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基于双层控制策略的四轮独立转向无人驾驶汽车路径跟踪

Path tracking of 4WIS autonomous vehicle based on double-layer control strategy

  • 摘要: 为提高四轮独立转向(four wheel independence steering, 4WIS)无人驾驶汽车在路径跟踪时的系统稳定性和跟踪精度,并改善轮胎磨损情况,提出了一种基于双层控制策略的路径跟踪控制算法.上层为基于Popov超稳定性理论的模型参考自适应路径跟踪控制器.基于二自由度单轨模型推导出路径跟踪误差状态方程,采用线性二次最优方法,解决了系统正向线性环节无法严格正实的问题.求解Popov积分不等式,保证了系统的超稳定性.在下层控制器中,基于阿克曼转向定理,设计了考虑轮胎侧偏的转角分配控制算法.在CarSim/Simulink联合仿真平台中进行仿真试验,结果表明:所设计的基于双层控制策略的路径跟踪控制算法能够高精度地完成路径跟踪任务,同时也保证了四轮独立转向无人驾驶汽车的行驶稳定性,轮胎的磨损情况也能得到改善.

     

    Abstract: To improve the system stability and tracking accuracy of the four-wheel independent steering(4 WIS) unmanned vehicle during path tracking and improve the tire wear, the path tracking control algorithm was proposed based on double-layer control strategy. The upper layer was a model reference adaptive path tracking controller based on Popov hyperstability theory. Based on the two-degree-of-freedom model, the path tracking error state equation was derived. The linear quadratic optimal method was used to solve the problem that the positive linear link of the system was not strictly positive reality. The Popov integral inequality was solved to ensure the hyperstability of system. In the lower layer controller, based on Ackermann steering theorem, the angle allocation control algorithm was designed with considering tire sideslip. The simulation experiment was carried out on the CarSim/Simulink co-simulation platform. The results show that the designed path tracking controller based on double-layer control strategy can realize the path tracking task with high precision and ensure the driving stability of 4 WIS unmanned vehicle to improve the tire wear.

     

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