Advanced Control for Applications最新文献_第2页

Hybrid Energy Systems: Synergy Margin and Control Co-Design 混合能源系统：协同余量与控制协同设计

Advanced Control for Applications Pub Date : 2024-11-21 DOI: 10.1002/adc2.238

Mario Garcia-Sanz

引用次数: 0

Research on Measurement Algorithm of Thermocouple Time Constant Under Multiple Incentive Experimental Conditions 多激励实验条件下热电偶时间常数测量算法研究

Advanced Control for Applications Pub Date : 2024-11-20 DOI: 10.1002/adc2.239

Yunhong Liu, Xianming Liu, Yuanrong Zhao, Chongwen Wang, Fang Ge

{"title":"Research on Measurement Algorithm of Thermocouple Time Constant Under Multiple Incentive Experimental Conditions","authors":"Yunhong Liu, Xianming Liu, Yuanrong Zhao, Chongwen Wang, Fang Ge","doi":"10.1002/adc2.239","DOIUrl":"https://doi.org/10.1002/adc2.239","url":null,"abstract":"<div>\u0000 \u0000 <p>The time constant is often an important indicator parameter to evaluate the response speed of thermocouples. However, in practical applications, the output signal suffers from interference and deformation due to the excitation signal not satisfying the desired step size, data transmission delay, and the effect of mechanical vibrations, which do not match the output response of the system of the same order. In addition, the measurement results are not reproducible due to the subjective influence of the manual measurement method. In this paper, we propose a method to compute the time constant. The output signal is modified by filtering and fitting to enable the automatic calculation of the time constant, and the parameters of the algorithm are discussed. We developed a thermocouple time constant measurement device using a water bath and laser excitation conditions, obtaining response signals from thermocouples with different wire diameters and laser powers. The results demonstrate the effectiveness of the proposed time constant calculation methods in accurately capturing the changing trend of thermocouples with different wire diameters and laser powers. These methods successfully meet the requirements for processing the dynamic response signals of thermocouples under various excitation conditions.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.239","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861750","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 Novel Enhanced Fire Hawks Optimization Approach for Improving the Efficiency of Converter-Based Controllers in Switched Reluctance Motors 一种提高开关磁阻电机变换器控制器效率的增强型火鹰优化方法

Advanced Control for Applications Pub Date : 2024-11-05 DOI: 10.1002/adc2.234

Guntuku Ravi Kiran, Subba Rao Kotam Raju, Malligunta Kiran Kumar

{"title":"A Novel Enhanced Fire Hawks Optimization Approach for Improving the Efficiency of Converter-Based Controllers in Switched Reluctance Motors","authors":"Guntuku Ravi Kiran, Subba Rao Kotam Raju, Malligunta Kiran Kumar","doi":"10.1002/adc2.234","DOIUrl":"https://doi.org/10.1002/adc2.234","url":null,"abstract":"<div>\u0000 \u0000 <p>Switched reluctance motors (SRMs) have gained popularity in various industrial applications due to their advantages, including structural simplicity, high reliability, low cost, and operational stability over a wide speed range without relying on rare-earth permanent magnet materials. However, these motors exhibit drawbacks such as weak torque density, low efficiency, and significant torque ripple, particularly in high-speed operation. An efficient converter-based control approach is proposed to manage speed and torque variations in SRM motors, addressing these issues. A multilevel converter (MC) is introduced as a fundamental component. The novel multilevel converter (NMC) accommodates SRMs with varying numbers of phases and exhibits quick demagnetization and excitation behaviors, enabling independent operation of each phase even during conduction overlaps. Subsequently, an effective controller is developed for the SRM motor, combining proportional integral derivative (PID) control with enhanced fire hawks optimization (EFHO). The EFHO optimizes the PID gain values to enhance controller performance. The converter operation minimizes torque ripple and facilitates speed management. The EFHO technique is a fusion of fire hawks optimization (FHO) and the sine cosine algorithm (SCA). This amalgamation improves the updating process of FHO by incorporating SCA. The proposed methodology is implemented in MATLAB and evaluated through various metrics, including SRM motor current, voltage, speed, and torque, under electric vehicle (EV) load conditions. Performance comparisons are conducted with traditional optimization algorithms such as the whale optimization algorithm (WOA) and ant colony optimization (ACO). The results validate the effectiveness of the proposed methodology in achieving improved SRM motor control and performance.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.234","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860213","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

