为了将CAN(Controller Area Network)总线应用于无人直升机系统,设计一种具有通用性的CAN应用层协议.针对CANaerospace V1.7版协议在无人直升机系统应用的数据定义、测控带宽等问题进行改进.重新设计定义了基本帧格式和数据标识号,提出...为了将CAN(Controller Area Network)总线应用于无人直升机系统,设计一种具有通用性的CAN应用层协议.针对CANaerospace V1.7版协议在无人直升机系统应用的数据定义、测控带宽等问题进行改进.重新设计定义了基本帧格式和数据标识号,提出一种适用无人直升机系统应用的CANauh协议.为了对CANauh协议进行验证,以一种基于CAN总线的无人直升机航空电子系统为对象进行CAN总线数据内容、调度表、总线负载的设计和CA-Noe数字仿真.CANauh协议在10 ms基本周期的总线负载为40.83%,数据可扩展定义空间为67.4%,测控系统带宽具有66.7%的占空比,满足无人直升机系统的指标要求.CANauh协议可以促进CAN总线在无人直升机系统中的应用,避免重复性设计,增加各个系统间的互操作性,降低开发维护成本.展开更多
针对存在非线性、强耦合、外部未知有界干扰和建模不确定性的平面运动下无人直升机吊装系统,研究了一种基于径向基函数神经网络(radial basis function neural networks,RBFNNs)和干扰观测器的无人直升机吊装系统滑模减摆控制方法。首...针对存在非线性、强耦合、外部未知有界干扰和建模不确定性的平面运动下无人直升机吊装系统,研究了一种基于径向基函数神经网络(radial basis function neural networks,RBFNNs)和干扰观测器的无人直升机吊装系统滑模减摆控制方法。首先将系统模型转换成仿射非线性形式,利用RBFNNs逼近系统不确定性,设计干扰观测器估计神经网络逼近误差与外界未知有界干扰的复合值。然后基于RBFNNs和干扰观测器设计了滑模减摆控制器,并用Lyapunov方法证明闭环系统稳定性;最后通过仿真验证了所设计控制器的有效性。展开更多
A robust anti-swing control method based on the error transformation function is proposed,and the problem is handled for the unmanned helicopter slung-load system(HSLS)deviating from the equilibrium state due to the d...A robust anti-swing control method based on the error transformation function is proposed,and the problem is handled for the unmanned helicopter slung-load system(HSLS)deviating from the equilibrium state due to the disturbances in the lifting process.First,the nonlinear model of unmanned HSLS is established.Second,the errors of swing angles are constructed by using the two ideal swing angle values and the actual swing angle values for the unmanned HSLS under flat flight,and the error transformation functions are investigated to guarantee that the errors of swing angles satisfy the prescribed performance.Third,the nonlinear disturbance observers are introduced to estimate the bounded disturbances,and the robust controllers of the unmanned HSLS,the velocity and the attitude subsystems are designed based on the prescribed performance method,the output of disturbance observer and the sliding mode backstepping strategy,respectively.Fourth,the Lyapunov function is developed to prove the stability of the closed-loop system.Finally,the simulation studies are shown to demonstrate the effectiveness of the control strategy.展开更多
In this paper, we conduct research on the unmanned aerial vehicle adaptive control system based on fuzzy control and chaosmechanics. Four rotor aircraft is a kind of nonlinear systems with underactuated, strong coupli...In this paper, we conduct research on the unmanned aerial vehicle adaptive control system based on fuzzy control and chaosmechanics. Four rotor aircraft is a kind of nonlinear systems with underactuated, strong coupling characteristic. Although in existing research,through the design of the control algorithm effectively inhibits both for fl ight control effect, but not fundamentally eliminate the effect of aircraft.Dynamic model of unmanned helicopter fl ight control system design is very approximate, need to gradually improve the modeling accuracy, soas to get the exact autonomous fl ight control, so you need to practice constantly required to modeling in the fl ight information, so the unmannedhelicopter fl ight control system to have the ability to retrieve information modeling. This paper proposes the new idea on the issues that will bemeaningful.展开更多
文摘为了将CAN(Controller Area Network)总线应用于无人直升机系统,设计一种具有通用性的CAN应用层协议.针对CANaerospace V1.7版协议在无人直升机系统应用的数据定义、测控带宽等问题进行改进.重新设计定义了基本帧格式和数据标识号,提出一种适用无人直升机系统应用的CANauh协议.为了对CANauh协议进行验证,以一种基于CAN总线的无人直升机航空电子系统为对象进行CAN总线数据内容、调度表、总线负载的设计和CA-Noe数字仿真.CANauh协议在10 ms基本周期的总线负载为40.83%,数据可扩展定义空间为67.4%,测控系统带宽具有66.7%的占空比,满足无人直升机系统的指标要求.CANauh协议可以促进CAN总线在无人直升机系统中的应用,避免重复性设计,增加各个系统间的互操作性,降低开发维护成本.
文摘针对存在非线性、强耦合、外部未知有界干扰和建模不确定性的平面运动下无人直升机吊装系统,研究了一种基于径向基函数神经网络(radial basis function neural networks,RBFNNs)和干扰观测器的无人直升机吊装系统滑模减摆控制方法。首先将系统模型转换成仿射非线性形式,利用RBFNNs逼近系统不确定性,设计干扰观测器估计神经网络逼近误差与外界未知有界干扰的复合值。然后基于RBFNNs和干扰观测器设计了滑模减摆控制器,并用Lyapunov方法证明闭环系统稳定性;最后通过仿真验证了所设计控制器的有效性。
基金This work was supported in part by the National Natural Science Foundation of China(No.62003163)the National Science Fund for the Key R&D projects(Social Development)in Jiangsu Province of China(No.BE2020704)+3 种基金the Aeronautical Science Foundation of China(Nos.201957052001,20200007052001)the Jiangsu Province“333”project(No.BRA2019051)the Postdoctoral Research Foundation of Jiangsu Province(No.2020Z112)the Natural Science Foundation of Jiangsu Province for Young Scholars(No.BK20200415)。
文摘A robust anti-swing control method based on the error transformation function is proposed,and the problem is handled for the unmanned helicopter slung-load system(HSLS)deviating from the equilibrium state due to the disturbances in the lifting process.First,the nonlinear model of unmanned HSLS is established.Second,the errors of swing angles are constructed by using the two ideal swing angle values and the actual swing angle values for the unmanned HSLS under flat flight,and the error transformation functions are investigated to guarantee that the errors of swing angles satisfy the prescribed performance.Third,the nonlinear disturbance observers are introduced to estimate the bounded disturbances,and the robust controllers of the unmanned HSLS,the velocity and the attitude subsystems are designed based on the prescribed performance method,the output of disturbance observer and the sliding mode backstepping strategy,respectively.Fourth,the Lyapunov function is developed to prove the stability of the closed-loop system.Finally,the simulation studies are shown to demonstrate the effectiveness of the control strategy.
文摘In this paper, we conduct research on the unmanned aerial vehicle adaptive control system based on fuzzy control and chaosmechanics. Four rotor aircraft is a kind of nonlinear systems with underactuated, strong coupling characteristic. Although in existing research,through the design of the control algorithm effectively inhibits both for fl ight control effect, but not fundamentally eliminate the effect of aircraft.Dynamic model of unmanned helicopter fl ight control system design is very approximate, need to gradually improve the modeling accuracy, soas to get the exact autonomous fl ight control, so you need to practice constantly required to modeling in the fl ight information, so the unmannedhelicopter fl ight control system to have the ability to retrieve information modeling. This paper proposes the new idea on the issues that will bemeaningful.