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

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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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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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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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Laboratory Experimentation of Spacecraft Robotic Capture Using Deep-Reinforcement-Learning-Based Guidance

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JOURNAL OF GUIDANCE control AND DYNAMICS 2022年第11期45卷 2138-2146页

作者： Hovell, Kirk Ulrich, Steve Carleton Univ Dept Mech & Aerosp Engn 1125 Colonel Dr Ottawa ON K1S 5B6 Canada

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Multi-objective Optimal predictive control of Axial Field Flux-Switching Permanent Magnet Machine 4

Multi-objective Optimal Predictive Control of Axial Field Fl...

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4th International Conference on Smart Power and Internet Energy Systems (SPIES)

作者： He, Jianbiao Zhang, Wei Fan, Haojie Nantong Univ Sch Elect Engn Nantong Jiangsu Peoples R China

ISBN: (纸本)9781665489577

A multi-objective optimal predictive control method is proposed in this paper in order to improve the operating efficiency of axial field flux-switching permanent magnet machine (AFFSPMM) while suppressing the torque pulsation caused by the cogging torque. The method is based on the mathematical model of the machine considering iron loss to calculate the minimum excitation currents of iron and copper consumption. On the one hand, the excitation currents corresponding to the minimum loss of the machine are obtained by the interval current seeking. On the other hand, the d-q axis compensation currents are calculated according to the results of the finite element analysis of the cogging torque. Finally, based on the model predictive control principle, the value function is designed jointly by using the loss minimum excitation currents and compensation currents to accomplish the optimal switching states, so that the multi-objective optimal control with low torque pulsation and high efficiency of AFFSPMM is realized. The experimental results verify the feasibility and effectiveness of the proposed multi-objective optimal predictive control method for AFFSPMM.

关键词： axial field flux-switching permanent magnet machine (AFFSPMM) multi-objective optimal minimum loss predictive control method

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A New Active Fault Tolerant control System: predictive Online Fault Estimation

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IEEE ACCESS 2021年 9卷 118461-118471页

作者： Bavili, Robab Ebrahimi Mohammadzadeh, Ardashir Tavoosi, Jafar Mobayen, Saleh Assawinchaichote, Wudhichai Asad, Jihad H. Mosavi, Amir H. Sahand Univ Technol Dept Elect Engn Tabriz *** Iran Univ Bonab Fac Engn Dept Elect Engn Bonab *** Iran Ilam Univ Dept Elect Engn Ilam *** Iran Natl Yunlin Univ Sci & Technol Future Technol Res Ctr Touliu 64002 Yunlin Taiwan King Mongkuts Univ Technol Thonburi Fac Engn Dept Elect & Telecommun Engn Bangkok 10140 Thailand Palestine Tech Univ Kadoorie Fac Appl Sci Dept Phys Tulkarm Palestine Tech Univ Dresden Fac Civil Engn D-01069 Dresden Germany J Selye Univ Dept Informat Komarno 94501 Slovakia Obuda Univ Inst Software Design & Dev H-1034 Budapest Hungary

This study presents a new approach for active fault-tolerant controller (FTC) design for constrained nonlinear multi-variable systems. The proposed approach utilize the nonlinear model predictive controller (NMPC) and fault estimation method which is on basis of extended kalman filters (EKFs). The deficiency of actuators and sensors and also the plant states measurement errors are estimated by the suggested approach. A supervisor unit using the fault information and fault modeling per sampling time, corrects the predictor model of the controller and compensates actuator and sensor faults in control system. Furthermore, by the presented feedback compensation, the robustness of the designed method against plant faults and uncertainties is ensured. The important advantages of the proposed method are: (1) The suggested FTC scheme based on NMPC leads to calculate more accurate control action than MPC in nonlinear processes, (2) it is comprehensive in fault accommodation point of view because it is able to compensate all types of faults in control systems simultaneously, (3) it has low computational cost because of using NMPC by analytical solution, (4) it can handle control and states constraints to prevent of actuator saturations and unsafe situations, (5) the simplicity and effectiveness of the designed FTC scheme for real applications is more significant. Simulation results on continuous stirred tank reactor process verifies the superiority and capability of the designed approach.

关键词： Actuators Sensors Fault tolerant systems Fault tolerance Uncertainty Trajectory predictive models Fault-tolerant controller fault modeling uncertainty predictive control method robustness

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Online Feasible Trajectory Generation for Collision Avoidance in Fixed-Wing Unmanned Aerial Vehicles

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JOURNAL OF GUIDANCE control AND DYNAMICS 2020年第6期43卷 1201-1209页

作者： Adhikari, Min Prasad de Ruiter, Anton H. J. Ryerson Univ Dept Aerosp Engn 350 Victoria St Toronto ON M5B 2K3 Canada Ryerson Univ Dept Aerosp Engn Spacecraft Dynam & Control 350 Victoria St Toronto ON M5B 2K3 Canada

In a study, researchers consider trajectory generation as an optimal control problem, allowing the direct incorporation of performance metrics and state–control constraints. In particular, they present a rapid feasible trajectory generation approach for fixed-wing UAVs in which the trajectory is defined as a function of points x, y, and z in three-dimensional (3D) space and velocity v. The definition of a feasible trajectory with four optimization parameters leads to a faster solution time than for the original optimal control problem with more than four optimization parameters. A similar idea appears where a semi-analytical method for generating an initial guess was proposed for aircraft landing trajectory generation in the absence of obstacles. In contrast, they consider the scenario of flying from a start point to a goal point in the presence of stationary and moving obstacles, with the goal of staying close to a reference flight path.

关键词： UAV Flight Path Angle Trajectory Optimization Heading Angle Nonlinear Programming Lift Coefficient Drag Coefficient Quadrotor predictive control method Quadratic Programming

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