建立转向架参数测定试验台几何解析模型与运动学模型,提出一种基于类线性解耦几何解析法与高阶收敛迭代法相结合的混合策略求解并联机构位姿正解。利用类线性解耦几何解析法建立方程组快速求解位姿正解近似值且作为高阶收敛迭代法的初...建立转向架参数测定试验台几何解析模型与运动学模型,提出一种基于类线性解耦几何解析法与高阶收敛迭代法相结合的混合策略求解并联机构位姿正解。利用类线性解耦几何解析法建立方程组快速求解位姿正解近似值且作为高阶收敛迭代法的初值。以转向架参数测定试验台为例,基于方位特征集理论(Position and orientation characteristics,POC)对该冗余6-DOF机构进行拓扑结构特性分析和运动学结构分析求得位移传输比矩阵r,根据位移叠加性原理建立方程组求得正解初值,进而运用高阶迭代法求解位姿正解。选取圆形周期性轨迹作为该机构运动轨迹,仿真结果表明,几何解析法求得位姿正解误差值不超过0.8%,且混合策略相比Newton-Raphson法迭代次数减少41%,迭代时间缩短23%,满足了试验的实时性要求。试验台回转角刚度试验结果表明:运用装置测量的回转角度值较给定值误差小于0.041rad,而用提出方法计算回转角度值误差不超过0.019 rad,进一步验证混合策略的有效性与实时性。展开更多
Abstract-The conventional optimal tracking control method cannot realize decoupling control of linear systems with a strong coupling property. To solve this problem, in this paper, an optimal decoupling control method...Abstract-The conventional optimal tracking control method cannot realize decoupling control of linear systems with a strong coupling property. To solve this problem, in this paper, an optimal decoupling control method is proposed, which can simultaneousiy provide optimal performance. The optimal decoupling controller is composed of an inner-loop decoupling controller and an outer-loop optimal tracking controller. First, by introducing one virtual control variable, the original differential equation on state is converted to a generalized system on output. Then, by introducing the other virtual control variable, and viewing the coupling terms as the measurable disturbances, the generalized system is open-loop decoupled. Finally, for the decoupled system, the optimal tracking control method is used. It is proved that the decoupling control is optimal for a certain performance index. Simulations on a ball mill coal-pulverizing system are conducted. The results show the effectiveness and superiority of the proposed method as compared with the conventional optimal quadratic tracking （LQT） control method.展开更多
Electromagnetic formation flight （EMFF） leverages electromagnetic force to control the relative position of satellites. EMFF offers a promising alternative to traditional propellant-based spacecraft flight formation...Electromagnetic formation flight （EMFF） leverages electromagnetic force to control the relative position of satellites. EMFF offers a promising alternative to traditional propellant-based spacecraft flight formation. This novel strategy is very attractive since it does not consume fuel. Due to the highly coupled nonlinearity of electromagnetic force, it is difficult to individually design a controller for one satellite without considering others, which poses challenges to communications. This paper is devoted to decoupling control of EMFF, including regulations, constraints and con- troller design. A learning-based adaptive sliding mode decoupling controller is analyzed to illustrate the problem of existing results, and input rate saturation is introduced to guarantee the validity of frequency division technique. Through transformation, the imposed input rate saturation is con- verted to state and input constraints. A linear matrix inequalities （LMI）-based robust optimal con- trol method can then be used and improved to solve the transformed problem. Simulation results are presented to demonstrate the effectiveness of the proposed decoupling control.展开更多
This paper proposes a liner active disturbance rejection control(LADRC) method based on the Q-Learning algorithm of reinforcement learning(RL) to control the six-degree-of-freedom motion of an autonomous underwater ve...This paper proposes a liner active disturbance rejection control(LADRC) method based on the Q-Learning algorithm of reinforcement learning(RL) to control the six-degree-of-freedom motion of an autonomous underwater vehicle(AUV).The number of controllers is increased to realize AUV motion decoupling.At the same time, in order to avoid the oversize of the algorithm, combined with the controlled content, a simplified Q-learning algorithm is constructed to realize the parameter adaptation of the LADRC controller.Finally, through the simulation experiment of the controller with fixed parameters and the controller based on the Q-learning algorithm, the rationality of the simplified algorithm, the effectiveness of parameter adaptation, and the unique advantages of the LADRC controller are verified.展开更多
