针对爬楼轮椅前腿的位姿调节机构在工作时不能同时触地及受力失衡等问题,文中提出基于模糊比例-积分-微分(Proportional Integral Derivative, PID)的前腿同步位姿调节控制策略。首先,建立了前腿位姿调节机构驱动装置的数学模型。其次,...针对爬楼轮椅前腿的位姿调节机构在工作时不能同时触地及受力失衡等问题,文中提出基于模糊比例-积分-微分(Proportional Integral Derivative, PID)的前腿同步位姿调节控制策略。首先,建立了前腿位姿调节机构驱动装置的数学模型。其次,根据爬楼轮椅工作要求设定合适的阈值,通过偏差大小来选用最优的控制算法,建立了基于模糊控制策略与模糊自适应PID控制策略。最后,结合模糊PID复合控制模型,实现前腿机构在复杂工况下的有效控制。实验结果表明:采用模糊PID的前腿同步控制系统超调量较小,达到稳态的时间更少,具有较高的稳定性。展开更多
Most differential drive platforms are equipped with two independent actuators and casters. The positions of the gravity center and the rotation center often do not coincide. This position difference, combined with the...Most differential drive platforms are equipped with two independent actuators and casters. The positions of the gravity center and the rotation center often do not coincide. This position difference, combined with the effect of unbalanced actuator dynamics on the motion, makes it difficult to properly control the platform. We propose an adaptive nonlinear controller system based on the Lyapunov stability theory that greatly improves the trajectory tracking performance of such platforms. The asymptotically stable kinematic controller takes into account the position difference and the effect of the unbalanced actuator dynamics. The dynamic controller has the desirable property that it requires minimal knowledge of the platform physical parameters. Validation was performed through simulation and several experiments conducted on a rear driven powered wheelchair. Comparative experimental studies suggested that the proposed adaptive control system performs better than a similar method presented in the literature for linear as well as curvilinear trajectory tracking. Furthermore, the control system exhibits good tracking performance on inclined plans and non smooth surfaces.展开更多
In this paper, robust MPC (Model Predictive Control) with adaptive DA converter method for the wheelchair using EEG (Electroencephalogram) based BMI (Brain Machine Interface) is discussed. The method is developed to a...In this paper, robust MPC (Model Predictive Control) with adaptive DA converter method for the wheelchair using EEG (Electroencephalogram) based BMI (Brain Machine Interface) is discussed. The method is developed to apply to the obstacle avoidance system of wheelchair. This paper is the 1st stage for the development of the BMI based wheelchair in practical use. The robust MPC method is realized by using the minimax optimization with bounded constraint conditions. Some numerical examples are also included to demonstrate the effectiveness of the proposed methodas the former stage of the real experiments.展开更多
为提高全向智能轮椅床运动的平稳性和方向控制的准确性,研发了一种能护理失能老人的全向智能轮椅床。通过对移动平台进行力学和运动学分析,设计了一种精准的双闭环直流调速系统,实现了对全向智能轮椅床4个麦克纳姆轮转速的精确控制,解...为提高全向智能轮椅床运动的平稳性和方向控制的准确性,研发了一种能护理失能老人的全向智能轮椅床。通过对移动平台进行力学和运动学分析,设计了一种精准的双闭环直流调速系统,实现了对全向智能轮椅床4个麦克纳姆轮转速的精确控制,解决了全向智能轮椅床运动不稳定和方向控制偏离等问题。期望转速值确定后,通过对比经典比例积分微分(proportional integral differential, PID)算法和模糊PID算法的转速输出曲线,表明模糊PID算法更能满足全向智能轮椅床的使用要求。展开更多
文摘针对爬楼轮椅前腿的位姿调节机构在工作时不能同时触地及受力失衡等问题,文中提出基于模糊比例-积分-微分(Proportional Integral Derivative, PID)的前腿同步位姿调节控制策略。首先,建立了前腿位姿调节机构驱动装置的数学模型。其次,根据爬楼轮椅工作要求设定合适的阈值,通过偏差大小来选用最优的控制算法,建立了基于模糊控制策略与模糊自适应PID控制策略。最后,结合模糊PID复合控制模型,实现前腿机构在复杂工况下的有效控制。实验结果表明:采用模糊PID的前腿同步控制系统超调量较小,达到稳态的时间更少,具有较高的稳定性。
文摘Most differential drive platforms are equipped with two independent actuators and casters. The positions of the gravity center and the rotation center often do not coincide. This position difference, combined with the effect of unbalanced actuator dynamics on the motion, makes it difficult to properly control the platform. We propose an adaptive nonlinear controller system based on the Lyapunov stability theory that greatly improves the trajectory tracking performance of such platforms. The asymptotically stable kinematic controller takes into account the position difference and the effect of the unbalanced actuator dynamics. The dynamic controller has the desirable property that it requires minimal knowledge of the platform physical parameters. Validation was performed through simulation and several experiments conducted on a rear driven powered wheelchair. Comparative experimental studies suggested that the proposed adaptive control system performs better than a similar method presented in the literature for linear as well as curvilinear trajectory tracking. Furthermore, the control system exhibits good tracking performance on inclined plans and non smooth surfaces.
文摘In this paper, robust MPC (Model Predictive Control) with adaptive DA converter method for the wheelchair using EEG (Electroencephalogram) based BMI (Brain Machine Interface) is discussed. The method is developed to apply to the obstacle avoidance system of wheelchair. This paper is the 1st stage for the development of the BMI based wheelchair in practical use. The robust MPC method is realized by using the minimax optimization with bounded constraint conditions. Some numerical examples are also included to demonstrate the effectiveness of the proposed methodas the former stage of the real experiments.
文摘为提高全向智能轮椅床运动的平稳性和方向控制的准确性,研发了一种能护理失能老人的全向智能轮椅床。通过对移动平台进行力学和运动学分析,设计了一种精准的双闭环直流调速系统,实现了对全向智能轮椅床4个麦克纳姆轮转速的精确控制,解决了全向智能轮椅床运动不稳定和方向控制偏离等问题。期望转速值确定后,通过对比经典比例积分微分(proportional integral differential, PID)算法和模糊PID算法的转速输出曲线,表明模糊PID算法更能满足全向智能轮椅床的使用要求。
