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predictive control method for wind power regulation via a double-screw expander-generator and supercapacitor

IET GENERATION TRANSMISSION & DISTRIBUTION 2019年第13期13卷 2731-2737页

作者： Zhu, Sanli Lu, Jiping Liu, Jialin Chongqing Univ Sch Elect Engn State Key Lab Power Transmiss Equipment & Syst Se Chongqing Peoples R China

A modified hybrid energy storage system (HESS) consisting of a double-screw expander-generator (DSEG) and a supercapacitor is proposed here to accommodate wind power fluctuations. The dynamic matrix control (DMC) algorithm is applied to improve the operating performance of the HESS. The reference track of the exchanging active power of the supercapacitor is pre-planned based on wind turbine output, load demand, and the predictive DSEG output. Meanwhile, a linearisation and state of charge (SOC) management strategy for the supercapacitor is proposed to avoid excessive charging-discharging. During the predictive control process, the DSEG input is continually adjusted by means of rolling optimisation combined with feedback correction until the output of the HESS approximates its expectation. Case studies show that the supercapacitor efficiently eliminates the power hysteresis of the DSEG and the DSEG eliminates the intrinsic error caused by the linearisation of the supercapacitor output in turn, indicating that the control effect of the HESS is improved.

关键词： energy storage supercapacitors wind power wind turbines predictive control power generation control load regulation matrix algebra optimisation predictive DSEG output excessive charging-discharging predictive control process DSEG input HESS power hysteresis supercapacitor output control effect predictive control method wind power regulation double-screw expander-generator wind power fluctuations dynamic matrix control algorithm wind turbine output hybrid energy storage system optimisation feedback correction active power

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Model predictive control method With NP Voltage Balance by Offset Voltage Injection for Three-Phase Three-Level NPC Inverter

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IEEE ACCESS 2020年 8卷 172175-172195页

作者： Jun, Eun-Su Nguyen, Minh Hoang Kwak, Sang-Shin Chung Ang Univ Sch Elect & Elect Engn Seoul 06974 South Korea

This paper proposes a predictive control method with offset voltage injection for achieving a neutral point (NP) voltage balance of three-phase three-level neutral point clamped (NPC) inverter, without employing a weighting factor. In order to ensure the proper and reliable operation of the NPC inverter, the NP voltage balance should be regulated in addition to the sinusoidal output current. The conventional predictive control methods for NPC has suffered from tedious weighting factor selection. Besides, when the converter's parameters value and control condition changes, it is cumbersome to empirically redesign the weighting factor. Therefore, the proposed predictive control method without the weighting factor can successfully maintain the balance of NP voltage by utilizing an offset voltage, which is determined according to the difference between the upper and lower capacitor voltages. As a result, the proposed algorithm using the offset voltage injection can control the output currents and maintain the balance of NP voltage. Simulation and experiments are presented to prove the validity of the NP voltage balancing of the proposed control method.

关键词： Switches Voltage control Inverters Capacitors Cost function predictive control Stress Neutral point clamped (NPC) inverter predictive control method neutral point (NP) voltage balance offset voltage injection

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Shrinking Horizon Model predictive control method for Helicopter-Ship Touchdown

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JOURNAL OF GUIDANCE control AND DYNAMICS 2020年第5期43卷 884-900页

作者： Greer, William B. Sultan, Cornel Virginia Polytech Inst & State Univ Dept Aerosp & Ocean Engn Blacksburg VA 24060 USA

A model predictive control (MPC) framework with a fixed maneuver horizon and shrinking prediction and control horizons is presented that, at each time step, minimizes the most accurate prediction of a complete cost for a discrete linear system, subject to constraints. methods of weight selection to ensure strong convexity of the cost, which makes the quadratic programming problem associated with MPC numerically more tractable, are discussed. A continuous-time flexible-blade helicopter dynamic model is discretized, and the resulting model is used to demonstrate this control design method in ship landing and touchdown maneuvers. Inequality constraints, ship-induced turbulence, and parametric uncertainty are gradually included in the design and analysis. Several case studies are used to illustrate the effectiveness of this control method in landings on ships that experience quiescent and nonquiescent motions.

