俄ЦАГИ在地面飞行模拟试验和飞行试验数据的统计分析基础上,提出了一个频域最佳C*响应操纵灵敏度——A值的概念,并找出了驾驶杆特性(pχ)和静态操纵灵敏度(pny、χny)最佳值与A值的表达式,以及它们偏离最佳值时飞行品质评分(PR)与...俄ЦАГИ在地面飞行模拟试验和飞行试验数据的统计分析基础上,提出了一个频域最佳C*响应操纵灵敏度——A值的概念,并找出了驾驶杆特性(pχ)和静态操纵灵敏度(pny、χny)最佳值与A值的表达式,以及它们偏离最佳值时飞行品质评分(PR)与人机耦合振荡(PIO)评分(PIOR)随相对偏离量的关系曲线。 A 将此关系曲线用于预测评估人感系统相关参数对PIO趋势的影响,称之为A准则。本文从应用的角度详细地进行了计算公式的推导,讨论了准则在推导过程中所采用的假设和其适用情况,重新整理和校核了计算步骤和算例,以便于我国航空界使用。展开更多
This paper describes a novel type of pendulum-like oscillation controller for micro air vehicle(MAV) hover and stare state in the presence of external disturbances,which is based on linear-quadratic regulator(LQR) and...This paper describes a novel type of pendulum-like oscillation controller for micro air vehicle(MAV) hover and stare state in the presence of external disturbances,which is based on linear-quadratic regulator(LQR) and particle swarm optimization(PSO).A linear mathematical model of pendulum phenomenon based upon actual wind tunnel test data representing the hover mode is established,and a hybrid LQR and PSO approach is proposed to stabilize oscillation.PSO is applied to parameter optimization of the designed LQR controller.A series of comparative experiments are conducted,and the results have verified the feasibility,effectiveness and robustness of our proposed approach.展开更多
文摘俄ЦАГИ在地面飞行模拟试验和飞行试验数据的统计分析基础上,提出了一个频域最佳C*响应操纵灵敏度——A值的概念,并找出了驾驶杆特性(pχ)和静态操纵灵敏度(pny、χny)最佳值与A值的表达式,以及它们偏离最佳值时飞行品质评分(PR)与人机耦合振荡(PIO)评分(PIOR)随相对偏离量的关系曲线。 A 将此关系曲线用于预测评估人感系统相关参数对PIO趋势的影响,称之为A准则。本文从应用的角度详细地进行了计算公式的推导,讨论了准则在推导过程中所采用的假设和其适用情况,重新整理和校核了计算步骤和算例,以便于我国航空界使用。
基金supported by the National Natural Science Foundation of China (Grant Nos. 61273054,60975072,60604009)the Program for New Century Excellent Talents in University of China (Grant No. NCET-10-0021)+1 种基金the Aeronautical Foundation of China (Grant No. 20115151019)the Opening Foundation of State Key Laboratory of Virtual Reality Technology and Systems of China (Grant No. VR-2011-ZZ-01)
文摘This paper describes a novel type of pendulum-like oscillation controller for micro air vehicle(MAV) hover and stare state in the presence of external disturbances,which is based on linear-quadratic regulator(LQR) and particle swarm optimization(PSO).A linear mathematical model of pendulum phenomenon based upon actual wind tunnel test data representing the hover mode is established,and a hybrid LQR and PSO approach is proposed to stabilize oscillation.PSO is applied to parameter optimization of the designed LQR controller.A series of comparative experiments are conducted,and the results have verified the feasibility,effectiveness and robustness of our proposed approach.