Advanced Control for Applications最新文献

An Induction Machine Speed Regulation System Based on Adaptive Terminal Sliding Mode Controller With Barrier Function 基于自适应终端滑模障功能控制器的感应电机调速系统

Advanced Control for Applications Pub Date : 2026-10-09 DOI: 10.1002/adc2.70074

Ying Wang, Zhankui Wang, Xingjia Liu

{"title":"An Induction Machine Speed Regulation System Based on Adaptive Terminal Sliding Mode Controller With Barrier Function","authors":"Ying Wang, Zhankui Wang, Xingjia Liu","doi":"10.1002/adc2.70074","DOIUrl":"https://doi.org/10.1002/adc2.70074","url":null,"abstract":"<div>\u0000 \u0000 <p>The issue of eliminating the chattering phenomenon and lessening the sliding control controllers' convergence time for speed control of induction machines (IMs) is a fundamental challenge. This paper addresses this issue and presents a sliding mode controller that has a short convergence time and negligible chattering. Barrier function-based adaptive fast terminal sliding mode (TSM) control (BFBAFTSMC). The reaching law of this controller guarantees that the tracking error will eventually converge to a finite value under any initial conditions. This barrier function feature of the controller eliminates the chattering phenomenon and increases resistance to disturbances. On the other hand, this controller uses an adaptive fast TS surface that decides that the convergence time is very limited. Therefore, it can be concluded that this controller has high robustness, high convergence speed, and low chattering. An induction motor was the subject of a number of useful laboratory tests to examine the effectiveness of this approach. The findings demonstrate that it is successful in decreasing the chattering phenomena and convergence time while additionally strengthening the system's resilience.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70074","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating the Techno-Economic Feasibility of Grid-Connected Hybrid Renewable Energy and Storage System 并网可再生能源与储能混合系统的技术经济可行性评估

Advanced Control for Applications Pub Date : 2026-10-04 DOI: 10.1002/adc2.70063

Samir M. Dawoud

{"title":"Evaluating the Techno-Economic Feasibility of Grid-Connected Hybrid Renewable Energy and Storage System","authors":"Samir M. Dawoud","doi":"10.1002/adc2.70063","DOIUrl":"https://doi.org/10.1002/adc2.70063","url":null,"abstract":"<div>\u0000 \u0000 <p>Focusing on the renewable energy potential of Hurghada, Egypt, this study analyzes a grid-integrated system that utilizes DSSC technology, wind turbines, and battery storage. A multi-dimensional assessment is conducted, encompassing techno-economic modeling, environmental impact through emissions tracking, and sensitivity analyses to evaluate system resilience under varying conditions. The optimization results indicate a decrease in the cost of energy (COE) from $0.149/kWh to $0.0485/kWh due to the integration of DSSCs, compared to a scenario relying solely on the grid. Additionally, the findings demonstrate that the proposed configuration can supply up to 85.6% of the required electricity. The study also compares grid power and DC voltage fluctuations with those of a system without storage, showing that the proposed system maintains stable DC voltage, which enhances overall system stability and power quality. CO<sub>2</sub> emissions drop drastically from 89,211 to 22,510 kg/Year, with similar reductions observed for SO<sub>2</sub> and NOx.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149145626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent Frequency Control in Multi-Microgrids Using Adaptive Neuro-Fuzzy Inference System (ANFIS) With Renewable Energy Sources and Electric Vehicles 基于自适应神经模糊推理系统（ANFIS）的可再生能源和电动汽车多微电网智能频率控制

