H prescribed tracking performance-based fractional-order sliding mode control for disturbed discrete-time systems: an LMI approach DOI
Mohammad Soofi, Abolfazl Jalilvand, Hadi Delavari

и другие.

International Journal of Systems Science, Год журнала: 2024, Номер unknown, С. 1 - 17

Опубликована: Окт. 11, 2024

This paper presents a novel approach to the design of discrete-time Fractional-Order Sliding Mode Control (FSMC) system for Single Input Output (SISO) applications, utilising Autoregressive with exogenous input (ARX) method modelling. The proposed methodology emphasises Prescribed Performance (PPC) ensure minimal tracking errors through transformation based on specified performance function. A Quasi-Sliding (FQSMC) is subsequently developed maintain error within predetermined bounds, effectively addressing chattering phenomenon commonly associated traditional sliding mode control. integration fractional calculus enhances smoothness output while ensuring accurate tracking, making it ideal real-world applications. Additionally, Linear Matrix Inequality (LMI) observer introduced bolster system's resilience against uncertainties and disturbances without complicating computational process. effectiveness (PP-FQSMC) validated extensive MATLAB simulations experimental studies conducted Tank system. Results demonstrate that PP-FQSMC significantly outperforms methods, maximum 1.6 × 10−4 compared 0.2 PP-QSMC Root Mean Square Tracking Error (RMSTE) 1.3 10−3 1.2 PP-QSMC, strong stability. findings indicate controller mitigates in control signals maintaining smooth output. It showcases its potential practical applications environments characterised by model inaccuracies, time delays, external disturbances.

Язык: Английский

Dynamical Analysis and Sliding Mode Controller for the New 4D Chaotic Supply Chain Model Based on the Product Received by the Customer DOI Creative Commons
Muhamad Deni Johansyah, Sundarapandian Vaıdyanathan, Aceng Sambas

и другие.

Mathematics, Год журнала: 2024, Номер 12(13), С. 1938 - 1938

Опубликована: Июнь 22, 2024

Supply chains comprise various interconnected components like suppliers, manufacturers, distributors, retailers, and customers, each with unique variables interactions. Managing dynamic supply is highly challenging, particularly when considering sources of risk factors. This paper extensively explores dynamical analysis multistability to understand nonlinear behaviors pinpoint potential risks within chains. Different phase portraits are used demonstrate the impact factors such as transportation risk, quality distortion, contingency reserves, safety stock on both customers retailers. We introduced a sliding mode control method that computes surface its derivative by error derivative. The equivalent law based derived validated for purposes. Our results show controller SMC can significantly enhance chain stability efficiency. research provides robust framework understanding complex dynamics offers practical solutions resilience flexibility.

Язык: Английский

Процитировано

3

Dynamically optimized fixed‐time fast terminal sliding surface design for manipulator trajectory tracking DOI
Dan Li, Yang Cui, Ming Chen

и другие.

Asian Journal of Control, Год журнала: 2025, Номер unknown

Опубликована: Май 13, 2025

Abstract The paper focuses on the issue of trajectory tracking control multijoint manipulators with unknown disturbance terms. Firstly, for external disturbances and modeling uncertainties controlled manipulator system, an adaptive sliding mode observer is designed. estimated results are used in subsequent controller design to eliminate influence system stability. Secondly, improved fast terminal surface proposed solve singular problem. Meanwhile, double power reaching law arctangent function introduced reduce amplitude frequency chattering. Theoretical analysis demonstrates that achieves accurate estimation while dynamically optimized ensures convergence within a fixed time. Finally, presented scheme verified by numerical simulation example two‐joint manipulator.

Язык: Английский

Процитировано

0

Radial basis function neural network based data-driven iterative learning consensus tracking for unknown multi-agent systems DOI
Kechao Xu, Bo Meng, Zhen Wang

и другие.

Applied Soft Computing, Год журнала: 2024, Номер 167, С. 112425 - 112425

Опубликована: Ноя. 5, 2024

Язык: Английский

Процитировано

1

Adaptive passive fault tolerant control of DFIG-based wind turbine using a self-tuning fractional integral sliding mode control DOI Creative Commons

Imene Bouguettah,

Manal Messadi, Karim Kemih

и другие.

Frontiers in Energy Research, Год журнала: 2024, Номер 12

Опубликована: Авг. 20, 2024

Controlling variable wind speed turbine (VWT) system based on a doubly-fed induction generator (DFIG) is challenging task. It requires control law that both adaptable and robust enough to handle the complex dynamics of closed loop system. Sliding mode (SMC) technology has shown good performance when employed as passive fault-tolerant for energy systems. To improve VWT DFIG with aim improving efficiency, even in presence nonlinearities certain range bounded parametric uncertainties, whether electrically or mechanically, an adaptive fault tolerant (AP-FTC) self-tuning fractional integral sliding (ST-FISMC) developed from novel hyperbolic surface proposed this paper. ST-FISMC introduces nonlinear function into manifold adaptation law, while smooths discontinuous sign reduce chattering. Additionally, work observer, proved chosen Lyapunov function. This observer designed estimate variations electrical parameters stator flux, ensuring sensorless decoupling indirect field- oriented (SI-FOC) DFIG. theory also used prove stability states vectors uncertainties external disturbances. Simulation results show approach offers better capturing optimal energy, well ability regulate active/reactive power high resilience occurring parameter

Язык: Английский

Процитировано

0

H prescribed tracking performance-based fractional-order sliding mode control for disturbed discrete-time systems: an LMI approach DOI
Mohammad Soofi, Abolfazl Jalilvand, Hadi Delavari

и другие.

International Journal of Systems Science, Год журнала: 2024, Номер unknown, С. 1 - 17

Опубликована: Окт. 11, 2024

This paper presents a novel approach to the design of discrete-time Fractional-Order Sliding Mode Control (FSMC) system for Single Input Output (SISO) applications, utilising Autoregressive with exogenous input (ARX) method modelling. The proposed methodology emphasises Prescribed Performance (PPC) ensure minimal tracking errors through transformation based on specified performance function. A Quasi-Sliding (FQSMC) is subsequently developed maintain error within predetermined bounds, effectively addressing chattering phenomenon commonly associated traditional sliding mode control. integration fractional calculus enhances smoothness output while ensuring accurate tracking, making it ideal real-world applications. Additionally, Linear Matrix Inequality (LMI) observer introduced bolster system's resilience against uncertainties and disturbances without complicating computational process. effectiveness (PP-FQSMC) validated extensive MATLAB simulations experimental studies conducted Tank system. Results demonstrate that PP-FQSMC significantly outperforms methods, maximum 1.6 × 10−4 compared 0.2 PP-QSMC Root Mean Square Tracking Error (RMSTE) 1.3 10−3 1.2 PP-QSMC, strong stability. findings indicate controller mitigates in control signals maintaining smooth output. It showcases its potential practical applications environments characterised by model inaccuracies, time delays, external disturbances.

Язык: Английский

Процитировано

0