关键词： Helicopter Blade predictive control method Quadratic Programming Euler Angles Flap Angle Flying Wires Autonomous Underwater Vehicle Helicopter Dynamics Helicopter controls Blade Pitch

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A control method of electric boiler phase change thermal storage heating system based on dual-time scale load prediction model

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JOURNAL OF ENERGY STORAGE 2025年 107卷

作者： Lu, Shilei Wei, Haoshuang Jia, Yanbing Wang, Ran Sun, Yongjun Yang, Qihang Tianjin Univ Sch Environm Sci & Engn Tianjin 300072 Peoples R China Tianjin Univ Tianjin Key Lab Built Environm & Energy Applicat Tianjin Peoples R China City Univ Hong Kong Dept Architecture & Civil Engn Hong Kong Peoples R China

The heating load, as well as the charging and discharging efficiency of phase change thermal storage devices, exhibit time-dependent variations. Consequently, the application of the predictive control method is crucial for optimizing the operation and enhancing the efficiency of phase change thermal storage heating systems. However, existing control methods lack better real-time adjustment capabilities. Therefore, this paper proposes a control method based on day-ahead and intraday dual time scale prediction. The day-ahead predictive control model is established by an iterative method, which can provide a preliminary plan for the next 24 h of system operation. The intraday predictive control model is established by the Convolutional Neural Network and Long Short-Term Memory network method, which can determine the optimal control strategy by combining real-time residual heat and ultra-short-term load prediction results. In order to verify the effectiveness of the proposed method, an automatic control experimental platform (phase change thermal storage heating system based on paraffin-based phase change material) was built to carry out comparative experiments. Experimental results indicate that, in comparison to the control group (the traditional switching control method and the day-ahead single time scale control method), the proposed control method effectively improves the matching degree of supply and demand, with increases of up to 31.6 %. This method helps to reduce the occurrence of under-supply and over-supply scenarios, thereby improving indoor thermal comfort and avoiding energy waste, respectively.

关键词： Phase change thermal storage predictive control method Dual-time scale Strategy correction Operation optimization Matching degree of supply and demand

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A Simplified Guide to control Algorithms for Grid Converters in Renewable Energy Systems

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ENERGIES 2024年第18期17卷 4690-4690页

作者： Dmitruk, Krzysztof Bialystok Tech Univ Fac Elect Engn Wiejska 45D PL-15351 Bialystok Poland

This article provides an overview of control algorithms for grid-connected converters in renewable energy systems, demonstrating their relevance and potential for further research. A common issue among authors of scientific works is the lack of a wide range of conducted research. Often, the results showing the operation of the developed algorithms in transient states or under abnormal supply conditions (such as asymmetries and distortions) are missing. This significantly reduces the ability to compare developed solutions, making it difficult to choose the appropriate control method for future research. The article suggests which control algorithm for power converters is best suited for research considering various factors.

关键词： control algorithm grid converter PV inverter linear control method non-linear control method predictive control method renewable energy systems

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AIRCRAFT TERRAIN FOLLOWING BASED ON A NONLINEAR CONTINUOUS predictive control APPROACH

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JOURNAL OF GUIDANCE control AND DYNAMICS 1995年第4期18卷 817-823页

作者： LU, P PIERSON, BL Iowa State University Ames Iowa 50011-3231

This paper discusses aircraft terrain-following flight control law development based on a new nonlinear optimal predictive control method, The control law minimizes the predicted difference between the actual trajectory and a smooth open-loop reference trajectory that satisfies the aircraft dynamic model, A fixed point algorithm is used to compute sequentially the tracking control commands from the implicit control law, Globally asymptotically stable tracking of the reference trajectory is proved in the absence of control saturation, and the influences of the controller parameters on the tracking dynamics are identified. Numerical simulations are presented for a supersonic fighter aircraft model over a standard test terrain, These simulations include the effects of initial condition errors, aerodynamic modeling inaccuracies, and vertical wind disturbances.

关键词： Aeroplane predictive control method Aerodynamic Coefficients Angle of Attack Supersonic Fighter Aircraft Numerical Simulation Atmospheric Density Flight control Law Flight Path Angle Flight control System

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Robust Generalized predictive control with Uncertainty Quantification

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JOURNAL OF GUIDANCE control AND DYNAMICS 2012年第3期35卷 930-937页

作者： Lew, Jiann-Shiun Juang, Jer-Nan Tennessee State Univ Ctr Excellence Informat Syst Nashville TN 37209 USA Natl Cheng Kung Univ Tainan 70101 Taiwan

This paper presents a robust predictive control method with uncertainty quantification for problems, such as online aircraft flutter suppression. The proposed approach begins by identifying the multistep output prediction matrices under various test conditions from online time-domain input/output data. Singular value decomposition is then used to characterize and quantify the parameter uncertainties of the prediction matrices. The predicted response error due to parameter uncertainties is integrated into the predictive control design process for robustness. The proposed method provides an innovative and efficient way to incorporate the quantified uncertainty in predictive control design with a linear process. The proposed approach is demonstrated by application to the Benchmark Active controls Technology wind-tunnel model.

