The inherent nonlinearities of the rudder servo system(RSS) and the unknown external disturbances bring great challenges to the practical application of fault detection technology. Modeling of whole rudder system is a...The inherent nonlinearities of the rudder servo system(RSS) and the unknown external disturbances bring great challenges to the practical application of fault detection technology. Modeling of whole rudder system is a challenging and difficult task. Quite often, models are too inaccurate, especially in transient stages. In model based fault detection, these inaccuracies might cause wrong actions. An effective approach, which combines nonlinear unknown input observer(NUIO) with an adaptive threshold, is proposed. NUIO can estimate the states of RSS asymptotically without any knowledge of external disturbance. An adaptive threshold is used for decision making which helps to reduce the influence of model uncertainty. Actuator and sensor faults that occur in RSS are considered both by simulation and experimental tests. The observer performance, robustness and fault detection capability are verified. Simulation and experimental results show that the proposed fault detection scheme is efficient and can be used for on-line fault detection.展开更多
设计了一种基于Arduino mega 2560、舵机驱动板和Torobot蓝牙模块的仿生六足机器人控制系统,该控制系统以手机作为命令发送端,Arduino mega 2560和Torobot蓝牙模块作为硬件基础,利用Arduino IDE编程语言编写六足机器人运动控制程序,手...设计了一种基于Arduino mega 2560、舵机驱动板和Torobot蓝牙模块的仿生六足机器人控制系统,该控制系统以手机作为命令发送端,Arduino mega 2560和Torobot蓝牙模块作为硬件基础,利用Arduino IDE编程语言编写六足机器人运动控制程序,手机和蓝牙模块之间通过Bluetooth.spp软件发送控制指令并返回命令状态,从而实现六足机器人各种步态的控制。该六足机器人控制系统具备结构简单、操作方便等特点,利用手机便可以控制六足机器人的前进、后退和转弯等多种运动形态,并通过实验证明了设计的有效性。展开更多
基金Project(51221004)supported by the Science Fund for Creative Research Groups of National Natural Science Foundation of ChinaProject(51175453)supported by the National Natural Science Foundation of China
文摘The inherent nonlinearities of the rudder servo system(RSS) and the unknown external disturbances bring great challenges to the practical application of fault detection technology. Modeling of whole rudder system is a challenging and difficult task. Quite often, models are too inaccurate, especially in transient stages. In model based fault detection, these inaccuracies might cause wrong actions. An effective approach, which combines nonlinear unknown input observer(NUIO) with an adaptive threshold, is proposed. NUIO can estimate the states of RSS asymptotically without any knowledge of external disturbance. An adaptive threshold is used for decision making which helps to reduce the influence of model uncertainty. Actuator and sensor faults that occur in RSS are considered both by simulation and experimental tests. The observer performance, robustness and fault detection capability are verified. Simulation and experimental results show that the proposed fault detection scheme is efficient and can be used for on-line fault detection.
文摘设计了一种基于Arduino mega 2560、舵机驱动板和Torobot蓝牙模块的仿生六足机器人控制系统,该控制系统以手机作为命令发送端,Arduino mega 2560和Torobot蓝牙模块作为硬件基础,利用Arduino IDE编程语言编写六足机器人运动控制程序,手机和蓝牙模块之间通过Bluetooth.spp软件发送控制指令并返回命令状态,从而实现六足机器人各种步态的控制。该六足机器人控制系统具备结构简单、操作方便等特点,利用手机便可以控制六足机器人的前进、后退和转弯等多种运动形态,并通过实验证明了设计的有效性。
