式自动变速器车辆的核心与难点是换挡过程离合器重叠控制。针对传统离合器控制系统难以适应系统的非线性和时变等特性,从而影响换挡过程离合器系统精确控制的问题,借鉴生物免疫反馈响应过程的调节作用和模糊逻辑推理的自适应性来实现离合器控制参数自整定,设计了基于模糊免疫PID的离合器控制策略。应用Simulink建立了双离合器式自动变速车辆换挡过程离合器接合数学模型和控制器仿真模型。仿真实验表明,基于模糊免疫算法的PID离合器控制器能更好地提高控制系统的精度和响应速度,并能适应离合器系统参数的变化,较好地提高了双离合器式自动变速器换挡过程的品质。
The key and difficulty of the dual-clutch automatic transmission vehicle is the clutch overlap control during the shift process. In view of the traditional clutch control system is difficult to adapt to the characteristics of the system such as nonlinear and time-varying, thus affecting the shift process of clutch control system accurately control, learn from the regulation of biological immune feedback response process and the fuzzy logic inference adaptability to achieve clutch control Parameter self-tuning, designed based on fuzzy immune PID clutch control strategy. Simulink is used to establish the mathematical model of clutch engagement and the simulation model of controller for the shift process of dual clutch automatic transmission. Simulation results show that the PID clutch controller based on fuzzy immune algorithm can better improve the precision and response speed of the control system and adapt to the change of the clutch system parameters and improve the quality of the shift process of the dual clutch automatic transmission .