Experimental validation of optimized fast terminal sliding mode control for level system

Ghogare, Mukesh G.; Patil, S. L.; Patil, C. Y.

doi:10.1016/j.isatra.2021.08.007

Cited by 7 publications

(2 citation statements)

References 28 publications

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“…For example, W. Xu et al [19] used the adaptive velocity particle swarm optimization (AVPSO) technique to optimize the control parameters of an anti-windup proportional and integral (AWPI) controller off-line. Ghogare MG et al [20] described the process control application of a single-input, single-output (SISO) level control system that uses a combination of fast terminal sliding-mode control (FTSMC) and an optimization method. Jin Z et al [21] proposed a hybrid wolf optimization algorithm (HWOA) to automatically change the controller parameters of SMDTC for SPMSMs.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Adaptive Back-Stepping Optimization Control of the Hydraulic Active Suspension Actuator

Zhao

et al. 2023

Processes

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The displacement tracking performance of the electro-hydraulic servo actuator is critical for hydraulic active suspension control. To tackle the problem of slow time-varying parameters in the existing actuator dynamics model, a nonlinear adaptive back-stepping control (ABC) approach is adopted. Simultaneously, the parameters of the nonlinear ABC are difficult to configure, resulting in a poor control effect. An enhanced particle swarm optimization (PSO) approach integrating crazy particles (CP) and time-varying acceleration coefficients (TVAC) is suggested to optimize the controller settings. Furthermore, in order to obtain satisfactory dynamic characteristics of the transition process, the absolute value of the error time integral performance index is used as the minimum performance index function of parameter selection, and the square term of the control input is added to the performance index function to prevent excessive controller energy. Finally, it can be observed from the simulation results of the highest value emax of the displacement tracking error, the average value eμ of error, and the standard deviation eσ of error that the performance of the ABC parameters optimized by PSO+CP+ATVC is superior to the manually given ABC parameters. Therefore, this control method significantly improves the stability and speed of the control system. It provides a new research idea for the parameter optimization of controllers.

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Section: Introductionmentioning

confidence: 99%

Nonlinear Adaptive Back-Stepping Optimization Control of the Hydraulic Active Suspension Actuator

Zhao

et al. 2023

Processes

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“…However, its convergence speed becomes slower when states are far from the equilibrium point. Thus, a fast TSMC (FTSMC) method [24] has been proposed to achieve faster convergence for TSMC. In [25], this method is used to control the attitude of UAV accurately and quickly despite external disturbance, model uncertainty, and actuator faults.…”

Section: Introductionmentioning

confidence: 99%

An Augmented Sliding Mode Control for Fixed-Wing UAVs with External Disturbances and Model Uncertainties

Pan

Zou

et al. 2023

Drones

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Model uncertainties and external disturbances present significant challenges for controlling fixed-wing unmanned aerial vehicles (UAVs). An adaptive smooth second-order time-varying nonsingular fast terminal sliding mode control method is proposed in this paper for attitude and airspeed control of fixed-wing UAVs with model uncertainties and external disturbances. This control method does not require information about the bounds of disturbances and can avoid overestimation of the control gains. A radial basis function neural network observer is designed to mitigate the influence caused by sudden disturbances. The convergence of the attitude and airspeed controllers is proven by using the Lyapunov stability theory. Simulation results demonstrate the effectiveness of the proposed method for controlling a six-degrees-of-freedom fixed-wing UAV.

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Robust control for a drone quadrotor using fuzzy logic-based fast terminal sliding mode control

Jennan,

Mellouli

2024

J Braz. Soc. Mech. Sci. Eng.

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Experimental validation of optimized fast terminal sliding mode control for level system

Cited by 7 publications

References 28 publications

Nonlinear Adaptive Back-Stepping Optimization Control of the Hydraulic Active Suspension Actuator

Nonlinear Adaptive Back-Stepping Optimization Control of the Hydraulic Active Suspension Actuator

An Augmented Sliding Mode Control for Fixed-Wing UAVs with External Disturbances and Model Uncertainties

Robust control for a drone quadrotor using fuzzy logic-based fast terminal sliding mode control

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