Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering最新文献_第2页

H∞ preview control for a class of continuous-time system with actuator saturation 一类具有执行器饱和的连续时间系统的 H∞ 预览控制

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-08-03 DOI: 10.1177/09596518241267018

Jiang Wu, Yingxin Wang, Denggui Fan, Hao Xie, Li Li, Yao Zou

引用次数: 0

A charge dynamics model for state-of-charge estimation by Kalman filter and lithium-ion battery parameters observation in real-vehicle 利用卡尔曼滤波和锂离子电池参数观测来估计真实车辆充电状态的充电动力学模型

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-08-03 DOI: 10.1177/09596518241263022

Lin He, Guangwei Yin, Renjie Pan, Guoqiang Wang, Jichao Liu, Wenshan Zhou

{"title":"A charge dynamics model for state-of-charge estimation by Kalman filter and lithium-ion battery parameters observation in real-vehicle","authors":"Lin He, Guangwei Yin, Renjie Pan, Guoqiang Wang, Jichao Liu, Wenshan Zhou","doi":"10.1177/09596518241263022","DOIUrl":"https://doi.org/10.1177/09596518241263022","url":null,"abstract":"State-of-charge estimation by Kalman filter requires a linear dynamics model of lithium-ion battery. This is particularly challenging for formulating a battery dynamics model by a set of linear differential equations, for which battery dynamic characteristics are nonlinear. While much of the research on battery dynamics models has focused on linearizing the battery model by some mathematical methods, comparatively little is known about how to directly model a linear differential equation containing some nonlinear characteristics. In this article, we are trying to build a linear charge dynamics model that consists of equivalent circuit model and voltage charge characteristics, based on which a Kalman filter is designed for state-of-charge estimation. The designed approach is deployed in a battery electric vehicle for some validations. According to some experimental results, it can be concluded that the charge dynamics model of lithium-ion battery is a good linear model for direct application of Kalman filter.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141933526","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

Distributed event-triggered cooperative saturation control for nonlinear multi-agent systems with time-delay and output constraint 具有时间延迟和输出约束的非线性多代理系统的分布式事件触发合作饱和控制

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-08-03 DOI: 10.1177/09596518241262063

Beibei Tian, Qi Liu, Chenxu Luo, Junfa Leng, Shuangxi Jing

引用次数: 0

Nonsingular robust geometric attitude control based on fictitious tracking state 基于虚构跟踪状态的非奇异稳健几何姿态控制

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-08-02 DOI: 10.1177/09596518241266662

Hanbing Zhang, Zeyang Yin, Caisheng Wei

引用次数: 0

Output feedback based PD-type iterative learning fault-tolerant control for uncertain discrete systems with actuator faults 基于输出反馈的 PD 型迭代学习容错控制，适用于有执行器故障的不确定离散系统

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-08-02 DOI: 10.1177/09596518241263003

Yanxia Shen, Wei Zou, Lei Wang

引用次数: 0

Novel scheme for uncertainty and disturbance estimation to control of spacecraft system with input constraint 不确定性和干扰估计的新方案，用于控制有输入约束的航天器系统

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-07-31 DOI: 10.1177/09596518241263371

Somayeh Jamshidi, Mehdi Mirzaei

{"title":"Novel scheme for uncertainty and disturbance estimation to control of spacecraft system with input constraint","authors":"Somayeh Jamshidi, Mehdi Mirzaei","doi":"10.1177/09596518241263371","DOIUrl":"https://doi.org/10.1177/09596518241263371","url":null,"abstract":"In this paper, a novel scheme is presented to estimate the uncertainty and disturbance of the spacecraft system by a compensatory vector calculated online from the information of measured angular velocities. The compensatory vector is used in the constrained attitude control law to compensate for the perturbations of the spacecraft system. The attitude controller considering the input limitations of reaction wheels is developed by solving an optimization problem through the Karush-Kuhn-Tucker (KKT) theorem. By using noisy angular velocities in the observer design, the stochastic stability of the closed loop system under the constrained multivariable controller is demonstrated. In the results, at first, the open-loop performance of the uncertainty and disturbance observer is evaluated through computer simulations. Subsequently, the performance of the proposed controller in both constrained and unconstrained versions is evaluated. Finally, the proposed controller performance in compensating for uncertainties and disturbances is compared with the adaptive backstepping controller reported in the literature. The comparative results of two controllers show the superior performance for the proposed constrained controller in the presence of disturbances, uncertainties and input constraints. Furthermore, the proposed control system could attenuate the effect of measurement noises of angular velocities by weighting the compensatory vector in the observer design.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863064","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

Interacting multiple model-based yaw stability control for distributed drive electric vehicle via adaptive model predictive control algorithm 通过自适应模型预测控制算法为分布式驱动电动汽车实现基于多个模型的交互式偏航稳定性控制

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-07-31 DOI: 10.1177/09596518241263537

Taiyou Liu, Xiaowei Wang, Guang Li, Wenfeng Li, Zhengchao Xie, Pak Kin Wong, Jing Zhao

