双舵轮自动导引车轨迹追踪控制算法  

Trajectory Tracking Control Algorithm for Double-steering Automated Guided Vehicle

作　　者：齐嘉晖 吴耀华[1] 汪威 QI Jia-hui;WU Yao-hua;WANG Wei(School of Control Science&Engineering,Shandong University,Jinan 250061,China)

机构地区：[1]山东大学控制科学与工程学院,济南250061

出　　处：《科学技术与工程》2020年第20期8252-8260,共9页Science Technology and Engineering

摘　　要：为提高双舵轮自动导引车(automated guided vehicle, AGV)轨迹跟踪控制性能,设计了基于模型预测控制的轨迹跟踪控制器。以双舵轮自动导引车为研究对象,首先建立自动导引车运动学模型,求得车体转弯半径,并重点分析双舵轮自动导引车转向优势;然后,对双舵轮导引车建立了基于模型预测控制的轨迹跟踪模型,并考虑车体运动性能指标及各类约束,最后通过仿真实验验证了模型预测控制算法用于双舵轮自动导引车的可行性,且分析了控制时域权重和预测时域长度两项模型参数对系统性能的影响;与基于比例-积分-微分轨迹跟踪控制器的自动导引车进行轨迹跟踪对比仿真实验。最终实验表明,采用该模型预测控制器可以满足各类约束条件,高效精准完成对连续大曲率目标路径的有效跟踪,同时具有较高的实时性和鲁棒性。In order to improve the trajectory tracking performance of double-steering automated guided vehicle(AGV), a trajectory tracking controller based on model predictive control was designed. Taking the double-steering automatic guided vehicle as the research object, the kinematics model of the automatic guided vehicle was established firstly to obtain the turning radius and to analyze the advantages of the double-steering automated guided vehicle while turning. Then, taking the vehicle performance parameters and various constraints into consideration, a trajectory tracking model based on model predictive control was established. Finally, the simulation experiment validated that the model predictive control algorithm could be applied to double-steering automated guided vehicle, and the influence of control time domain weight and predicting time domain length on system performance were analyzed. Besides, the comparison simulation experiment of trajectory tracking was carried out with the automatic guided vehicle based on the proportional-integral-differential trajectory tracking controller. The final experiment result shows that the model predictive controller can meet various constraints. It can track the target path with continuous large curvature more efficiently and accurately with high robustness and real-time property.

关 键 词：自动导引车 双舵轮 轨迹跟踪 模型预测控制 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]