Multiple Performance Indicators Control Algorithm of Vehicle Adaptive Cruise System
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摘要: 针对汽车自适应巡航控制系统的多性能指标不协调及不完善的问题,综合考虑汽车的多性能指标和汽车自身的驱动和制动能力,提出一种基于模型预测控制和最优控制的汽车自适应巡航控制算法。根据本车与前车之间的相互纵向运动学特性,建立离散状态空间表达式,引入饱和函数,并以输出变量的加权平方和作为协调多性能指标的目标函数,最后将目标函数的求解问题转化为一维极值问题进行求解。仿真结果验证了算法对安全车距保持的有效性和协调多性能指标的可行性。Abstract: In order to solve the problem that multiple performance indicators of adaptive cruise control (ACC) system are uncoordinated and imperfect, a ACC algorithm based on model predictive control and optimal control is proposed by considering the performance indicators and the driving and braking abilities of vehicle. According to longitudinal kinematic characteristics between the host vehicle and the vehicle in front, the discrete system state space expression is established and a saturated function is introduced. The weighted sum of squares of the output variables is defined as the objective function for the coordinate multiple performance indicators. Finally, the problem of solving the objective function is transformed into a one-dimensional extremum problem. The simulation results verify the effectiveness of the proposed algorithms in safe inter-vehicle distance maintenance and the feasibility of coordinating multi-performance indicators.
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