Asian Journal of Control最新文献

Adaptive MIMO sliding mode control for enhanced vehicle stability with coordinated AFS and DYC systems 自适应MIMO滑模控制与协调的AFS和DYC系统增强车辆稳定性

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2025-05-14 DOI: 10.1002/asjc.3695

Ebrahim Muhammad, Vahid Behnamgol, Ahmadreza Vali, Abdoreza Kashaninia, Mohammad Mirzaei

{"title":"Adaptive MIMO sliding mode control for enhanced vehicle stability with coordinated AFS and DYC systems","authors":"Ebrahim Muhammad, Vahid Behnamgol, Ahmadreza Vali, Abdoreza Kashaninia, Mohammad Mirzaei","doi":"10.1002/asjc.3695","DOIUrl":"https://doi.org/10.1002/asjc.3695","url":null,"abstract":"This paper presents an Adaptive MIMO Sliding Mode Control (AMSMC) strategy for coordinating Active Front Steering (AFS) and Direct Yaw Control (DYC) systems to enhance vehicle stability and handling under uncertain conditions. Traditional Single Input Single Output (SISO) models fail to capture the complex interactions and nonlinearities inherent in vehicle dynamics, leading to suboptimal performance. The proposed method addresses these limitations by utilizing a Multiple Input Multiple Output (MIMO) framework, which accurately models the nonlinear interactions between AFS and DYC systems. Additionally, the method introduces a dynamic coefficient in the sliding mode control, enabling real-time adaptation to unknown uncertainties and enhancing robustness. The slip angle is estimated by an observer and a first-order delay is introduced into the lateral forces modeling to improve the accuracy of vehicle dynamics representation. The stability of the closed-loop system is further validated using the Lyapunov method. The performance of the proposed controller is evaluated considering the coefficient of road tire friction and parametric uncertainties in vehicle parameters, such as total mass, moment of inertia, and tire stiffness. The efficacy of this method has been rigorously confirmed through MATLAB simulations using a nonlinear 8-DOF vehicle model, which includes parameter uncertainties to ensure the control strategy's resilience to varying road conditions. The simulation results demonstrate significant improvements in the vehicle's stability and handling performance across a variety of driving maneuvers.","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"27 3","pages":"1442-1454"},"PeriodicalIF":2.7,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sampled-data enhanced extended state observer-based dynamic event-triggered tracking control for perturbed networked systems 基于采样数据增强扩展状态观测器的扰动网络系统动态事件触发跟踪控制

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2025-04-10 DOI: 10.1002/asjc.3666

Bo Qin, Huaicheng Yan, Yifan Shi, Yufang Chang, Youmin Zhang

引用次数: 0

Special issue on “Control and optimization methods on rehabilitation and assistive robotics” “康复与辅助机器人控制与优化方法”特刊

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2025-01-20 DOI: 10.1002/asjc.3570

Jenq-Lang Wu, Ti-Chung Lee

引用次数: 0

Special issue on “The 13th Asian Control Conference” “第十三届亚洲管制会议”特刊

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2025-01-20 DOI: 10.1002/asjc.3571

Hyungbo Shim, Juhoon Back, Ayoung Hong, Seung Jae Lee, Gyunghoon Park

引用次数: 0

A novel looped functional for stability analysis of asynchronous sampled-data systems 一种新的用于异步采样数据系统稳定性分析的循环函数

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2024-11-24 DOI: 10.1002/asjc.3547

JunMin Park, Seok Young Lee

引用次数: 0

Adaptive neural hierarchical sliding mode control for uncertain switched underactuated nonlinear systems against unmodeled dynamics and input delay 不确定切换欠驱动非线性系统抗未建模动力学和输入延迟的自适应神经递阶滑模控制

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2024-11-14 DOI: 10.1002/asjc.3528

Shanlin Liu, Ning Zhao, Liang Zhang, Ning Xu

{"title":"Adaptive neural hierarchical sliding mode control for uncertain switched underactuated nonlinear systems against unmodeled dynamics and input delay","authors":"Shanlin Liu, Ning Zhao, Liang Zhang, Ning Xu","doi":"10.1002/asjc.3528","DOIUrl":"https://doi.org/10.1002/asjc.3528","url":null,"abstract":"In this article, the issue of adaptive control for switched underactuated systems subject to input delay and unmodeled dynamics is investigated. Unlike traditional backstepping methods, this paper introduces a hierarchical sliding mode control (HSMC) approach that can improve the response rate and robustness of the controlled plant. Under the framework of this control method, a top hierarchical sliding mode surface (HSMS) containing all the information of state variables and an effective controller consisting of switching control laws and equivalent control laws are constructed. In the control design process, an auxiliary system and a hyperbolic tangent function are introduced to compensate for the impact of input delay while avoiding singularity problems. In addition, a dynamic signal is designed to compensate the effect of the unmodeled dynamics. The designed controller can ensure that all signals of the closed-loop system, including states of the auxiliary system, are bounded. Finally, the benefits of the proposed HSMC approach are confirmed by two simulation examples.","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"27 3","pages":"1552-1569"},"PeriodicalIF":2.7,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Linear parameter varying μ synthesis robust control of CDC semi-active suspension system for nonlinearity and uncertainty 非线性和不确定性CDC半主动悬架系统的线性变参数μ综合鲁棒控制

