Robust Fault Identification of Turbofan Engines Sensors Based on Fractional-Order Integral Sliding Mode Observer

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Xiaocong He ◽  
Lingfei Xiao
Keyword(s):  
Fractional Order ◽  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Fault Identification ◽  
Integral Sliding Mode ◽  
Turbofan Engines ◽  
System A ◽  
Fault Reconstruction ◽  
Integral Sliding Surface ◽  
Fractional Order Integral

Abstract This paper presents a robust fault identification scheme based on fractional-order integral sliding mode observer (FOISMO) for turbofan engine sensors with uncertainties. The equilibrium manifold expansion (EME) model is introduced due to its simplicity and accuracy for nonlinear system. A fractional-order integral sliding mode observer is designed to reconstruct faults on sensors, in which the fractional-order integral sliding surface guarantees the fast convergence of reconstruction. The observer parameters is selected according to L2 gain theory in order to minimize the effect of uncertainties on the fault reconstruction signal. Simulations in Matlab/Simulink show high reconstruction accuracy of the proposed method despite the present of uncertainties.

Load disturbance rejection control of a bearingless induction motor based on fractional-order integral sliding mode

2018 ◽  
Vol 232 (10) ◽  
pp. 1356-1364 ◽  
Author(s):  
Zebin Yang ◽  
Kun Wang ◽  
Xiaodong Sun ◽  
Xiaoting Ye
Keyword(s):  
Control System ◽  
Induction Motor ◽  
Fractional Order ◽  
Control Strategy ◽  
Sliding Mode ◽  
Load Torque ◽  
Integral Sliding Mode ◽  
Speed Controller ◽  
Load Disturbance ◽  
Fractional Order Integral

In order to improve the capability of load disturbance resistance of vector control system for a bearingless induction motor, a control strategy of the bearingless induction motor based on sliding mode speed controller and load torque observer is proposed. The control strategy uses fractional integral of velocity error and designs the nonlinear integral order sliding mode surface, and then a new bearingless induction motor speed control system is constructed. The extended sliding mode observer is designed with the rotor position, rotational speed and load torque as the observation object. The low-pass filter is used to weaken the high-frequency chattering of the sliding mode control to improve the accuracy of the observation, and the load torque observation value is compensated to the fractional-order integral sliding mode speed controller. The simulation and experimental results show that the proposed scheme achieves accurate and fast tracking of the load torque, effectively suppresses the chattering and improves the robustness of the system. The control system improves the resistance capacity against load disturbance and has better dynamic performance.

scholarly journals Discrete-Time Fractional Order Integral Sliding Mode Control of an Antagonistic Actuator Driven by Pneumatic Artificial Muscles

2019 ◽  
Vol 9 (12) ◽  
pp. 2503 ◽  
Author(s):  
Quy-Thinh Dao ◽  
Manh-Linh Nguyen ◽  
Shin-ichiroh Yamamoto
Keyword(s):  
Sliding Mode Control ◽  
Fractional Order ◽  
Discrete Time ◽  
Sliding Mode ◽  
Artificial Muscles ◽  
Integral Sliding Mode Control ◽  
Integral Sliding Mode ◽  
Control Approach ◽  
Mode Control ◽  
Fractional Order Integral

Recently, pneumatic artificial muscles (PAMs), a lightweight and high-compliant actuator, have been increasingly used in assistive rehabilitation robots. PAM-based applications must overcome two inherent drawbacks. The first is the nonlinearity due to the compressibility of the air, and the second is the hysteresis due to its geometric construction. Because of these drawbacks, it is difficult to construct not only an accurate mathematical model but also a high-performance control scheme. In this paper, the discrete-time fractional order integral sliding mode control approach is investigated to deal with the drawbacks of PAMs. First, a discrete-time second order plus dead time mathematical model is chosen to approximate the characteristics of PAMs in the antagonistic configuration. Then, the fractional order integral sliding mode control approach is employed together with a disturbance observer to improve the trajectory tracking performance. The effectiveness of the proposed control method is verified in multi-scenario experiments using a physical actuator.

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