Advanced Control for Applications Pub Date : 2026-09-29 DOI: 10.1002/adc2.70069

Liu Yang, Xiaoxia Sun

{"title":"Intelligent Frequency Control in Multi-Microgrids Using Adaptive Neuro-Fuzzy Inference System (ANFIS) With Renewable Energy Sources and Electric Vehicles","authors":"Liu Yang, Xiaoxia Sun","doi":"10.1002/adc2.70069","DOIUrl":"https://doi.org/10.1002/adc2.70069","url":null,"abstract":"<div>\u0000 \u0000 <p>Frequency stability is a major issue in renewable-rich multi-source microgrids and aggregated microgrid clusters, especially when intermittent RESs, energy storage systems, and EV/V2G units participate in active-power balancing. This study proposes an ANFIS-based intelligent controller for frequency regulation in an equivalent single-area multi-source microgrid model. The proposed framework combines the interpretability of fuzzy logic with the adaptive learning capability of neural networks, thereby ensuring responsiveness to load variations, environmental perturbations, and dynamic uncertainties. The microgrid model used for the study includes wind power, PV systems, diesel engines, combined heat and power (CHP) plants, battery banks, flywheels, and EVs with vehicle-to-grid (V2G) functionality. The efficacy of the proposed controller is evaluated through five main operating case studies, including multi-stage load disturbances, natural-gas pressure reduction affecting CHP output, power-system parameter variations, renewable-generation fluctuations, and output-power coordination among EV, diesel generation, and flywheel units. In addition, supplementary robustness assessments are conducted for heterogeneous multi-type EV charging and balanced/unbalanced fault-induced active-power disturbances. Comparative simulations against a conventional fuzzy controller show that the proposed ANFIS controller reduces the RMS frequency deviation by approximately 41.5%–49.1% and the maximum frequency deviation by 9.7%–43.7% across the investigated operating scenarios. Under the external 0.3 p.u. benchmark disturbance, the proposed controller also achieves about a 58% reduction in RMS frequency deviation compared with the ICA-Fuzzy and FO-Fuzzy-PID controllers, while maintaining competitive peak-deviation performance.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Observer-Based Fault Detection for DC Motor Drives: Integrated PI Control and Diagnosis of Parametric and Disturbance Faults 基于观测器的直流电动机故障检测：集成PI控制与参数和干扰故障诊断

Advanced Control for Applications Pub Date : 2026-09-27 DOI: 10.1002/adc2.70072

XiaoPing Mao

{"title":"Observer-Based Fault Detection for DC Motor Drives: Integrated PI Control and Diagnosis of Parametric and Disturbance Faults","authors":"XiaoPing Mao","doi":"10.1002/adc2.70072","DOIUrl":"https://doi.org/10.1002/adc2.70072","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, an integrated fault detection and compensation approach on a direct current (DC) motor drive, focusing on two important fault situations namely, internal parameter changes (increase in motor armature resistance), and disturbance in the load torque, has been introduced. The main concept behind the proposed approach is based on the use of a PI speed control scheme along with a reduced-order current observer. A mathematical model of a DC motor has been derived, and incorporation of fault conditions has been introduced as a 20% rise in motor armature resistance along with a step change of 2.0 Nm in load torque. The PI control scheme, identified on a root locus, has ensured fast convergent response as well as eliminated steady-state error. The numerical results indicate that the control system ensured a steady reference speed of 100 rad/s within a small overshooting margin and a shorter settling time. During the introduction of the fault, a stabilization in the system took place without oscillations as the transient deviations were eliminated. The value of the residual, calculated from the difference between the actual and estimated currents, indicated a level below 0.01 A for the healthy state, a rise to 0.06 A in the resistance fault, and a sudden spike to 0.2 A in the torque disturbance. The phase plane validation demonstrated the robustness of the closed-loop system. The proposed framework combines a proportional–integral speed controller with a reduced-order current observer for residual generation. The reported findings are based on numerical simulations, while processor-specific real-time assessment and experimental validation on a physical direct-current motor platform remain subjects of future investigation.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70072","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model Predictive Battery Health-Aware DC Fast Charging Control 模型预测电池健康感知直流快速充电控制

Advanced Control for Applications Pub Date : 2026-09-21 DOI: 10.1002/adc2.70071

Ibrahim Haskara, Bharatkumar Hegde

引用次数: 0

LLM-Powered Multi-Agent RL Framework for Real-Time Power Grid Dispatching 基于llm的电网实时调度多agent RL框架

