ISA transactions最新文献_第6页

Data-driven modeling of 600 MW supercritical unit under full operating conditions based on Transformer-XL 基于Transformer-XL的600 MW超临界机组全工况数据驱动建模。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2024.12.049

Guolian Hou, Tianhao Zhang, Ting Huang

{"title":"Data-driven modeling of 600 MW supercritical unit under full operating conditions based on Transformer-XL","authors":"Guolian Hou, Tianhao Zhang, Ting Huang","doi":"10.1016/j.isatra.2024.12.049","DOIUrl":"10.1016/j.isatra.2024.12.049","url":null,"abstract":"<div><div>Improving the flexible and deep peak shaving capability of supercritical (SC) unit under full operating conditions to adapt a larger-scale renewable energy integrated into the power grid is the main choice of novel power system. However, it is particularly challenging to establish an accurate SC unit model under large-scale variable loads and deep peak shaving. To this end, a data-driven modeling strategy combining Transformer-Extra Long (Transformer-XL) and quantum chaotic nutcracker optimization algorithm is proposed. Firstly, three models of the SC unit under once-through/recirculation/shut-down are built via analyzing its mechanism of the operation process, respectively. Secondly, the superior performance of Transformer-XL in obtaining global feature information is employed to effectively solve the problem of high information dependence caused by the strong coupling and nonlinearity of SC unit. Then, the improved quantum chaotic nutcracker optimization algorithm with higher search accuracy is proposed to obtain the optimal parameters of Transformer-XL based on the logistic chaotic mapping and quantum thinking. Feature information dependencies and optimal parameter settings are fully considered in the proposed modeling scheme, which results in an accurate model of SC unit under full operating conditions. Finally, various simulations and comparisons are conducted based on the on-site data of 600 MW SC unit to demonstrate the superiority of the proposed data-driven modeling strategy. According to the improved Transformer-XL, the mean square errors of the proposed SC unit model under once-through/recirculation/shut-down modes are less than 2.500E-03, which verifies the high accuracy of the model. Consequently, the developed model is suitable for application in the controller designing and the operating efficiency and flexibility improvement of SC unit.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 141-166"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improved approximation-free control for the leader–follower tracking of the multi-agent systems with disturbance and unknown nonlinearity

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.017

Xiaoyan Hu , Guilin Wen , Hanfeng Yin

引用次数: 0

EV and PV penetration impact on grid with conservative voltage regulation and reactive voltage compensation

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.004

Navinesshani Permal , Farrukh Nagi , Marayati Marsadek , Agileswari K. Ramasamy , Navaamsini Boopalan , Ganesh Kumar A.L. Balakrishna

{"title":"EV and PV penetration impact on grid with conservative voltage regulation and reactive voltage compensation","authors":"Navinesshani Permal , Farrukh Nagi , Marayati Marsadek , Agileswari K. Ramasamy , Navaamsini Boopalan , Ganesh Kumar A.L. Balakrishna","doi":"10.1016/j.isatra.2025.01.004","DOIUrl":"10.1016/j.isatra.2025.01.004","url":null,"abstract":"<div><div>As global interest grows in renewable energy sources, the impact of combined <strong>E</strong>lectric <strong>V</strong>ehicle (EV) and <strong>P</strong>hoto<strong>V</strong>oltaic (PV) penetration on the power grid stability requires renewed attention, to incorporate new technologies to maintain the power quality under operational constraints. Energy-saving techniques such as <strong>C</strong>onservation <strong>V</strong>oltage <strong>R</strong>eduction (CVR) allow the power utilities to transmit voltage at a lower operation limit, increasing the generation margin to absorb the peak load demands. Increased reverse PV penetration results in grid overvoltage while EV charging absorbs the reactive power causing grid instability. Both overvoltage and loss of reactive power in the grid can be reduced by using CVR and reactive power injection techniques. A power electronic secondary var controller (SVC) can dynamically inject reactive power into selected grid buses. This work compares the voltage stability of an IEEE 33 bus system operating with and without CVR. The simulation studies analyzed the effects of EV penetration level, and PV hosting capacity with SVC compensation paired with and without conservation voltage reduction technique. The analysis results demonstrate that tandem usage of CVR and SVC maintains the grid voltage under operational limits, meets load and EV demand, and increases power efficiency and PV penetration.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 477-487"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fully distributed data-driven model-free adaptive control for consensus tracking in multi-agent systems