关键词： predictive control method Benchmark Active control Technology Aircraft Flutter Dynamic Pressure Singular Value Decomposition Vibration Suppression Wind Tunnel Models Feedback control Flight Vehicle Observer Kalman Filter Identification

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Communication-Aware Trajectory Planning for Unmanned Aerial Vehicles in Urban Environments

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JOURNAL OF GUIDANCE control AND DYNAMICS 2018年第10期41卷 2269-2280页

作者： Oh, Hyondong Shin, Hyo-Sang Kim, Seungkeun Chen, Wen-Hua Ulsan Natl Inst Sci & Technol Sch Mech Aerosp & Nucl Engn Ulsan 44919 South Korea Cranfield Univ Inst Aerosp Sci Cranfield MK43 0AL Beds England Chungnam Natl Univ Dept Aerosp Engn 99 Daehak Ro Daejeon 305764 South Korea Loughborough Univ Dept Aeronaut & Automot Engn Loughborough LE11 3TU Leics England

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Experimental Characterization of Inverse Dynamics Guidance in Docking with a Rotating Target

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JOURNAL OF GUIDANCE control AND DYNAMICS 2016年第6期39卷 1173-1187页

作者： Wilde, Markus Ciarcia, Marco Grompone, Alessio Romano, Marcello Naval Postgrad Sch Monterey CA 93940 USA Florida Inst Technol Dept Mech & Aerosp Engn Melbourne FL 32904 USA Naval Postgrad Sch Mech & Aerosp Engn Dept Monterey CA 93940 USA

The performance of an inverse dynamics guidance and control strategy is experimentally evaluated for the planar maneuver of a "chaser" spacecraft docking with a rotating "target." The experiments were conducted on an airbearing proximity maneuver testbed. The chaser spacecraft simulator consists of a three-degree-of-freedom autonomous vehicle floating via air pads on a granite table and actuated by thrusters. The target consists of a docking interface mounted on a rotational stage with the rotation axis perpendicular to the plane of motion. Given a preassigned trajectory, the guidance and control strategy computes the required maneuver control forces and torque via an inverse dynamics operation. The recorded data of 150 experimental test runs were analyzed using two-way analysis of variance and post hoc Tukey tests. The metrics were maneuver success, vehicle mass change, maneuver duration, thruster duty cycle, and maneuver work. The results showed that the guidance and control algorithm provided robust performance over a range of target rotation rates from 1 to 4 deg /s. The effects of the rate estimation errors are measurable but not dominant.

关键词： Analysis of Variance control Algorithm Three Degrees of Freedom Spacecraft Docking Flight Phases Propellant predictive control method Rendezvous and Docking Algorithms Statistical Analysis Numerical Simulation

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Optimal security control for networked switched systems with a state-prediction-based anti-DoS mechanism

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR control 2023年第16期33卷 9514-9531页

作者： Qi, Yiwen Geng, Honglin Xing, Ning Huang, Jie Huang, Yanwei Fuzhou Univ Coll Elect Engn & Automat Fuzhou Peoples R China Shenyang Aerosp Univ Sch Automat Shenyang Peoples R China Fuzhou Univ Coll Elect Engn & Automat Fuzhou 350108 Peoples R China

The openness of networks renders them vulnerable to various forms of attacks. When networked switched systems (NSS) suffer from denial of service (DoS) attacks and delays, the real-time property of the dataset decreases, greatly affecting the control performance. To address this issue, this article proposes a switched adaptive dynamic programming (ADP) predictive control method. An event-triggered mechanism is designed to reduce unnecessary waste of network transmission resources. A predictive mechanism is designed to accurately reconstruct the missing system state and switching signal under DoS network attacks. Then, the reconstructed data are applied to train the actor and critic neural networks, which are used to approximate the optimal control policy and performance index function (PIF) of the NSS, respectively. Furthermore, the iterative convergence of the switched ADP algorithm is proved. Finally, a numerical example is provided to verify the effectiveness of the proposed method.

关键词： DoS attacks networked system optimal security control predictive control method switched system

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