Advanced Control for Applications Pub Date : 2026-09-02 DOI: 10.1002/adc2.70067

Xinlei Cai, Zijie Meng, Kai Dong, Lizhou Jiang, Kaiyuan Pang

{"title":"LLM-Powered Multi-Agent RL Framework for Real-Time Power Grid Dispatching","authors":"Xinlei Cai, Zijie Meng, Kai Dong, Lizhou Jiang, Kaiyuan Pang","doi":"10.1002/adc2.70067","DOIUrl":"https://doi.org/10.1002/adc2.70067","url":null,"abstract":"<div>\u0000 \u0000 <p>Real-time power grid dispatching (PGD) is an essential task in power-system operation, but it remains challenging because of high dimensionality, nonlinearity, renewable-energy uncertainty, and strict response-time requirements. Classical optimization-based methods may become computationally burdensome or insufficiently adaptive under rapidly changing renewable generation. Existing multi-agent reinforcement learning (MARL) strategies provide a promising data-driven alternative, yet their practical use is limited by coordination blindness under partial observations, weak semantic understanding of grid topology and fault evolution, and limited generalization under rare events. To address these issues, this paper proposes a large-language-model-powered agent-orchestration framework, termed LLM-AOM, for real-time PGD. The framework contains a high-level orchestration layer and a low-level execution layer. The LLM is used only as a safety-filtered supervisory orchestrator: it converts grid states into structured situational-awareness descriptions and issues macro-level coordination guidance. Physical dispatch actions are generated by MAPPO-based low-level agents within predefined operational limits. For reproducibility and feasibility, the implementation uses Grid2Op-based simulation, an IEEE 39-bus test system, structured LLM-output parsing, bounded reward shaping, safety filtering, fallback execution, latency measurement, and matched-seed comparison. Simulation results on the IEEE 39-bus benchmark indicate that LLM-AOM improves security-related indicators and post-contingency recovery relative to DCOPF, PPO, and MAPPO in the tested scenarios. The study therefore provides a proof-of-concept for using LLMs as interpretable, safety-filtered high-level orchestrators rather than direct physical controllers in critical infrastructure control.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"8 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148942006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prescribed-Time Sliding Mode Control for Improving Speed Tracking Convergence Time of Induction Motor 改进异步电动机速度跟踪收敛时间的定时滑模控制

Advanced Control for Applications Pub Date : 2026-08-27 DOI: 10.1002/adc2.70068

Yanhui Wang

{"title":"Prescribed-Time Sliding Mode Control for Improving Speed Tracking Convergence Time of Induction Motor","authors":"Yanhui Wang","doi":"10.1002/adc2.70068","DOIUrl":"https://doi.org/10.1002/adc2.70068","url":null,"abstract":"<div>\u0000 \u0000 <p>The problem of model uncertainty and the variation of modeling parameters of the motor is one of the key issues facing induction machine drives. Hence, the control strategy of this class of motors should cope with uncertainties and finally deliver accurate control results. However, on the other hand, convergence time is another issue in control strategies of induction machines, so that with the variations of the reference speed, the controller should track the reference signal and make the motor speed reach it quickly. This paper proposes the prescribed sliding mode control (PSMC) technique. Precisely, based on the Lyapunov theory, stability of the system will be proved in a specified period of time, so that motor speed reaches the reference speed within a specific time. This way, we can ensure that the controller convergence time can be predetermined and achieved before designing this controller. In addition, the control loop's resistance to changes in parameters or model uncertainties will also be resolved. In order to examine the performance of the proposed method, a series of practical experiments were conducted on an induction motor in the laboratory, and the results obtained confirm the effective performance of this method in reducing convergence time and resistance to uncertainties. The results of practical experiments show that the proposed method has reduced the convergence time to 0.1 s and the steady-state error to 0.9 rpm, which is a significant improvement over conventional methods such as ASMC and PI. Also, the robustness of the proposed method against parameter variations of up to ±10% has been confirmed with an error of less than 2.5 rpm, indicating its effective performance under conditions of model uncertainty.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"8 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148848869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing a Robust Controller With Fast Convergence and Fixed-Time Property for Enhancing Voltage Regulation in DC–DC Boost Converter 为提高DC-DC升压变换器的电压调节性能，设计一种快速收敛、固定时间的鲁棒控制器

Advanced Control for Applications Pub Date : 2026-08-24 DOI: 10.1002/adc2.70066

Weiming Kang

{"title":"Designing a Robust Controller With Fast Convergence and Fixed-Time Property for Enhancing Voltage Regulation in DC–DC Boost Converter","authors":"Weiming Kang","doi":"10.1002/adc2.70066","DOIUrl":"https://doi.org/10.1002/adc2.70066","url":null,"abstract":"<div>\u0000 \u0000 <p>The issue of convergence speed in controlling DC–DC transformers is one of the significant challenges that researchers have been interested in so far. When the entry of a transformer changes or the load connected to it changes, the manager must be able to quickly return the transformer's product electric potential to the preset electric potential. This paper addresses this challenge and presents a fast manager from the sliding mode control (SMC) family. More precisely, the new manager displayed here uses a novel attaining rule called the fixed-time reaching law (FTRL). The achievement rule makes sure that any starting deviation from the benchmark will reach the switching boundary within a limited time span. In addition, the manager of interest provides fast stabilization from a switching manifold, which guarantees a short stabilization time from the switching manifold to zero. Therefore, considering this attaining rule and the switching manifold used in this manager, it can be claimed that the stabilization rate of the suggested framework is high. To investigate the functioning of the suggested framework, operational investigations were undertaken in the laboratory on a 20–40 V DC–DC transformer, and the outcomes verified the usefulness of the suggested framework in reducing stabilization time and also reducing the trembling phenomenon.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"8 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148848607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Resilient Hybrid Power Management Strategy for Telecom Centers: Technical and Economic Insights 电信中心弹性混合电源管理策略：技术和经济见解