Analyzing Operational Dynamics: Centralized Load Distribution and Suspended Wagons in Self-Propelled Trains 运行动力学分析：自行式列车的集中负载分配和悬挂货车

Advanced Control for Applications Pub Date : 2024-10-29 DOI: 10.1002/adc2.236

Forouzan Ghalebzade, Habibollah Molatefi, Rahim Zahedi, Sareh Daneshgar

{"title":"Analyzing Operational Dynamics: Centralized Load Distribution and Suspended Wagons in Self-Propelled Trains","authors":"Forouzan Ghalebzade, Habibollah Molatefi, Rahim Zahedi, Sareh Daneshgar","doi":"10.1002/adc2.236","DOIUrl":"https://doi.org/10.1002/adc2.236","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper primarily focuses on the distribution of axial loads in railway networks. The analysis assesses the advantages and disadvantages of articulated trains. In addition, the perspectives and proposed solutions of academicians are analyzed. Simpack accurately models all aspects of this articulated train model. Subsequently, the program emulates the control system of the train. This study demonstrates a control system that utilizes a hydraulic actuator. The proposed model and control system actuator's dynamic response are evaluated according to EN14363 and UIC518 standards to validate the functionality of the component. The stability of a railway train, particularly when making turns, relies on the proper allocation of weight on the wheels and axles. This research investigates the hazards associated with the uneven distribution of loads in train wagons, particularly when navigating curving tracks. A train designed for intercity travel was constructed utilizing a specific control system. The discrepancy in axle load is mitigated by implementing a straightforward control method. The train's carriage, which is suspended without bogies, resulted in fluctuating axle load. A disparity in axle load was established by an actuator positioned between the wagons. The control mechanism minimized load disparity and regulated axle load.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.236","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862385","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

Security Enhancement Scheduling Model for IoT-Based Smart Cities Through Machine Learning Method 基于机器学习的物联网智慧城市安全增强调度模型

Advanced Control for Applications Pub Date : 2024-10-13 DOI: 10.1002/adc2.235

Anuj Kumar Dwivedi, Sanjeev Kumar Prasad

{"title":"Security Enhancement Scheduling Model for IoT-Based Smart Cities Through Machine Learning Method","authors":"Anuj Kumar Dwivedi, Sanjeev Kumar Prasad","doi":"10.1002/adc2.235","DOIUrl":"https://doi.org/10.1002/adc2.235","url":null,"abstract":"<div>\u0000 \u0000 <p>The Internet of Things (IoT) is rapidly evolving, and this has supported the adoption of a new computing paradigm that moves processing power to the network's edge. The job must be assigned to the computer nodes, where their associated data is available, to minimize overheads generated by data transmissions in the network, because the edge nodes have limited processing power and are vulnerable to security. Hence, the paper introduces a novel security-enhanced scheduling model for IoT-based smart cities utilizing machine learning techniques. Initially, nodes are initialized using the LHK-Means algorithm. Subsequently, tasks, representing requests from multiple users to access IoT data, are scheduled. Anomaly detection tasks are then identified using an L<sup>2</sup>-Norm-based fuzzy model. Normal tasks are processed by the BN-CNN model, which schedules data collection tasks through the initialized IoT device nodes. Comparative analysis with existing models illustrates the effectiveness of the proposed approach in terms of accuracy, precision, recall, sensitivity, specificity, and f-measure.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.235","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861262","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

Hunter–Prey Optimization Algorithm for Optimal Allocation of PV, DSTATCOM, and EVCS in Radial Distribution Systems 径向配电系统中光伏、DSTATCOM 和 EVCS 优化配置的猎人-猎物优化算法

