检索结果-内蒙古大学图书馆

Robust Real-Time Shipboard Energy Management System With Improved adaptive model predictive control

IEEE ACCESS 2023年 11卷 110342-110360页

作者： Chen, Wenjie Tai, Kang Lau, Michael Wai Shing Abdelhakim, Ahmed Chan, Ricky R. Adnanes, Alf Kare Tjahjowidodo, Tegoeh ABB Pte Ltd Singapore 139935 Singapore Nanyang Technol Univ Sch Mech & Aerosp Engn Singapore 639798 Singapore Newcastle Univ Int Singapore Sch Mech & Syst Engn Singapore 567739 Singapore Epiroc Rock Drills AB S-70191 Orebro Sweden ABB Grp Marine & Ports Helsinki 00980 Finland ABB Grp Marine & Ports Shanghai 201319 Peoples R China Katholieke Univ Leuven Dept Mech Engn De Nayer Campus B-2860 St Katelijne Waver Belgium

The electrified hybrid shipboard power system with high-level integration of renewable energy resources and energy storage system has become the new trend for the all-electric ship (AES) configuration. However, the traditional rule-based energy management system (EMS) is not able to fulfill the increasingly complex control requirements, and a more advanced EMS control algorithm is required to handle the multiple power sources and even achieve optimal energy management control. This paper proposes a supervisory-level EMS with an improved adaptive model predictive control (AMPC) strategy to optimize the power split among the hybrid power sources and to reduce the total cost of ownership (TCO) of vessel operation, which considers not only the fuel and emission costs but also the power source degradation. In order to achieve real-time implementation, the AMPC-based EMS software has been developed and deployed to a programmable logic controller (PLC) hardware. The prototyping controller verification tests have been performed with a hybrid fuel cell-fed shipboard power system hardware-in-the-loop (HIL) plant in the lab environment. Three typical tugboat load profiles with power fluctuations are implemented as case studies. Lastly, a cost study was performed to compute the economic benefits for a ten-year long-term vessel operational cycle. The proposed AMPC-based EMS is robust and effective, which can achieve up to 12.19% TCO savings compared to those of a traditional rule-based control strategy.

关键词： All-electric ship hybrid shipboard power microgrid adaptive model predictive control energy management control system

来源：评论

学校读者我要写书评

暂无评论

Concerted voltage frequency control and superconducting magnetic energy storage operation using optimal adaptive model predictive control for improved frequency response of power system

引用

OPTIMAL control APPLICATIONS & METHODS 2023年第4期44卷 2166-2184页

作者： Syed, Asima Ahsan, Hailiya Mufti, Mairaj-Ud Din Kumar, Abdul Waheed Natl Inst Technol Dept Elect Engn Srinagar India Natl Inst Technol Dept Elect Engn Srinagar 190006 J&K India

Active power equilibrium is analogous to frequency control. A hypothesis of maintaining this balance with voltage regulation is slightly less instinctive, notwithstanding the contribution it can make to the overall stability of the power system. This idea in synergism with the utilization of superconducting magnetic energy storage (SMES) technology in a colossal multi-machine power network, is exercised in this paper. The main focus of this work is to make a small-rated SMES more providential in large power systems with the aid of voltage frequency control (VFC). This study proposes an adaptive model predictive control (AMPC) equipped small capacity SMES as well as VFC operation, to ensure load frequency control of a wind power penetrated system. While assuming the plant as an autoregressive discrete mode system with exogenous input, the determination of both the plant model and controller parameters are effectuated online using a recursive least squares (RLS) identification algorithm. Detailed mathematical modeling of SMES is presented in addition to the discrete mode automatic generation control (d-AGC) and governor dead band non-linearity at the synchronous power source ends. A compact doubly fed induction generator (DFIG) model architecture harmonizing the maximum power point tracking (MPPT) mode using the standard two-dimensional look-up table with turbine characteristics is also discussed. Simulations in MATLAB/Simulink domain reveals a percentage improvement of 82.6% in the frequency nadir under load disturbance with the proposed VFC-SMES scheme. Furthermore, an average percentage improvement of 82% in peak frequency deviations under turbulent wind scenario is attained. These results are validated in real-time, employing the real-time digital simulator OPAL-RT (OP4510).