Advanced Control for Applications Pub Date : 2026-08-23 DOI: 10.1002/adc2.70065

Motaz Altahhan

{"title":"A Resilient Hybrid Power Management Strategy for Telecom Centers: Technical and Economic Insights","authors":"Motaz Altahhan","doi":"10.1002/adc2.70065","DOIUrl":"https://doi.org/10.1002/adc2.70065","url":null,"abstract":"<div>\u0000 \u0000 <p>The availability and efficient utilization of Renewable Energy Sources (RES) play a crucial role in modern energy planning, particularly for isolated and critical facilities. In this context, Hybrid Energy Systems (HES), which integrate multiple energy sources, have emerged as a reliable solution to enhance system resilience and reduce environmental impacts. This study presents the design, optimization, and simulation of a standalone hybrid energy system composed of solar photovoltaic (PV), wind turbines, battery storage, and a diesel generator to supply a telecommunications center with a daily electrical demand of 80 kWh and a peak load of 7.5 kW, operating fully isolated from the public utility grid. To achieve this, MATLAB/Simulink was employed to model and analyze the system performance under local climatic conditions. Among the investigated configurations, the PV–Wind–Diesel–Battery system achieved the lowest Net Present Cost (NPC) of 251,130 USD and a Levelized Cost of Energy (LCOE) of 0.904 USD/kWh, thereby demonstrating superior economic performance and reduced reliance on fossil fuel generation. Furthermore, real-time validation using OPAL-RT confirmed the accuracy of the simulation results and the practical feasibility of the proposed system, highlighting its potential for reliable and sustainable power supply in remote telecommunication applications.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"8 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148848681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Agent and Forecast-Conscious DRL-MPC Framework of Safe and Efficient EV Fast-Charging With Digital Twins 基于数字孪生的安全高效电动汽车快速充电多智能体和预测意识DRL-MPC框架

Advanced Control for Applications Pub Date : 2026-08-16 DOI: 10.1002/adc2.70064

K. Preetha, S. Titus

{"title":"Multi-Agent and Forecast-Conscious DRL-MPC Framework of Safe and Efficient EV Fast-Charging With Digital Twins","authors":"K. Preetha, S. Titus","doi":"10.1002/adc2.70064","DOIUrl":"https://doi.org/10.1002/adc2.70064","url":null,"abstract":"<div>\u0000 \u0000 <p>The growing adoption of electric vehicles (EVs) puts a lot of pressure on fast-charging and distribution grids. The current methods of charging control, which are rule based, stand-alone Model Predictive Control (MPC), and deep reinforcement learning (DRL), have several important limitations: poor scalability, absence of coordination across chargers, the safety of exploration and reactive behavior because of the no-forecasting of demand. Such deficiencies lead to grid constraint breach, ineffective charging as well as poor system reliability in peak demand states. To solve these dilemmas, this paper suggests a Digital Twin-based, forecast-aware Multi- Agent Deep Reinforcement Learning (MARL) architecture with MPC-based safety oversight in coordinated EV fast charging. The electro-thermal battery dynamics, charger constraints and grid limits of a high-fidelity digital twin is electronegative and allows safe learning and realistic evaluation in closed-loop. The agent observations are equipped with short-term load forecasting, which facilitates grid-aware decision-making, that is, proactive charging. MARL will regulate individual chargers, and an MPC supervisor will implement strict operational and safety limitations. Extensive experimental analyses reveal that the proposed framework has a significant reduction of charging completion time, charging efficiency, smooths aggregate grid load, and an overall result that eliminates grid and thermal constraint violations using MPC only, DRL only, and single-agent DRL MPC baselines. Scalability test also proves its strong performance when scaling the number of charging agents, which proves the appropriateness of the framework to large-scale rollout of EV fast-charging infrastructure.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"8 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148783585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0