An Approach for Optimizing the Hedge-Algebras-Based Controller and Application in Structural Vibration Control

Bui, Hai-Le

doi:10.1007/978-3-031-22200-9_17

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…62 BCMO is a swarm-based optimization algorithm that does not require algorithm parameters, has high computational efficiency and has a fast convergence. 52,57,62,63 The constraints in optimizing the controllers for the two above active suspension models are set up by the authors themselves in MATLAB software.…”

Section: Hacmentioning

confidence: 99%

“…In the field of mechanics, hedge-algebras-based controllers (HACs) have been used to control inverted pendulum systems, 46,47 models of high-rise buildings subjected to earthquake loads, [48][49][50][51][52][53][54][55] and industrial robots. 56,57 The results of this study show that the HACs exposed many advantages compared to fuzzyset-based controllers, such as more straightforward design and optimization, higher effectiveness in operation and much faster time in computation.…”

Section: Introductionmentioning

confidence: 99%

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Optimal design of hedge-algebras–based controller for vibration control of vehicle suspension systems

Mac,

Nguyen,

Bui

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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This study aims to investigate an optimal design problem for vibration control of vehicle suspension models for reducing dynamic responses of the systems. The controller is constructed and optimized based on the approach of the hedge-algebras theory. Optimized parameters include fuzziness measures and reference ranges of state and control variables. Objective functions are considered to minimize the car body vibration and other essential objectives. Initial and optimized controllers have validated their stability through a newly proposed method using rule surfaces of the hedge-algebras–based controller. The controllers based on hedge-algebras theory have higher performance than controllers in previous publications and ensure the system stability and robustness to changes in the car body and wheel masses. The optimal approach in the present work allows determining values of design variables that are appropriate for the controlled models instead of using a trial–error method to evaluate these variables. In addition, the proposed approach to test the system stability allows simplifying this task for controllers using hedge-algebras theory.

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