关键词： adaptive model predictive control automatic generation control superconducting magnetic energy storage voltage frequency control wind generation

来源：评论

学校读者我要写书评

暂无评论

A layered roll stability control strategy for commercial vehicles based on adaptive model predictive control

引用

VEHICLE SYSTEM DYNAMICS 2023年第12期61卷 3067-3088页

作者： Zhou, Chenyu Yu, Liangyao Li, Yong Lu, Zhenghong Song, Jian Beijing Inst Technol Sch Aerosp Engn Beijing Peoples R China Tsinghua Univ Sch Vehicle & Mobil State Key Lab Automot Safety & Energy Beijing Peoples R China

Due to the high centre of mass, commercial vehicles are prone to ultimate rollover under extreme steering conditions. The rollover of commercial vehicles leads to serious traffic accidents and poses a threat to road traffic. In this paper, the mechanism of vehicle rollover is revealed by static equilibrium and phase plane analysis. Meanwhile, a robust roll angle observer is designed by combining Kalman filter and sliding mode observation. Considering the influence of wheel lifting on roll dynamics, a novel layered control strategy is proposed by employing engine torque limit, differential braking and active front-wheel steering. Moreover, the layered control of roll stability is realised by adaptive model predictive control with time-varying weights and constraints. To verify the validity and reliability of the proposed algorithm, the hardware-in-loop tests under typical driving conditions have been carried out. The results show that the proposed method can effectively restrain the divergence of roll state and prevent vehicle rollover.

关键词： Roll stability control roll angle estimation layered control strategy adaptive model predictive control chassis by-wire control

来源：评论

学校读者我要写书评

暂无评论

Convergence guarantees for adaptive model predictive control with kinky inference 6

Convergence guarantees for adaptive model predictive control...

引用

6th Annual Learning for Dynamics and control Conference

作者： Zuliani, Riccardo Soloperto, Raffaele Lygeros, John Swiss Fed Inst Technol Automat Control Lab Zurich Switzerland

We analyze the convergence properties of a robust adaptive model predictive control algorithm used to control an unknown nonlinear system. We show that by employing a standard quadratic stabilizing cost function, and by recursively updating the nominal model through kinky inference, the resulting controller ensures convergence of the true system to the origin, despite the presence of model uncertainty. We illustrate our theoretical findings through a numerical simulation.

关键词： adaptive model predictive control adaptive control kinky inference

来源：评论

学校读者我要写书评

暂无评论

Attitude control of Airbag Isolation System Based on adaptive model predictive control 7

Attitude Control of Airbag Isolation System Based on Adaptiv...

引用

7th International Conference on Mechatronics, Robotics and Automation

作者： He, Hanyan Xu, Wenxia Yu, Baocheng Tang, Zhiqiang Zhu, Sanbao Cao, Chen Wuhan Inst Technol Wuhan Peoples R China

ISBN: (纸本)9798350352481;9798350352474

The air bag vibration isolation device has an important application in ship vibration and noise reduction. However, traditional fuzzy control has problems such as slow response and low accuracy when dealing with complex environments and multi-variable coupling. In this paper, a new method based on adaptive model predictive control (AMPC) is proposed to improve the attitude control performance of the airbag isolation system. Firstly, the system is modeled and a discrete-time state space model is established. By dynamically adjusting the model parameters, the future state of the system is accurately predicted. Then, a rolling optimization MPC controller was designed to select the optimal airbag for inflating and deflating operations by using the real-time collected pressure and displacement data, so as to realize the precise control of the attitude. Experimental results show that compared with the traditional fuzzy control method, the control algorithm based on AMPC shows significant advantages in control accuracy, response speed and pressure balance. This study provides a new technical approach for the efficient control of the air bag vibration isolation system, and lays a foundation for the application of more complex ship vibration and noise reduction system in the future.

