发动机半主动悬置模糊控制策略及AMESim仿真研究

发布时间：2018-01-05 17:09

本文关键词：发动机半主动悬置模糊控制策略及AMESim仿真研究　出处：《长安大学》2016年硕士论文　论文类型：学位论文

【摘要】：发动机是汽车的动力源,也是汽车主要的噪声源与振动源,对汽车的乘坐舒适性有较大的影响。悬置是发动机与车架(车身)之间用以对发动机进行支承,并减少振动向车架(车身)传递的装置,它由刚度元件和阻尼元件组成。传统的被动悬置其刚度和阻尼值保持不变,无法满足发动机多工况的隔振要求,而主动悬置耗能大、成本高、结构复杂。因此,性能优良的半主动悬置受到了众多研究者的重视。半主动悬置由刚度元件和可调阻尼元件组成,它通过调节阻尼值,满足发动机在不同工况的隔振要求。本论文以发动机半主动悬置为对象,研究基于模糊控制的半主动悬置控制策略,并采用粒子群优化算法对模糊控制器参数进行优化。本论文研究内容包括:(1)分析了单缸发动机活塞—连杆—曲轴机构在运动过程中的受力情况,研究了单缸发动机工作时的主要激励力和力矩。在此基础上,推导了四缸直列发动机振动的主要激励力和力矩,得出四缸发动机激励力主要为二阶不平衡往复惯性力的结论。(2)建立了基于被动悬置和半主动悬置的发动机动力学模型,给出了系统运动微分方程。介绍了多学科复杂系统建模与仿真软件AMESim,说明了该软件主要模块的功能。利用AMESim软件建立了基于半主动悬置的发动机模型。(3)研究了模糊控基础理论,设计了发动机半主动悬置模糊控制器。利用AMESim和Simulink对采用模糊控制的发动机半主动悬置的隔振性能进行了联合仿真分析,结果表明模糊控制半主动悬置能够有效地减小发动机振动向车架的传递率。(4)研究了粒子群优化算法,采用该算法优化了模糊控制器量化因子和比例因子。对采用优化的模糊控制器和未优化模糊控制器的发动机半主动悬置隔振性能进行了仿真研究,结果表明粒子群算法可以改善模糊控制器的性能,提高半主动悬置的隔振性能。
[Abstract]:The engine is the power source of the automobile, the car is the main noise source and vibration source, has great influence on riding comfort. Mount is the engine and the frame (body) between the support on the engine, and reduce vibration to the frame (body) transmission device, which is composed of stiffness components and damping elements. The traditional passive suspension stiffness and damping values remain unchanged, unable to meet the vibration condition of the engine, and the active suspension of high energy consumption, high cost and complicated structure. Therefore, the excellent performance of the semi-active suspension is paid more attention by many researchers. The semi active suspension by stiffness element and the adjustable damping components, which by adjusting the damping value of engine vibration isolation in meet the requirements of different working conditions. The engine semi-active suspension as the object, the research of fuzzy control of semi active suspension control strategy based on the particle swarm, and Optimization of fuzzy controller parameters optimization algorithm. The content of this paper includes: (1) analysis of single cylinder engine piston rod crank mechanism during exercise stress, the main excitation force and torque of single cylinder engine at work. On this basis, we derive four cylinder in-line engine vibration is mainly excitation force and torque, the four cylinder engine excitation force is mainly two order unbalanced reciprocating inertia force conclusion. (2) established the engine dynamic model of passive suspension and semi-active suspension system based on the differential equations of motion are given. The complex system modeling and simulation software AMESim, illustrates the main the module function of the software. The model of the engine semi-active suspension based on AMESim software. (3) studied the fuzzy control theory, the design of the engine semi-active suspension fuzzy controller. The vibration isolation performance of fuzzy control is adopted for AMESim and Simulink engine semi-active suspension were combined with simulation analysis, the results show that the fuzzy control of semi active suspension can effectively reduce the vibration of the engine to the frame transfer rate. (4) research of particle swarm optimization algorithm, using the algorithm to optimize the fuzzy controller quantization factor and the scaling factor. The optimized fuzzy controller and fuzzy controller optimization engine semi-active suspension performance was simulated. The results show that the performance of particle swarm algorithm can improve the fuzzy controller, improve the isolation performance of the semi-active suspension.

【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U464.13

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