文摘建立转向架参数测定试验台几何解析模型与运动学模型,提出一种基于类线性解耦几何解析法与高阶收敛迭代法相结合的混合策略求解并联机构位姿正解。利用类线性解耦几何解析法建立方程组快速求解位姿正解近似值且作为高阶收敛迭代法的初值。以转向架参数测定试验台为例,基于方位特征集理论(Position and orientation characteristics,POC)对该冗余6-DOF机构进行拓扑结构特性分析和运动学结构分析求得位移传输比矩阵r,根据位移叠加性原理建立方程组求得正解初值,进而运用高阶迭代法求解位姿正解。选取圆形周期性轨迹作为该机构运动轨迹,仿真结果表明,几何解析法求得位姿正解误差值不超过0.8%,且混合策略相比Newton-Raphson法迭代次数减少41%,迭代时间缩短23%,满足了试验的实时性要求。试验台回转角刚度试验结果表明:运用装置测量的回转角度值较给定值误差小于0.041rad,而用提出方法计算回转角度值误差不超过0.019 rad,进一步验证混合策略的有效性与实时性。
基金supported by the National Natural Science Foundation of China(61573090)the Research Funds for the Central Universities(N130108001)
文摘Abstract-The conventional optimal tracking control method cannot realize decoupling control of linear systems with a strong coupling property. To solve this problem, in this paper, an optimal decoupling control method is proposed, which can simultaneousiy provide optimal performance. The optimal decoupling controller is composed of an inner-loop decoupling controller and an outer-loop optimal tracking controller. First, by introducing one virtual control variable, the original differential equation on state is converted to a generalized system on output. Then, by introducing the other virtual control variable, and viewing the coupling terms as the measurable disturbances, the generalized system is open-loop decoupled. Finally, for the decoupled system, the optimal tracking control method is used. It is proved that the decoupling control is optimal for a certain performance index. Simulations on a ball mill coal-pulverizing system are conducted. The results show the effectiveness and superiority of the proposed method as compared with the conventional optimal quadratic tracking （LQT） control method.
基金supported by the Innovative Team Program of the National Natural Science Foundation of China (No. 61021002)
文摘Electromagnetic formation flight （EMFF） leverages electromagnetic force to control the relative position of satellites. EMFF offers a promising alternative to traditional propellant-based spacecraft flight formation. This novel strategy is very attractive since it does not consume fuel. Due to the highly coupled nonlinearity of electromagnetic force, it is difficult to individually design a controller for one satellite without considering others, which poses challenges to communications. This paper is devoted to decoupling control of EMFF, including regulations, constraints and con- troller design. A learning-based adaptive sliding mode decoupling controller is analyzed to illustrate the problem of existing results, and input rate saturation is introduced to guarantee the validity of frequency division technique. Through transformation, the imposed input rate saturation is con- verted to state and input constraints. A linear matrix inequalities （LMI）-based robust optimal con- trol method can then be used and improved to solve the transformed problem. Simulation results are presented to demonstrate the effectiveness of the proposed decoupling control.
基金supported by the National Natural Science Foundation of China (6197317561973172)Tianjin Natural Science Foundation (19JCZDJC32800)。
文摘This paper proposes a liner active disturbance rejection control(LADRC) method based on the Q-Learning algorithm of reinforcement learning(RL) to control the six-degree-of-freedom motion of an autonomous underwater vehicle(AUV).The number of controllers is increased to realize AUV motion decoupling.At the same time, in order to avoid the oversize of the algorithm, combined with the controlled content, a simplified Q-learning algorithm is constructed to realize the parameter adaptation of the LADRC controller.Finally, through the simulation experiment of the controller with fixed parameters and the controller based on the Q-learning algorithm, the rationality of the simplified algorithm, the effectiveness of parameter adaptation, and the unique advantages of the LADRC controller are verified.
