电动客车电动助力转向回正控制策略

以增强电动客车电动助力转向系统(EPS)的回正性能为目标,提出了模糊自整定PID回正控制策略.以转向盘转角传感器和转向盘转速传感器获取的转角和转速信号为控制信号,采用模糊自整定PID方法进行回正控制,输出回正控制电压,使助力电机将转向盘迅速带到中位.综合模糊控制和PID控制的双重优点,设计了模糊PID控制器,根据所设计的模糊规则在线修正PID控制器的参数,使控制器在不同工况下达到较好的控制效果,提高了EPS系统的回正性能.仿真试验和实车试验结果表明:模糊PID控制策略能够有效改善车辆在低速时的回正不足,抑制了车辆在高速时的回正超调现象,使转向盘能够迅速回到中位,保证驾驶员的手感没有受到不良影响.

力与位移耦合控制的主动转向系统协同优化

设计一种力与位移耦合控制的前轮主动转向(Active front steering,AFS)系统,使其同时具有主动转向和电动助力转向功能,不仅实现汽车转向轻便性和转向路感的完美融合,而且实现汽车安全性与灵活性的协调统一,是一种理想的汽车动力转向技术。建立新型AFS系统和整车3自由度动力学模型,提出新型AFS系统的性能指标及量化公式,应用协同优化方法,考虑人机工程学、汽车安全性和转向经济性三个子系统,以转向路感为系统级优化目标,对新型AFS系统参数进行协同优化设计。仿真结果表明,基于协同优化的新型AFS系统可在保证系统具有较好的转向稳定性、转向灵敏度和转向能耗基础上,有效提高系统的转向路感,为新型AFS系统的设计和优化提供理论基础。

拼焊板零件变压边力鲁棒控制策略研究

针对拼焊板零件冲压成形过程中恒压边力方法的不足,提出基于混合H2/H∞理论的变压边力控制方法,建立了变压边力混合H2/H∞控制模型,设计了变压边力混合H2/H∞控制算法和控制逻辑。采用该模型对拼焊板零件冲压成形进行反馈数值模拟,分析有无变压边力混合H2/H∞控制对拼焊板零件成形缺陷的影响,并在变压边力冲压机上进行试验验证。仿真和试验结果表明:基于混合H2/H∞理论的变压边力控制方法可成功冲压出车身前围上盖板,可有效避免恒压边力下的起皱和破裂两种缺陷,该控制方法同时考虑冲压行程和压边板位置进行压边力优化,具有更好的鲁棒性。

PARAMETER OPTIMIZATION OF ELECTRIC POWER STEERING INTEGRATED WITH ACTIVE FRONT STEERING FUNCTION

The dynanaic model of a novel electric power steering（EPS） system integrated with active front steer- ing function and the three-freedom steering model are built. Based on these models, the concepts and the quanti- tative expressions of road feel, sensitivity, and operation stability of the steering are introduced. Then, according to constrained optimization features of multi-variable function, a genetic algorithm is designed. Making the road feel of the steering as optimization objective, and operation stability and sensitivity of the steering as constraints, the system parameters are optimized by the genetic and the coordinate rotation algorithms. Simulation results show that the optimization of the novel EPS system by the genetic algorithm can effectively improve the road feel, thus providing a theoretical basis for the design and optimization of the novel EPS system.

Multi-objective optimization of active steering system with force and displacement coupled control

A novel active steering system with force and displacement coupled control(the novel AFS system) was introduced,which has functions of both the active steering and electric power steering.Based on the model of the novel AFS system and the vehicle three-degree of freedom system,the concept and quantitative formulas of the novel AFS system steering performance were proposed.The steering road feel and steering portability were set as the optimizing targets with the steering stability and steering portability as the constraint conditions.According to the features of constrained optimization of multi-variable function,a multi-variable genetic algorithm for the system parameter optimization was designed.The simulation results show that based on parametric optimization of the multi-objective genetic algorithm,the novel AFS system can improve the steering road feel,steering portability and steering stability,thus the optimization method can provide a theoretical basis for the design and optimization of the novel AFS system.

基于质量工程的电动轮汽车差速转向集成优化方法初探

建立电动轮汽车差速转向和整车三自由度动力学模型,提出电动轮汽车差速转向系统转向路感、转向灵敏度、转向稳定性的概念及量化公式,集成蒙特卡罗仿真的描述取样、带精英解的非劣前沿分级遗传算法和Taguchi鲁棒性设计方法,以转向路感和转向灵敏度为优化目标、转向灵敏度和转向稳定性为约束条件,对电动轮汽车差速转向系统参数进行集成优化设计.仿真结果表明:基于质量工程集成优化的电动轮汽车差速转向系统可在保证系统具有较好的转向稳定性、转向灵敏度基础上,有效提高系统的转向路感和转向灵敏度,为电动轮汽车差速转向系统的设计和优化提供理论基础.