Tracking Control of Ball on Sphere System Using Tuned Fuzzy Sliding Mode Controller Based on Artificial Bee Colony Algorithm

Zakeri, Ehsan; Moezi, Seyed Alireza; Eghtesad, Mohammad

doi:10.1007/s40815-017-0302-5

Cited by 18 publications

(8 citation statements)

References 19 publications

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“…The iteration of the algorithm continues until it reaches the termination condition [19]. Some authors have used the ABC algorithm for solving optimization problems [37,48]. In what follows, we will solve the problem of finding the MIVFSP problem by use of the ABC algorithm and explain each of the steps of the algorithm.…”

Section: Abc Algorithmmentioning

confidence: 99%

Modified artificial bee colony algorithm for solving mixed interval-valued fuzzy shortest path problem

Ebrahimnejad

Enayattabr

Motameni

et al. 2021

Complex Intell. Syst.

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In recent years, numerous researchers examined and analyzed several different types of uncertainty in shortest path (SP) problems. However, those SP problems in which the costs of arcs are expressed in terms of mixed interval-valued fuzzy numbers are less addressed. Here, for solving such uncertain SP problems, first a new procedure is extended to approximate the summation of mixed interval-valued fuzzy numbers using alpha cuts. Then, an extended distance function is introduced for comparing the path weights. Finally, we intend to use a modified artificial bee colony (MABC) algorithm to find the interval-valued membership function of SP in such mixed interval-valued fuzzy network. The proposed algorithm is illustrated via two applications of SP problems in wireless sensor networks and then the results are compared with those derived from genetic and particle swarm optimization (PSO) algorithms, based on three indexes convergence iteration, convergence time and run time. The obtained results confirm that the MABC algorithm has less convergence iteration, convergence time and implementation time compared to GA and PSO algorithm.

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Section: Abc Algorithmmentioning

confidence: 99%

Modified artificial bee colony algorithm for solving mixed interval-valued fuzzy shortest path problem

Ebrahimnejad

Enayattabr

Motameni

et al. 2021

Complex Intell. Syst.

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“…Substituting the sliding-mode control law (15) into the sliding-mode dynamics (14), we can obtain the closed-loop sliding-mode dynamics as follows:…”

Section: Theorem 1 For the Manned Submersible System ( ) With The Fumentioning

confidence: 99%

“…However, the conventional SMC method will bring about chattering phenomenon for its discontinuous control action [14]. Thus, some attempts have been made to alleviate the chattering phenomenon [15][16][17]. To sum up, the aforementioned control methods deal with the external disturbances and model uncertainties with the manner of feedback control action indirectly and slowly, rather than the feed-forward control action that is able to compensate the effects of the disturbances and uncertainties directly.…”

Section: Introductionmentioning

confidence: 99%

A Finite-Time Disturbance Observer Based Full-Order Terminal Sliding-Mode Controller for Manned Submersible with Disturbances

Fang

Liu

2018

Mathematical Problems in Engineering

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A novel full-order terminal sliding-mode controller (FOTSMC) based on the finite-time disturbance observer (FTDO) is proposed for the “JIAOLONG” manned submersible with lumped disturbances. First, a finite-time disturbance observer (FTDO) is developed to estimate the lumped disturbances including the external disturbances and model uncertainties. Second, a full-order terminal sliding-mode surface is designed for the manned submersible, whose sliding-mode motion behaves as full-order dynamics rather than reduced-order dynamics in conventional sliding-mode control systems. Then, a continuous sliding-mode control law is developed to avoid chattering phenomenon, as well as to drive the system outputs to the desired reference trajectory in finite time. Furthermore, the closed-loop system stability analysis is given by Lyapunov theory. Finally, the simulation results demonstrate the satisfactory tracking performance and excellent disturbance rejection capability of the proposed finite-time disturbance observer based full-order terminal sliding-mode control (FTDO-FOTSMC) method.

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“…But the discontinuity of SMC may cause undesirable transient control performance, such as larger overshoot, longer settling time and stronger chattering. SMC with different structures has been already proposed to mitigate the effects of the above disadvantages, such as integral SMC, 14 fuzzy SMC, 15 backstepping SMC, 16 etc. However, these methods mainly improve the structure of SMC to reject lumped disturbances, which may induce serious control chattering.…”

Section: Introductionmentioning

confidence: 99%

Optimal attitude tracking control for an unmanned aerial quadrotor under lumped disturbances

Ding

2020

International Journal of Micro Air Vehicles

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The robust control problem in attitude tracking of an unmanned aerial vehicle quadrotor is a challenging task due to strong parametric uncertainties, large nonlinearities and high couplings in flight dynamics. In this paper, a continuous nonsingular fast terminal sliding mode controller based on linear extended state observer is proposed for attitude tracking control of a quadrotor under lumped disturbances. The proposed control method requires no prior knowledge of the attitude dynamics. It can ensure rapid convergence rate and high tracking precision due to terminal sliding mode surface and fast reaching law. The controller uses the linear extended state observer to reject the influence of both parametric uncertainties and external disturbances. Meanwhile, the nonsingular fast terminal sliding mode control strategy is designed to ensure the state variables to slide to desired points in finite time. To enhance the control performance, a self-adaptive fruit fly optimization algorithm is applied to parameters tuning of the proposed controller. The effectiveness of the proposed control approach is illustrated through numerical simulations and experimental verification.

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Tracking Control of Ball on Sphere System Using Tuned Fuzzy Sliding Mode Controller Based on Artificial Bee Colony Algorithm

Cited by 18 publications

References 19 publications

Modified artificial bee colony algorithm for solving mixed interval-valued fuzzy shortest path problem

Modified artificial bee colony algorithm for solving mixed interval-valued fuzzy shortest path problem

A Finite-Time Disturbance Observer Based Full-Order Terminal Sliding-Mode Controller for Manned Submersible with Disturbances

Optimal attitude tracking control for an unmanned aerial quadrotor under lumped disturbances

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