采用滑模条件积分的无人驾驶汽车弯道超车路径规划与跟踪控制

针对无人驾驶汽车弯道超车场景,基于五次多项式曲线提出一种路径规划算法和基于滑模条件积分控制方法提出一种路径跟踪控制策略.首先,为了简化无人驾驶汽车弯道超车路径规划过程,将其分解成驶入超车道路径、保持超车道内行驶路径和驶回原车道路径3部分,并基于五次多项式曲线分别规划出满足汽车侧向加速度约束和动态障碍物避障约束的驶入超车道路径和驶回原车道路径,3部分路径平滑连接构成无人驾驶汽车弯道超车路径.随后,为了高精度的跟踪规划的路径,采用滑模条件积分控制方法设计具有强鲁棒性优点且无抖振的无人驾驶汽车路径跟踪控制策略,并采用李雅普诺夫稳定性理论证明其收敛性.最后,进行了算法的仿真验证,结果表明:所提出无人驾驶汽车路径规划算法和路径跟踪控制策略可以引导无人驾驶汽车安全、舒适的完成弯道超车操作,并且相对于斯坦利方法,具有更快的响应速度和更高的跟踪精度.

Path planning and tracking control for corner overtaking of driverless vehicle using sliding mode technique with conditional integrators

Aiming at the corner overtaking scene of driverless vehicle, a path planning algorithm is proposed based on quintic polynomial curve and a path tracking control strategy is proposed based on sliding mode technique with conditional integrators. Firstly, in order to simply the process of the corner overtaking path planning, it is divided into the first segment from the original lane to the overtaking lane, the second segment on the overtaking lane, and the third segment from the overtaking lane to the original lane, and then the first segment and the third segment meeting the constraints of the vehicle lateral acceleration and the dynamic obstacle avoidance are planned based on quintic polynomial curve. All the three segments are connected smoothly to construct the corner overtaking path. Then, in order to track the planned path with high precision, the path tracking control strategy with strong robustness and without chattering is designed based on sliding mode technique with conditional integrators, and its convergence is proved by Lyapunov stability theory. Finally, the algorithm is verified by simulation, and the results show that the proposed path planning algorithm and path tracking control strategy can guide the driverless vehicle to achieve the corner overtaking operation safely and comfortably, and have faster response speed and higher tracking accuracy than Stanley method.