Double cost function linear quadratic regulator (DLQR) is developed from LQR theory to solve an optimal control problem with a general nonlinear cost function. In addition to the traditional LQ cost function, anothe...Double cost function linear quadratic regulator (DLQR) is developed from LQR theory to solve an optimal control problem with a general nonlinear cost function. In addition to the traditional LQ cost function, another free form cost function was introduced to express the physical need plainly and optimize weights of LQ cost function using the search algorithms. As an instance, DLQR was applied in determining the control input in the front steering angle compensation control (FSAC) model for heavy duty vehicles. The brief simulations show that DLQR is powerful enough to specify the engineering requirements correctly and balance many factors effectively. The concept and applicable field of LQR are expanded by DLQR to optimize the system with a free form cost function.展开更多
文章考虑了三向叉车在装载货物运行的情况下,其货叉带动货物旋转引起整车的合成重心变化,进而提出一种考虑货物旋转情况的叉车横向稳定性模型。针对三向叉车的合成重心变化导致其横向稳定性不足的问题,首先在该文建立的叉车模型基础上...文章考虑了三向叉车在装载货物运行的情况下,其货叉带动货物旋转引起整车的合成重心变化,进而提出一种考虑货物旋转情况的叉车横向稳定性模型。针对三向叉车的合成重心变化导致其横向稳定性不足的问题,首先在该文建立的叉车模型基础上运用线性二次型调节器(linear quadratic regulator,LQR)最优控制法,提出一种基于天牛须搜索的粒子群算法(particle swarm optimization based on beetle antennae search,BAS-PSO)来优化LQR状态矩阵加权系数的方法,进而设计LQR转向控制器;然后基于BAS-PSO优化的LQR转向控制器实现对理想横摆角速度和理想质心侧偏角的快速跟随;最后在双移线换道工况下进行仿真分析,验证了上述控制策略能有效抑制质心侧偏角的偏移,更好地实时跟踪理想横摆角速度,三向叉车在其货叉装载货物进行旋转操作时的横向稳定性得到了明显改善。展开更多
文摘Double cost function linear quadratic regulator (DLQR) is developed from LQR theory to solve an optimal control problem with a general nonlinear cost function. In addition to the traditional LQ cost function, another free form cost function was introduced to express the physical need plainly and optimize weights of LQ cost function using the search algorithms. As an instance, DLQR was applied in determining the control input in the front steering angle compensation control (FSAC) model for heavy duty vehicles. The brief simulations show that DLQR is powerful enough to specify the engineering requirements correctly and balance many factors effectively. The concept and applicable field of LQR are expanded by DLQR to optimize the system with a free form cost function.
文摘文章考虑了三向叉车在装载货物运行的情况下,其货叉带动货物旋转引起整车的合成重心变化,进而提出一种考虑货物旋转情况的叉车横向稳定性模型。针对三向叉车的合成重心变化导致其横向稳定性不足的问题,首先在该文建立的叉车模型基础上运用线性二次型调节器(linear quadratic regulator,LQR)最优控制法,提出一种基于天牛须搜索的粒子群算法(particle swarm optimization based on beetle antennae search,BAS-PSO)来优化LQR状态矩阵加权系数的方法,进而设计LQR转向控制器;然后基于BAS-PSO优化的LQR转向控制器实现对理想横摆角速度和理想质心侧偏角的快速跟随;最后在双移线换道工况下进行仿真分析,验证了上述控制策略能有效抑制质心侧偏角的偏移,更好地实时跟踪理想横摆角速度,三向叉车在其货叉装载货物进行旋转操作时的横向稳定性得到了明显改善。