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.027

Sayed Shahab Aldin Sahafi, Malihe Maghfoori Farsangi

引用次数: 0

Optimal nonlinear PID TSK3DCMAC controller based on balancing composite motion optimization for ballbot with external forces

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2024.12.048

Van-Truong Nguyen , Dai-Nhan Duong , Duc-Hung Pham , Van-Tam Ngo , Le Anh Tuan

{"title":"Optimal nonlinear PID TSK3DCMAC controller based on balancing composite motion optimization for ballbot with external forces","authors":"Van-Truong Nguyen , Dai-Nhan Duong , Duc-Hung Pham , Van-Tam Ngo , Le Anh Tuan","doi":"10.1016/j.isatra.2024.12.048","DOIUrl":"10.1016/j.isatra.2024.12.048","url":null,"abstract":"<div><div>This paper proposes an innovative approach to address the challenges of dynamic balance and external disturbances in ballbot systems, overcoming the limitations of conventional Proportional Integral Derivative (PID) controllers and their variants in handling highly nonlinear dynamics and external forces. Traditional PID controllers and their variants often have difficulty adapting to complex, real-time dynamic systems, leading to performance degradation under varying conditions. A nonlinear PID controller-based Takagi–Sugeno–Kang 3D Cerebellar Model Articulation Controller (TSK3DCMAC) is introduced to overcome these shortcomings. The proposed controller is developed utilizing a combination of nonlinear PID control, TSK3DCMAC, and the Balancing Composite Motion Optimization (BCMO) algorithm. The TSK3DCMAC is iteratively trained during the ballbot's motion to ensure the system balance in a very steady and seamless manner. Furthermore, the BCMO algorithm is utilized to obtain the optimal gains for precisely modeling the system. The stability of NPID-TSK3DCMAC law is analyzed using the Lyapunov technique. The simulation and experimental results highlight the effectiveness of the NPID-TSK3DCMAC controller. Without external force, it reduces the mean squared error (MSE) by 45.84 % and 99.87 % and the mean absolute error (MAE) by 25.68 % and 63.91 % compared to the PID and NPID controllers, respectively. With external force, it further surpasses the NPID controller by 64.94 % in MSE and 17.67 % in MAE, demonstrating its robustness and precision under varying conditions. Simulation and experiment results reveal that the proposed approach has robustness and effectively regulates the motion of the ballbot system despite external disturbances. This indicates a promising solution for applications requiring precise/agile motion control and stability under varying external conditions.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 654-673"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143043791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uniform-performance-constrained fixed-time neuro-control for stochastic nonlinear systems under dynamic event triggering

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.035

Wenjie Si , Xunde Dong , Feifei Yang

{"title":"Uniform-performance-constrained fixed-time neuro-control for stochastic nonlinear systems under dynamic event triggering","authors":"Wenjie Si , Xunde Dong , Feifei Yang","doi":"10.1016/j.isatra.2025.01.035","DOIUrl":"10.1016/j.isatra.2025.01.035","url":null,"abstract":"<div><div>This article studies the implementation of practical fixed-time control in stochastic nonlinear systems, implementing event-triggered communication between the controller and the actuator. Firstly, to accomplish the problem of uniform tracking error performance constraints, the improved performance function is investigated, which is combined with the asymmetric barrier Lyapunov function to achieve fast convergence speed and steady state accuracy. Secondly, the practical fixed-time stability is applied in the stochastic nonlinear closed-loop system, which fuses fixed-time command filtering and improved filtering error compensation mechanisms to avoid computational explosion issue. Furthermore, in order to relieve the communication load on the controller and actuator, adjustable trigger thresholds are designed, based on which dynamic event triggering mechanisms are presented for stochastic nonlinear systems. Additionally, the uncertain system behavior is estimated using RBF neuro-networks and the designed controller avoids the singularity problem. Finally, the proposed controller verifies that the system error converges to zero in a fixed time under the Lyapunov stability theory, and that the system output is within the preset boundaries, realizing boundedness of all signals. The superiority of the control method is further demonstrated by three simulation studies including two practical examples.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 73-86"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unified force and motion adaptive-integral control of flexible robot manipulators