关键词： Air bag vibration isolation system Attitude control adaptive model predictive control Dynamic optimization Rolling optimization

来源：评论

学校读者我要写书评

暂无评论

An adaptive model predictive control for Unmanned Underwater Vehicles Subject to External Disturbances and Measurement Noise 14

An Adaptive Model Predictive Control for Unmanned Underwater...

引用

14th Asian control Conference (ASCC)

作者： Lo, Li-Yu Hu, Yang Li, Boyang Wen, Chih-Yung Yang, Yefeng Hong Kong Polytech Univ Dept Aeronaut & Aviat Engn AIRo LAB Kowloon Hong Kong Peoples R China Univ Newcastle Sch Engn Callaghan NSW 2308 Australia

ISBN: (纸本)9798331540845;9789887581598

This research addresses the trajectory tracking problem of an unmanned underwater vehicle (UUV) within 4 degrees of freedom (DOF) subject to external disturbances and measurement noise. An adaptive control framework consisting of an adaptive model predictive control (MPC) and an error-state extended state observer (ESESO) is proposed. The MPC is utilized to stabilize the system while the ESESO is proposed to estimate the disturbances. In contrast to most conventional ESOs, we explicitly formulate a sensor-fusion problem by tracking the error state of the observer. The ESESO feeds back the filtered state and the estimated lump disturbances to the MPC to achieve the adaptability of the closed-loop system. Sufficient simulation via a semi-physical experiment is conducted to validate the effectiveness and superiority of the proposed control framework.

关键词： Unmanned Underwater Vehicles Trajectory Tracking Error-State Extended State Observer adaptive model predictive control

来源：评论

学校读者我要写书评

暂无评论

adaptive model predictive control for Frequency control for Two Area Interconnected Power System

Adaptive Model Predictive Control for Frequency Control for ...

引用

Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern-Recognition-Association of South Africa (SAUPEC/RobMech/PRASA)

作者： Uyioghosa, Igbineweka Ernest Saha, Akshay Kumar Univ KwaZulu Natal Discipline Elect Elect & Comp Engn Durban South Africa

ISBN: (纸本)9781665403450

Reliability in of importance in load frequency control (LFC) in modern power generation, In LFC scheme, local load disturbance, inter-area ties power fluctuation, frequency deviation, and generation rate constraints (GRC), are the major nonlinear factors on the control scheme that affect the dynamic response of the system. In this paper, two-area hydro-thermal interconnected power system (IPS) is used to develop an adaptive model predictive control (AMPC) as a controller scheme for LFC scheme and compared with both robust distributed model predictive control (RDMPC) and proportional integral derivative (PID) controller, using MATLAB/Simulink, result shows that AMPC shows robustness over RDMPC and PID when compared in frequency deviation, area control error (ACE) and tie-line active power deviations.

关键词： adaptive model predictive control robust distributed model predictive control generation rate constraints

来源：评论

学校读者我要写书评

暂无评论

Neural-Network-Based adaptive model predictive control for a Flexure-Based Roll-to-Roll Contact Printing System

引用

IEEE-ASME TRANSACTIONS ON MECHATRONICS 2022年第6期27卷 5084-5094页

作者： Yan, Jingyang Du, Xian Univ Massachusetts Inst Appl Life Sci Mech & Ind Engn Dept Amherst MA 01003 USA

High-precision contact force control is essential for continuous roll-to-roll contact printing via mechanical contact on flexible web substrates using stamps. Nonuniformly controlled stamp contact force will cause failures during printing, especially for large-area printing processes. Due to their high precision in positioning and force control, flexure mechanisms have been applied in roll-to-roll contact printing systems;however, conventional physical model-based control systems cannot manage the nonlinear effects that exist in flexure-based roll-to-roll contact printing systems. To achieve precise contact force control, we propose a neural-network-based adaptive model predictive control for a flexure-based roll-to-roll contact printing system. The nonlinearity of the flexure mechanism is learned and modeled by an artificial neural network. To eliminate the steady-state error caused by model mismatches and external disturbances, an online adaptive mechanism is designed via updating the biases of the output layer of the neural network model. Experimental results show that the root-mean-square error of the contact force can be controlled in the range of 0-0.075 N with balances on two ends of the print roller, outperforming a proportional-integral-derivative controller, a neural-network-based standard model predictive control (MPC) controller, and a neural-network-based robust MPC controller. The proposed control algorithm is implemented in a microcontact printing process that prints 45-mu m width gold patterns and achieves a variation of 0.3 mu m in the average gold line width at different locations on an 88.9-mm width flexible substrate. The uniform microscale printing results have shown the effectiveness of the proposed neural-network-based adaptive model predictive control in the applied printing process.

