A Case Study on Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise: Utilizing Artificial Intelligence Techniques to Design an Effective Active Suspension System

Azizi, Aydin

doi:10.1155/2020/7179801

Cited by 14 publications

(6 citation statements)

References 19 publications

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“…ere are several stabilization results such as the exponential stabilization [14,17,18,20], the asymptotic stabilization [5,6,16,22,23], the uniformly ultimately boundedness [9][10][11], the feedback stabilization [15,24], the stochastic stabilization [12,21], or the mean square stabilization [13].…”

Section: Remarkmentioning

confidence: 99%

“…ere are many kinds of nonlinearities which impede to reach the stabilization of electricity generators, and some examples of these nonlinearities are the arbitrary switching [9][10][11][12][13], the time-delays [14][15][16][17][18], the impulse perturbations [19,20], or the unknown nonlinearities [21][22][23][24]. e major issue is that in most of the cases, the mentioned nonlinearities are unknown.…”

Section: Introductionmentioning

confidence: 99%

“…e magnet interaction nonlinearities and generator nonlinearities are two unknown nonlinearities of the electricity generators which can severely affect their performance [21][22][23][24]. Hence, the research about regulators for the stabilization of electricity generators where the magnet interaction nonlinearities and generator nonlinearities are unknown, which is of interest, and two alternatives are the proportional derivation regulator of [3][4][5] and the sliding mode regulator of [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Stabilization of Two Electricity Generators

Martínez

Rubio²,

Aguilar

et al. 2020

Complexity

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In this research, a sliding mode regulator with sine mapping is suggested for the stabilization of electricity generators being affected by magnet interaction nonlinearities and generator nonlinearities. To reach this goal, our suggested regulator has the following contributions: (a) it starts from the sliding mode regulator with the modifications that the saturation mapping is used to reach a smoother performance instead of the signum mapping, and the sine mapping is applied to reach an upper bound in the proportional gain error, (b) it is used to reach some chosen constant behaviors for the angle position, angle speed, and current in the electricity generators, and (c) its stabilization is ensured based on the Lyapunov approach. We show the simulation of the suggested regulator in two electricity generators.

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Section: Remarkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stabilization of Two Electricity Generators

Martínez

Rubio²,

Aguilar

et al. 2020

Complexity

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“…Moreover, the effects of uncertainty in the system and actuator together with the effects of controller parameters on the dynamical behavior of the system and the region of attraction set are investigated. In this paper, based on the authors' previous related research [31][32][33][34], road surface variations are considered as Gaussian white noise. Obviously, the use of fuzzy-sliding mode [35], neural-sliding mode, or second-order sliding mode controller along with more complexity and calculations can increase the efficiency of the control system or reduce the effects of chattering.…”

Section: Introductionmentioning

confidence: 99%

Applied Mechatronics: Designing a Sliding Mode Controller for Active Suspension System

Azizi

Mobki

2021

Complexity

Self Cite

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The suspension system is referred to as the set of springs, shock absorbers, and linkages that connect the car to the wheel system. The main purpose of the suspension system is to provide comfort for the passengers, which is created by reducing the effects of road bumpiness. It is worth noting that reducing the effects of such vibrations also diminishes the noise and undesirable sound as well as the effects of fatigue on mechanical parts of the vehicle. Due to the importance of the abovementioned issues, the objective of this article is to reduce such vibrations on the car by implementing an active control method on the suspension system. For this purpose, a conventional first-order sliding mode controller has been designed for stochastic control of the quarter-car model. It is noteworthy that this controller has a significant ability to overcome the stochastic effects, uncertainty, and deal with nonlinear factors. To design a controller, the governing dynamical equation of the quarter-car system has been presented by considering the nonlinear terms in the springs and shock absorber, as well as taking into account the uncertainty factors in the system and the actuator. The design process of the sliding mode controller has been presented and its stability has been investigated in terms of the Lyapunov stability. In the current research, road surface variations are considered as Gaussian white noise. The dynamical system behavior for controlled and uncontrolled situations has been simulated and the extracted results have been presented. Besides, the effects of existing uncertainty in the suspension system and actuator have been evaluated and controller robustness has been checked. Also, the obtained quantitative and qualitative compressions have been presented. Moreover, the effect of controller parameters on the basin of attraction set and its extensiveness has been assessed. The achieved results have indicated the good performance and significant robustness of the designed controller to stabilize the suspension system and mitigate the effects of road bumpiness in the presence of uncertainty and noise factors.

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“…Therefore, mathematical algorithms are not suited for solving this complex optimization problem due to their limitations. Evolutionary methods are used for solving engineering optimization problems due to their features such as simple implementation and low computational volume [23,24]. Most of the investigated studies have considered the problem as a single-objective problem and have not presented a strategy for solving the multi-objective problem.…”

Section: Introductionmentioning

confidence: 99%

Optimal reconfiguration of distribution network feeders considering electrical vehicles and distributed generators

et al. 2021

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Penetration of electrical vehicles and distributed generation resources in distribution networks is increasing, and it is needed to investigate their effect on system′s operation scheme, reliability. But the simultaneous presence of electrical vehicles and distributed generation resources requires meticulous planning, because lack of access to an application can reduce the lifetime of these technologies, leading to multiple blackouts in the power grid. Therefore, this study proposes the dynamic distribution network reconfiguration in the presence of distributed generation units and electrical vehicles with various objective functions including energy loss, operational cost and energy not supplied. Moreover, the time of use mechanism as a demand response application is introduced to enhance the power usage of subscribers. In order to generalize the proposed approach, Time varying electricity prices and different load levels are considered to provide accurate production planning of distributed generation resources and electrical vehicles in the real space of the electricity network. The inherent complexity of the distribution feeder reconfiguration problem has made the presentation of solution techniques a topic of ongoing research. Therefore, a hybrid improved particle swarm optimization -artificial bee colony optimization algorithm has been presented to alleviate the complexities of the optimization problem. The resented method is tested on the 95-bus system and a comparison is drawn between its outcomes and that of other methods including particle swarm optimization, artificial bee colony optimization and enhanced gravitational search. The review of the results manifests that the proposed method is superior to other evolutionary algorithms.

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A Case Study on Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise: Utilizing Artificial Intelligence Techniques to Design an Effective Active Suspension System

Cited by 14 publications

References 19 publications

Stabilization of Two Electricity Generators

Stabilization of Two Electricity Generators

Applied Mechatronics: Designing a Sliding Mode Controller for Active Suspension System

Optimal reconfiguration of distribution network feeders considering electrical vehicles and distributed generators

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