Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation

In this paper, an adaptive sliding mode fault tolerant control (ASMFTC) approach is proposed for a class of nonlinear systems with actuator fault, uncertainty, and external disturbance. Specifically, first, a novel observer is proposed to estimate the state, actuator fault, and external disturbance. Then, by utilising the observed information, a novel output sliding mode observer is constructed. In the control method, an adaptive law and two compensators are designed to attenuate the unknown estimation errors, actuator fault, and disturbance. Furthermore, the reaching ability of the sliding motion is analysed and the H-infinite performance is introduced to ensure the robustness of the system. Finally, a flexible single joint manipulator system and a two-cart system are used to verify the effectiveness of the proposed method.

Download Full-text

Fault Tolerant Control Scheme Using Adaptive Sliding Mode Control Allocation

2019 6th International Conference on Control, Instrumentation and Automation (ICCIA) ◽

10.1109/iccia49288.2019.9030902 ◽

2019 ◽

Author(s):

Navid Abbasi ◽

Ali Khaki Sedigh ◽

Mehdi Naderi ◽

Seyed Reza Jafari

Keyword(s):

Sliding Mode Control ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Adaptive Sliding Mode Control ◽

Control Allocation ◽

Adaptive Sliding Mode ◽

Mode Control ◽

Control Scheme

Download Full-text

Sliding mode fault-tolerant control for Takagi-Sugeno fuzzy systems with local nonlinear models: Application to inverted pendulum and cart system

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331220949366 ◽

2020 ◽

pp. 014233122094936

Author(s):

Riadh Hmidi ◽

Ali Ben Brahim ◽

Slim Dhahri ◽

Fayçal Ben Hmida ◽

Anis Sellami

Keyword(s):

Fuzzy Systems ◽

Inverted Pendulum ◽

Fault Tolerant ◽

Sliding Mode ◽

Nonlinear Models ◽

Fault Tolerant Control ◽

Simultaneous Occurrence ◽

Sensor Faults ◽

Adaptive Sliding Mode ◽

Takagi Sugeno

This paper proposes fault-tolerant control design for uncertain nonlinear systems described under Takagi-Sugeno fuzzy systems with local nonlinear models that satisfy the Lipschitz condition. First, by transforming sensor faults as ‘pseudo-actuator’ faults, an adaptive sliding mode observer is designed in order to simultaneously estimate system states, actuator and sensor faults despite the presence of norm-bounded uncertainties. Second, an adaptive sliding mode controller is suggested to provide a solution to stabilize the closed-loop system, even in the event of simultaneous occurrence of faults in actuators and sensors. Next, the main objective of the fault-tolerant control strategy is to compensate for the effects of fault based on the feedback information. Therefore, using the LMI optimization method, sufficient conditions are developed with [Formula: see text] to calculate the gains of the observer and the controller. Then, particular attention is paid to the simultaneous maximization, by convex multi-objective optimization, of the Lipschitz nonlinear constant in Takagi-Sugeno fuzzy modelling and uncertainties attenuation level. The results of the simulation illustrate the effectiveness of our fault-tolerant control approach using a nonlinear inverted pendulum with a cart system.

Download Full-text