关键词： adaptive model predictive control contact force control flexuremechanism neural network (NN) modeling roll-to-roll (R2R) contact printing

来源：评论

学校读者我要写书评

暂无评论

A Novel Combined Decision and control Scheme for Autonomous Vehicle in Structured Road Based on adaptive model predictive control

引用

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2022年第9期23卷 16083-16097页

作者： Liang, Yixiao Li, Yinong Khajepour, Amir Huang, Yanjun Qin, Yechen Zheng, Ling Chongqing Univ State Key Lab Mech Transmiss Chongqing 400044 Peoples R China Chongqing Univ Sch Automot Engn Chongqing 400044 Peoples R China Univ Waterloo Dept Mech & Mechatron Engn Waterloo ON N2L 3G1 Canada Tongji Univ Sch Automot Studies Shanghai 200070 Peoples R China Beijing Inst Technol Sch Automot Studies Beijing 100811 Peoples R China

In the research of autonomous vehicles, most existing studies treat the decision/planning and control as two separate problems. This idea originates from robotics. But since there are essential differences between robot and autonomous vehicle, the structure in Robotics may not be suitable for autonomous vehicles. Considering decision/planning and control separately may affect the performance of autonomous vehicle under complex driving conditions. To fill in the research gap, this paper proposes a novel scheme which considers the local motion planning and control in a combined manner. Firstly, the local motion planning is transformed into the longitudinal control problem based on the proposed scenario adaptive MPC, by which the motion behavior (driving along the global path, car-following, lane-change) can be automatically decided. Then, the lateral MPC controller is designed to track the global path and conduct the local motion commands. To ensure the performance of the path tracking control and a smooth lane-change process simultaneously, an adaptive weight mechanism is introduced in the lateral controller. Comprehensive case studies including both straight and curve road are conducted based on Carsim-Simulink co-simulation platform. The results show that the proposed algorithm can not only ensure the vehicle safety in complex driving conditions, but also ensure that the vehicle can drive at its desired velocity as much as possible by intelligently judging the most proper motion behaviors.

关键词： Autonomous vehicles Planning Robots Vehicles Tracking Roads Vehicle dynamics Autonomous vehicles motion decision path tracking control combined decision and control scheme adaptive model predictive control

来源：评论

学校读者我要写书评

暂无评论

Offset-free ARX-based adaptive model predictive control applied to a nonlinear process

引用

ISA TRANSACTIONS 2022年 123卷 251-262页

作者： Perez, Anthony Yang, Yu Calif State Univ Long Beach Dept Chem Engn Long Beach CA 90840 USA

An adaptive steady state constrained autoregressive with extra input (SSARX) model is developed and embedded into a model predictive control (MPC) framework to regulate a nonlinear process for setpoint tracking. The resulting linear MPC can minimize the deviation of output from the setpoint along the entire prediction horizon and finally achieve zero-offset control even with model mismatch. Our contributions lie in three aspects: First, we develop a steady state constrained ARX model identification method. Second, we design an information matrix based index for model re-identification using online closed-loop data. Third, when steady state input values are unknown, our algorithm can adaptively adjust parameters in the objective function and model to track the setpoint crossing a wide range of operating conditions. A fermenter control problem is studied to demonstrate the effectiveness of the proposed approach. (c) 2021 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： adaptive model predictive control ARX Information matrix Offset-free control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：