Advanced Control for Applications Pub Date : 2024-10-13 DOI: 10.1002/adc2.231

Soundarya Lahari Pappu, Varaprasad Janamala, A. S. Veerendra

{"title":"Hunter–Prey Optimization Algorithm for Optimal Allocation of PV, DSTATCOM, and EVCS in Radial Distribution Systems","authors":"Soundarya Lahari Pappu, Varaprasad Janamala, A. S. Veerendra","doi":"10.1002/adc2.231","DOIUrl":"https://doi.org/10.1002/adc2.231","url":null,"abstract":"<div>\u0000 \u0000 <p>This research article instigates a seminal approach for optimizing reactive power in renewable energy sources (RES) and electric vehicles (EVs) coalescing distribution systems, using the innovative Hunter–Prey Optimization (HPO) algorithm in conjunction with DSTATCOM as a reactive power compensator. The proposed methodology aims to minimize losses, enhance voltage stability, and improve overall system performance by simultaneously optimizing reactive power flows in photovoltaic RES (PV_DG), EV charging stations (EVCS), and DSTATCOMs within the distribution system. Simulations carried on IEEE-33, IEEE-69, and IEEE-118 test bus systems in MATLAB environment demonstrate that the HPO-based approach achieves a 91.47% and 96.61% reduction in real power losses and an improvement in voltage profile with a minimum voltage value of 0.991 and 0.994 p.u. (respectively for IEEE-33 and 69 bus systems), compared to traditional algorithms. These results highlight the lofty performance of the HPO method, effectively addressing the challenges posed by the integration of RES and EVs along with DSTATCOM.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.231","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861263","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

Particle Swarm Optimization Algorithm Based Fuzzy PID Controller Design for Speed Tracking Control of Separately Excited DC Motor 基于粒子群算法的分励直流电动机速度跟踪模糊PID控制器设计

Advanced Control for Applications Pub Date : 2024-10-09 DOI: 10.1002/adc2.237

Dessale Akele Wubu, Ayodeji Olalekan Salau, Girma Kassa Alitasb

{"title":"Particle Swarm Optimization Algorithm Based Fuzzy PID Controller Design for Speed Tracking Control of Separately Excited DC Motor","authors":"Dessale Akele Wubu, Ayodeji Olalekan Salau, Girma Kassa Alitasb","doi":"10.1002/adc2.237","DOIUrl":"https://doi.org/10.1002/adc2.237","url":null,"abstract":"<div>\u0000 \u0000 <p>Fuzzy logic control is the most common method utilized to tune proportional integral derivative (PID) controller parameters online. However, proportional integral derivative controllers often perform poorly in the control of nonlinear and/or complicated systems, such as direct current motors, where the model parameters are not exactly known if the scaling factors are not properly selected besides the membership function and rule sets in a fuzzy logic controller design. Finding the most suitable scaling factors for complex systems where the model parameters are not exactly known or nonlinear systems is a challenging task. Furthermore, traditional trial and error techniques of determining appropriate scaling factors are experience based, time consuming, and may not always provide optimal response. In this paper, a particle swarm optimization algorithm is suggested for optimizing the input and output gains of the fuzzy PID controller. The robustness and effectiveness of the suggested controller was validated using MATLAB/Simulink. The performance of the suggested controller is compared with the Ziegler Nichols and Particle Swarm Optimization Algorithm tuned PIDs, and fuzzy PID controllers. The simulation result show that the fuzzy PID controller whose scaling factor was tuned using particle swarm optimization outperforms the other controllers in avoiding disturbance and has a better trajectory tracking capability.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.237","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860583","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

Utilization of Hydrogen Using Hydrogen Storage Alloys 贮氢合金对氢的利用

Advanced Control for Applications Pub Date : 2024-09-21 DOI: 10.1002/adc2.230

Hiroyuki Taniguchi, Hideki Tokuyama, Nobuhito Tsurui

引用次数: 0

Enhancing Electric Vehicle Charging Systems With a Versatile Bidirectional Buck Boost DC to DC Converter Integrated With Solar Photovoltaic Technology 利用集成太阳能光伏技术的多功能双向降压升压型直流到直流转换器改进电动汽车充电系统

