A Discrete Adaptive Second Order Neuro Sliding Mode Control For Uncertain Nonlinear System

Raja, Ben Mohamed; Houda, Romdhane; Dehri, Khadija; Said, Nouri Ahmed

doi:10.1109/sta.2019.8717283

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…The AISMC control law (Eqs. ( 20), (21), and ( 24)), provides a comprehensive solution to the attitude control of stationholding underwater robots in confined space. Through Eqs.…”

Section: B Aismc Designmentioning

confidence: 99%

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Adaptive Integral-Type Terminal Sliding Mode Fault Tolerant Control for Spacecraft Attitude Tracking

Wang

2019

IEEE Access

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In this paper, the attitude tracking control for a spacecraft system based on a novel adaptive integral-type terminal sliding mode fault-tolerant control strategy is investigated. First, a basic fault-tolerant control scheme is designed to ensure the spacecraft attitude tracking performance in the presence of the actuator fault, external disturbance, and actuator saturation when the rotational inertia of a spacecraft system is known. Second, combined with adaptive laws, a modified fault-tolerant control scheme is proposed to compensate the actuator fault and system uncertainty which contains external disturbance and the inertia uncertainty, separately. The actuator fault is compensated more directly and accurately. The benefits of this approach are that the proposed control scheme can enable the merits of the integral-type terminal sliding mode control, such as nonsingularity, fast convergence speed, and small steady-state errors. Finally, the simulation results are given to demonstrate the effectiveness of the proposed fault-tolerant control schemes. INDEX TERMSActuator fault, adaptive integral-type terminal sliding mode control, attitude tracking control, fault tolerant control.

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“…The AISMC control law (Eqs. ( 20), (21), and ( 24)), provides a comprehensive solution to the attitude control of stationholding underwater robots in confined space. Through Eqs.…”

Section: B Aismc Designmentioning

confidence: 99%

“…Moreover, both system and environmental disturbances are often time-varying. To address these challenges, researchers like Fei [20], Raja [21], and Plestan [22] developed adaptive sliding mode control (ASMC) that adjusted the switching gain of SMC based on changes in the system states and estimated external disturbances.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Integral-Type Terminal Sliding Mode Fault Tolerant Control for Spacecraft Attitude Tracking

Wang

2019

IEEE Access

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A Discrete Terminal Neuro-Sliding Mode Control with Adaptive Switching Gain for an Uncertain Nonlinear System

Mohamed

Dehri

Elhajji

et al. 2021

Iran J Sci Technol Trans Electr Eng

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Adaptive Variable Structure Control With Neuron for Path Tracking of Beaver AUV

Wang

Pan

2020

IEEE Access

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In order to improve path tracking performance of Beaver AUV, a new method for path tracking controller design is proposed basing on variable structure control theory and nonlinear dynamics model of Beaver. Switching surface of variable structure controllers is founded with corresponding error and error derivative of surge displacement and yaw angle. Exponential approach law is adopted to derive control algorithm for surge and yaw in the process of path tracking. Chattering phenomenon is restrained due to adaptive neurons which are used for approaching speed adjusting online. Simulation results of sinusoidal path tracking, circular path tracking and planning path tracking show that tracking precision of Beaver AUV is improved more evidently through variable structure control with adaptive approaching speed compared with variable structure control using fixed approaching speed. The method proposed in this article is effective and feasible. INDEX TERMS Autonomous underwater vehicle, neuron, path tracking, variable structure control.

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A Discrete Adaptive Second Order Neuro Sliding Mode Control For Uncertain Nonlinear System

Cited by 6 publications

References 12 publications

Adaptive Integral-Type Terminal Sliding Mode Fault Tolerant Control for Spacecraft Attitude Tracking

Adaptive Integral-Type Terminal Sliding Mode Fault Tolerant Control for Spacecraft Attitude Tracking

A Discrete Terminal Neuro-Sliding Mode Control with Adaptive Switching Gain for an Uncertain Nonlinear System

Adaptive Variable Structure Control With Neuron for Path Tracking of Beaver AUV

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