An Optimal PSO-Based Fuzzy Controller for a Nonlinear System

Saidi, Khayreddine; Boumédiène, Abdelmadjid; Boubekeur, Diamila; Massoum, Sarra

doi:10.1109/ssd54932.2022.9955972

Cited by 4 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A robust control algorithm was developed by [54] to tackle the issues because of the non-linear dynamics of a system, variable states, and input delays. Later one may study an optimied nonlinear SMC as well that has been proposed by [55] for a twolink robot manipulator and has ben successful in removing the Zeno effect.…”

Section: B Dual-linkmentioning

confidence: 99%

In-Depth Review of Advanced Control Strategies and Cutting-Edge Trends in Robot Manipulators: Analyzing the Latest Developments and Techniques

Abdelmaksoud,

Al-Mola,

Abro

et al. 2024

IEEE Access

View full text Add to dashboard Cite

It is undeniable that the development of robot manipulators has gained significant attention due to its numerous applications in various sectors. In order to address and resolve several issues for robotic manipulators, this paper provides a review of recent control approaches that have been conducted. In the beginning, a succinct comprehensive introduction of the pertinent terminology, configurations, components, advantages/disadvantages, and applications is given. A state-of-the-art review of the various control strategies for robotic manipulator systems is then presented, along with potential solutions when the systems are faced with various obstacles and impediments. An analytical study is discussed showing percentages of the papers discussed in this study in terms of the different control strategies, link types, models, applications, and degrees of freedom of robotic manipulators. For academic, research, medical, and industrial uses, some off-the-shelf developments in robotic manipulators are also presented.

show abstract

Section: B Dual-linkmentioning

confidence: 99%

In-Depth Review of Advanced Control Strategies and Cutting-Edge Trends in Robot Manipulators: Analyzing the Latest Developments and Techniques

Abdelmaksoud,

Al-Mola,

Abro

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The Newton methods and gradient search methods are examples of classical techniques. On the other hand, there are metaheuristic techniques like tabu search, hill-climbing search, ROA, WOA, GA [12], simulated annealing, scatter search, ACO, PSO [13] and much more.…”

Section: Introductionmentioning

confidence: 99%

An Optimal GA-Based Backstepping Control Scheme for a MIMO Nonlinear System

Saidi¹,

Boumédiène²,

Boubekeur³

2023

JESA

View full text Add to dashboard Cite

In the presence of external disturbances, a backstepping control scheme based a genetic algorithm (GA) is built with the objective of tracking a desired trajectory of robot manipulators. The nonlinear-coupled higher order dynamic model of an n-link robot manipulator is first briefly presented. Then, a traditional backstepping control system (BSC) creates a two-link robotic manipulator position tracking control. Furthermore, a mix of nonlinear control and artificial intelligence is suggested for manipulator robot control. To determine the optimal control parameters, the backstepping controller is combined with the genetic algorithm, a metaheuristics-based optimization technique. The effectiveness of the suggested optimal control strategy based on backstepping approach and GA in trajectory tracking problems, such as a good angle tracking and a good disturbance rejection capability, is demonstrated by numerical simulations using the dynamic model of a two-link planar rigid robot manipulator.

show abstract

“…The literature is currently available and covers a wide range of control schemes. These include classical control laws [2,3], more advanced algorithms such as nonlinear control [4,5], fuzzy logic control [6][7][8][9], sliding mode control [10][11][12][13], backstepping control [14][15][16], and 𝐻∞ control [17,18]. Each of these strategies offers its own benefits and has been explored in various studies to optimize the performance of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Linear and Nonlinear H-Infinity Control for an Electric Vehicle

Oudjama,

Boumediene,

Saidi

et al. 2023

JESA

View full text Add to dashboard Cite

Permanent magnet synchronous motor-powered electric vehicles control is the subject of various research work. However, their global dynamic models are nonlinear and coupled. Therefore, to achieve efficient operation, an effective control system is crucial. In this study, we propose and compare linear H-Infinity and Galerkin approximation approach for Nonlinear H-Infinity control strategies to improve the durability and performance of post-driven speed in electric vehicles. In the case of linear systems, the linear H-Infinity controller is found by solving the algebraic equation known as the Riccati equation. On the other hand, the control problem based nonlinear H-Infinity poses challenges because it involves solving a nonlinear partial differential equation known as name of the Hamilton-Jacobi-Isaacs equation, which is difficult or even impossible to solve by using analytical methods. In these situations, the Galerkin approximation approach provides an approximation to the Hamilton-Jacobi equation solution. In order to evaluate the performance of Galerkin approximation approach and linear H-Infinity controllers, electric vehicle feedback simulations will be conducted, taking into account different constraints. The goal is to ensure efficient operation in different situations. The results demonstrate that the Galerkin approximation Approach for nonlinear H-Infinity controller reveals a similar performance and durability as the H-Infinity controller, and stands out for its ability to optimize the control system performance of the EV, providing a faster response, reducing undesirable ripples, and enhancing overall stability and precision. Generally, this comparative study brings to light the effectiveness of linear and Galerkin approximations for H-Infinity control in permanent magnet synchronous motor-powered electric vehicles. The results contribute to the advancement of control strategies and provide valuable information for the conception and employment of efficient electric vehicle control systems.

show abstract

An Optimal PSO-Based Fuzzy Controller for a Nonlinear System

Cited by 4 publications

References 12 publications

In-Depth Review of Advanced Control Strategies and Cutting-Edge Trends in Robot Manipulators: Analyzing the Latest Developments and Techniques

In-Depth Review of Advanced Control Strategies and Cutting-Edge Trends in Robot Manipulators: Analyzing the Latest Developments and Techniques

An Optimal GA-Based Backstepping Control Scheme for a MIMO Nonlinear System

Comparative Study of Linear and Nonlinear H-Infinity Control for an Electric Vehicle

Contact Info

Product

Resources

About