Adaptive neural control for an uncertain fractional-order rotational mechanical system using disturbance observer

作者：Shao, Shuyi; Chen, Mou^*; Chen, Shaodong; Wu, Qingxian

来源：IET Control Theory and Applications, 2016, 10(16): 1972-1980.

DOI：10.1049/iet-cta.2015.1054

• control system synthesis
• adaptive control
• neurocontrollers
• uncertain systems
• observers
• nonlinear control systems
• robust control
• position control
• robust adaptive neural control
• uncertain fractional-order rotational mechanical system
• FORMS
• external unknown disturbances
• neural network
• NN
• nonlinear fractional-order disturbance observer
• FODO
• tracking control scheme

In this study, a robust adaptive neural control is proposed for a fractional-order rotational mechanical system (FORMS) in the presence of system uncertainties and external unknown disturbances. System uncertainties of the FORMS are handled by the neural network (NN). To tackle unknown disturbances, a non-linear fractional-order disturbance observer (FODO) is explored for the FORMS. A robust adaptive control scheme is then developed by combining the NN with the designed FODO. Finally, numerical simulation results further demonstrate the effectiveness of the proposed tracking control scheme for the uncertain FORMS subject to external unknown disturbances.

• 出版日期2016-10-31
• 单位南京航空航天大学; 中国航空工业集团公司洛阳电光设备研究所