{"title":"Interacting multiple model-based yaw stability control for distributed drive electric vehicle via adaptive model predictive control algorithm","authors":"Taiyou Liu, Xiaowei Wang, Guang Li, Wenfeng Li, Zhengchao Xie, Pak Kin Wong, Jing Zhao","doi":"10.1177/09596518241263537","DOIUrl":"https://doi.org/10.1177/09596518241263537","url":null,"abstract":"The vehicle lateral stability control is a challenging problem due to the tire nonlinearity and the immeasurable sideslip angle. Thus, an adaptive model predictive control (AMPC) scheme based on interacting multiple model (IMM) vehicle sideslip angle observer is proposed in this paper. First, the observer is composed of the Extended Kalman filter (EKF) and the Unscented Kalman filter (UKF), which improves the real-time performance as well as the observation accuracy. Then, a multi-objective controller based on adaptive vehicle model prediction is designed using model predictive control algorithm. This controller aims to achieve a balance between the actuation and state constraints. The T-S fuzzy algorithm is used to observe the tire cornering stiffness and design an adaptive vehicle model. By utilizing the appropriate objective function and a quadratic programing solver, the controller output is obtained to achieve vehicle stability control. Finally, the effectiveness of the designed AMPC scheme under various working conditions is verified by Carsim-Simulink joint simulation platform and hardware-in-the-loop (HIL) test.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863061","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

The PID high-type controller based on LQR and model-assisted LESO 基于 LQR 和模型辅助 LESO 的 PID 高级控制器

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-07-29 DOI: 10.1177/09596518241263538

Chao Liu, XiaoXia Qiu, Yao Mao

{"title":"The PID high-type controller based on LQR and model-assisted LESO","authors":"Chao Liu, XiaoXia Qiu, Yao Mao","doi":"10.1177/09596518241263538","DOIUrl":"https://doi.org/10.1177/09596518241263538","url":null,"abstract":"The work described in this paper proposes a PID high-type controller turning via Linear Quadratic Regulator (LQR) approach and pole-placement technique to level up dynamic response performance and disturbance suppression ability of the system. Meanwhile, considering the influence of the modeling error and uncertain disturbance on the stability of the control system, this paper extends the design method of the Linear Extended State Observer (LESO) to PID high-type control loop. In this paper, the tuning rule of PID high-type controller parameters without delay factor and the tuning rule of PID high-type controller parameters with delay factor are given. Finally, the simulation analysis and experimental results show that performance of the PID high-type controller are superior to the PD controller in traditional LESO and the PID type-i controller. Specifically, the system under the PID high-type controller not only eliminates the high-order steady-state error, but also can achieve high-precision tracking when the reference signal changes quickly. Meanwhile, disturbance suppression ability of the system and the dynamic response performance of the system such as rise time, settling time are significantly improved.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862977","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

Highly efficient maximum-likelihood identification methods for bilinear systems with colored noises 具有彩色噪声的双线性系统的高效最大似然识别方法

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-07-27 DOI: 10.1177/09596518241256145

Meihang Li, Ximei Liu, Yamin Fan, Feng Ding

{"title":"Highly efficient maximum-likelihood identification methods for bilinear systems with colored noises","authors":"Meihang Li, Ximei Liu, Yamin Fan, Feng Ding","doi":"10.1177/09596518241256145","DOIUrl":"https://doi.org/10.1177/09596518241256145","url":null,"abstract":"This paper mainly discussed the highly efficient iterative identification methods for bilinear systems with autoregressive moving average noise. Firstly, the input-output representation of the bilinear systems is derived through eliminating the unknown state variables in the model. Then based on the maximum-likelihood principle, a maximum-likelihood gradient-based iterative (ML-GI) algorithm is proposed to identify the parameters of the bilinear systems with colored noises. For improving the computational efficiency, the original identification model is divided into three sub-identification models with smaller dimensions and fewer parameters, and a hierarchical maximum-likelihood gradient-based iterative (H-ML-GI) algorithm is derived by using the hierarchical identification principle. A gradient-based iterative (GI) algorithm is given for comparison. Finally, the algorithms are verified by a simulation example and a practical continuous stirred tank reactor (CSTR) example. The results show that the proposed algorithms are effective for identifying bilinear systems with colored noises and the H-ML-GI algorithm has a higher computational efficiency and a faster convergence rate than the ML-GI algorithm and the GI algorithm.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863071","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

Robust finite frequency control for MRF damper-based semi-active suspension systems subject to time delay and hysteresis nonlinearity 基于 MRF 阻尼器的半主动悬架系统的鲁棒有限频率控制，受时间延迟和滞后非线性影响

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-07-25 DOI: 10.1177/09596518241262502

Mengqi Deng, Pak Kin Wong, Zhijiang Gao, Xinbo Ma, Jing Zhao

{"title":"Robust finite frequency control for MRF damper-based semi-active suspension systems subject to time delay and hysteresis nonlinearity","authors":"Mengqi Deng, Pak Kin Wong, Zhijiang Gao, Xinbo Ma, Jing Zhao","doi":"10.1177/09596518241262502","DOIUrl":"https://doi.org/10.1177/09596518241262502","url":null,"abstract":"The magnetorheological fluid (MRF) semi-active suspension (SAS) is a crucial system for the absorption and the dissipation of vibration energy. However, the hysteresis nonlinearity of the MRF actuator is difficult to tackle in the control design of the MRF-SAS system. A novel robust finite frequency control strategy based on a Taylor approximation is proposed in this work to improve the vibration suppression of the MRF-SAS system with hysteresis nonlinearity. First, a hyperbolic tangent model is introduced to represent the nonlinear dynamic characteristics of the MRF damper, and then the modified Taylor expansion is adopted to approximate the hyperbolic tangent model. Moreover, an online sequential extreme learning machine (ELM) is employed to construct the inverse model of the MRF damper. Finally, to trade off vehicle handling stability and ride comfort, the robust finite frequency controller is designed based on the linear matrix inequations (LMIs) with the consideration of the time delay, the control perturbation, and the actuator saturation. It can be seen from the simulation results that the proposed robust finite frequency controller is more effective in improving vibration suppression of the MRF-SAS system than the skyhook controller.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141781597","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