Advanced Control for Applications Pub Date : 2024-09-20 DOI: 10.1002/adc2.233

D. Arun Kumar, A. Ramkumar, S. Rajendran

{"title":"Enhancing Electric Vehicle Charging Systems With a Versatile Bidirectional Buck Boost DC to DC Converter Integrated With Solar Photovoltaic Technology","authors":"D. Arun Kumar, A. Ramkumar, S. Rajendran","doi":"10.1002/adc2.233","DOIUrl":"https://doi.org/10.1002/adc2.233","url":null,"abstract":"<div>\u0000 \u0000 <p>Renewable energy-based electric vehicle (EV) charging systems have become increasingly popular in recent years, particularly in commercial and industrial environments. This study looks at a broad-spectrum bidirectional buck boost DC to DC converter employing solar photovoltaic (PV) technology. This combination is intended for usage in vehicle to grid (V2G) and grid to vehicle (G2V) modes for electric car applications. In both operating modes, the converter attains a high-voltage transfer gain ratio (VTGR) without any theoretical output voltage restrictions. It provides evidence on suitable nature for EV applications with versatility, redundancy, and practicality. The theoretical evaluation was verified by the development and testing of a 500 W experimental model. A peak efficiency of 97.8% and 97.4% in V2G and G2V modes is indicated by the data, confirming the usefulness and efficacy of this integrated strategy. These results show that the bidirectional buck boost DC to DC converter, when combined with the suggested integration of PV and EV, improves V2G-G2V operations in EV charging systems and is both practicable and feasible.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862034","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

Real-Time Model Predictive Control of Air-Conditioners Through IoT—Results From an Experimental Setup in a Tropical Climate 通过物联网对空调进行实时模型预测控制--来自热带气候实验装置的结果

Advanced Control for Applications Pub Date : 2024-09-15 DOI: 10.1002/adc2.232

H. Shamachurn, M. Seebaruth, N. S. Kowlessur, S. Z. Sayed Hassen

{"title":"Real-Time Model Predictive Control of Air-Conditioners Through IoT—Results From an Experimental Setup in a Tropical Climate","authors":"H. Shamachurn, M. Seebaruth, N. S. Kowlessur, S. Z. Sayed Hassen","doi":"10.1002/adc2.232","DOIUrl":"https://doi.org/10.1002/adc2.232","url":null,"abstract":"<div>\u0000 \u0000 <p>There is an increasing demand for air-conditioners (ACs) to maintain a comfortable indoor environment for all types and sizes of buildings including commercial, industrial, and office spaces. Such ACs are mostly operated by traditional ON–OFF controllers to maintain a temperature setpoint. Extensive control engineering knowledge resulting from experiments on actual buildings is needed before the wide application of an advanced control methods, such as model predictive control (MPC), which are more effective and energy-efficient than the traditional controllers. Simulation studies on the application of control may provide promising results, but the corresponding experimental validations may prove otherwise. User-friendly experimental setups to investigate the performance of real-time advanced control on an actual building and its HVAC system is scarce. This paper details the design, implementation and testing of a user-friendly, remote and autonomous test bed to acquire measured data through an IoT platform, and to control ACs in real time through MATLAB Thingspeak. Measurement and data acquisition equipment are installed in a two-zone concrete building in Mauritius. MPC of the indoor air temperature achieved an AC temperature setpoint tracking RMSE which was 0.7°C lower than that achieved by the built-in ON/OFF AC control. The test bed also revealed that portable air-conditioners are not very efficient, given that the maximum cooling efficiency achieved in this work was only 60%. It also provided valuable insights based on the experiments carried out, in terms of improvements to sensing and data acquisition. Control engineers can implement such a test bed for the development and application of advanced controllers as per their needs and applications.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.232","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861570","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