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2024-11-06 DOI: 10.1002/asjc.3520

Farong Kou, Shenglin Li, Xudong Yang

{"title":"Linear parameter varying μ synthesis robust control of CDC semi-active suspension system for nonlinearity and uncertainty","authors":"Farong Kou, Shenglin Li, Xudong Yang","doi":"10.1002/asjc.3520","DOIUrl":"https://doi.org/10.1002/asjc.3520","url":null,"abstract":"Because the continuous damping control (CDC) semi-active suspension system has complex nonlinear and uncertain characteristics that can significantly affect the performance of the system. And in the controller design process, achieving a balance of multiple performance objectives is often difficult. Therefore, this paper designs a linear parameter varying (LPV) μ synthesis robust controller for the vibration suppression and multi-objective control of a 7-degree-of-freedom (7-DOF) vehicle suspension system equipped with CDC dampers. Firstly, the nonlinear force model of the solenoid valve CDC damper is developed based on the actual damping variation. Considering the nonlinear forces of the coil springs, the nonlinear model of the 7-DOF suspension system is expressed as LPV form. Further, the linear fractional transformation (LFT) method is used to analyze and reconstruct the system model for multiple parameter uncertainties of the suspension. The actuator time delays are also simulated through a frequency domain transfer function, which is considered to be an unmodeled dynamic at the input of the system. Finally, an LPV-μ synthesis robust controller based on nonlinearity and mixed uncertainty is designed to improve car ride comfort and achieve the best relationship between comfort and handling stability. Simulation and experimental results under random disturbance conditions show that the LPV-μ synthesis controller has better anti-jamming performance and controllability compared to the H∞ controller and μ synthesis controller.","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"27 3","pages":"1455-1478"},"PeriodicalIF":2.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prescribed-time distributed optimization for multi-agent system subject to inequality constraints 不等式约束下多智能体系统的规定时间分布式优化

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2024-11-06 DOI: 10.1002/asjc.3526

Xiao-Wen Zhao, Chen-An Zhou, Zhi-Wei Liu, Qiang Lai, Ming-Feng Ge

引用次数: 0

Stability analysis of aperiodic impulsive delay systems using sum of squares approach 用平方和方法分析非周期脉冲延迟系统的稳定性

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2024-10-28 DOI: 10.1002/asjc.3527

Jiangtao Qi, Yanhan Sun

引用次数: 0

Preview control for linear parameter-varying discrete-time systems using a linear fractional representation 用线性分数表示的线性变参数离散系统的预览控制

IF 2.7 4区计算机科学

Asian Journal of Control Pub Date : 2024-10-27 DOI: 10.1002/asjc.3525

Li Li, Yanrong Lu, Hui Ye

{"title":"Preview control for linear parameter-varying discrete-time systems using a linear fractional representation","authors":"Li Li, Yanrong Lu, Hui Ye","doi":"10.1002/asjc.3525","DOIUrl":"https://doi.org/10.1002/asjc.3525","url":null,"abstract":"In order to create a mixed tracking controller for discrete-time linear parameter-varying (LPV) systems, this work introduces a unique control strategy employing a linear fractional representation (LFR). Under the premise that the reference signal can be previewable, a design strategy for a controller with preview compensations is suggested. First, a preview tracking control issue is changed into a regulator problem by adding two additional linked auxiliary parameters into the initial system state/input, which further creates more enhanced error systems incorporating future information of reference signals. The suggested conditions then depend on utilizing slack variables with decision matrices related to the LFR approach in order to give innovative preview controller designs. We also construct reduced conservative synthesis situations by taking into account parameter-dependent Lyapunov functions and full-block multipliers. In order to create state-feedback and output-feedback preview tracking controllers, design requirements are characterized as linear matrix inequalities. Two simulation studies are completed as the last step to highlight how successful the suggested control strategy is.","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"27 3","pages":"1520-1529"},"PeriodicalIF":2.7,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0