履带式装甲车辆纵向速度控制  被引量:2

Research on Longitudinal Speed Control of Tracked Armored Vehicle

在线阅读下载全文

作  者:刘文学 叶艾 周亮 王涛 LIU Wen-xue;YE Ai;ZHOU Liang;WANG Tao(Department of Mechanical Engineering,PLA Army Academy of Artillery and Air Defense,Hefei 230031,China;Equipment Project Management Center of the Army Equipment Department,Beijing 100072,China)

机构地区:[1]陆军炮兵防空兵学院机械工程系,合肥230031 [2]陆军装备部装备项目管理中心,北京100072

出  处:《科学技术与工程》2020年第17期6938-6943,共6页Science Technology and Engineering

基  金:“十三五”装备预研项目(30106020105)。

摘  要:履带式装甲车辆的动力学系统具有强烈非线性、不确定性的特点,为解决直线行驶工况下的速度控制问题,结合驾驶员驾驶操纵经验,提出一种自适应性强的变论域分相模糊比例-积分-微分(proportion-integral-derivative,PID)控制方法,实现了对期望车速的有效跟随。首先建立包含发动机、传动系及制动系的装甲车辆纵向动力学模型,然后利用模糊算法在线整定PID控制器参数,并采用变论域分相设计进一步提高控制器的自适应能力。仿真实验结果表明,提出的控制方法与传统PID及模糊PID相比,车速跟随控制精度与快速收敛性都有了提高,尤其能够有效解决驱动/制动切换时整车运动状态改变导致的控制效果大幅度下降问题。The dynamic system of tracked armored vehicle has strong nonlinearity and uncertainty.In order to solve the problem of speed control under direct driving conditions,combined with the driver s operating experience,a self-adaptive variable universe fuzzy proportion-integral-derivative(PID)control method based on split-phase was proposed.And speed tracking was achieved effectively.Firstly,the longitudinal dynamics model of armored vehicle including the engine,the transmission system and the brake system was established.Then the fuzzy algorithm was used to adjust parameters of the PID controller online,and the design of variable universe based on split-phase was adopted to further improve the adaptive ability of the controller.The simulation results show that compared with the traditional PID and fuzzy PID,the proposed control method has improved the accuracy and rapid convergence of speed control,especially the poor control effect caused by the change of the vehicle s motion state during the drive/brake switching.

关 键 词:车辆动力学 速度控制 变论域模糊比例-积分-微分(PID) 分相 

分 类 号:TP249[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象