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.030

Carlos R. de Cos , José Ángel Acosta

引用次数: 0

Cooperative control for a ROV-based deep-sea mining vehicle with learned uncertain nonlinear dynamics

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.02.033

Yuheng Chen , Haicheng Zhang , Weisheng Zou , Haihua Zhang , Daolin Xu

{"title":"Cooperative control for a ROV-based deep-sea mining vehicle with learned uncertain nonlinear dynamics","authors":"Yuheng Chen , Haicheng Zhang , Weisheng Zou , Haihua Zhang , Daolin Xu","doi":"10.1016/j.isatra.2025.02.033","DOIUrl":"10.1016/j.isatra.2025.02.033","url":null,"abstract":"<div><div>To overcome the bottleneck problem of the track slippage of the tracked mining vehicle in the traditional deep-sea mining system, this paper proposes an enhanced remotely-operated vehicle (ROV)-based deep-sea mining system. A ROV-based Deep-sea Mining Vehicle (RDMV), consisting of two ROVs and a mining robot (MRT), is instead of the traditional tracked Deep-sea mining vehicle. Firstly, the dynamic model of the RDMV as a control object is established based on Lagrangian function. Secondly, a cooperative control strategy is proposed for traction and sinking control of the RDMV. A distributed model predictive control (DMPC)-based controller is developed to obtain virtual speed control laws to meet the control objects. To track the virtual speed control laws, a learning-based model predictive control (LMPC)-based controller is investigated to compute the ROVs’ optimal control input, where a Kinky Inference (KI) prediction function is introduced in the state transition model to estimate the unknown external disturbances under random noise. Finally, the feasibility and the superiority of the LMPC controller is preliminarily verified in a degenerate individual motion control of a ROV, and then the cooperative control strategy is proven to be effective through numerical simulations.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"160 ","pages":"Pages 41-57"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143588689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Observer-based fractional-order dynamic terminal sliding mode control of active shock absorbing prostheses for lower limb amputees

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.007

Samane Memarzade, Mohammad Haddad Zarif, Alireza Alfi

{"title":"Observer-based fractional-order dynamic terminal sliding mode control of active shock absorbing prostheses for lower limb amputees","authors":"Samane Memarzade, Mohammad Haddad Zarif, Alireza Alfi","doi":"10.1016/j.isatra.2025.01.007","DOIUrl":"10.1016/j.isatra.2025.01.007","url":null,"abstract":"<div><div>Recent biomedical engineering developments have empowered prosthetic devices to evolve from purely mechanical devices to more sophisticated controlled devices, allowing amputees to perform advanced locomotion modes such as passing stairs and walking on sloped surfaces. However, the strongly coupled nonlinear system dynamics make it difficult for the lower-limb prosthesis (LLP) to adapt to complex tasks and isolate the vibrations and acceleration from the residual limb soft tissue. In this regard, realizing the potential of active LLPs to increase user mobility and efficiency requires reliable, stable, and intuitive control strategies to provide a comfortable gait quality. In this study, a fractional-order dynamic terminal sliding mode controller (FDTSMC) is proposed to effectively isolate the residual limb soft tissue from the vibrations and acceleration arising from the pylon and foot. The proposed sliding surfaces guarantee the fast finite-time system states’ convergence, and the chattering is remarkably alleviated. Furthermore, since from the practical viewpoint, the actuators are non-ideal and are affected by dead-zone and hysteresis that degrade the LLP’s performance, an observer is augmented with the control system to estimate the lumped uncertainties and compensate for the effects of model nonlinear dynamics and disturbances. The closed-loop system stability is ensured in terms of Lyapunov concept. Comparative performance investigations in ideal and non-ideal situations are carried out, and the proposed control scheme’s favorable gait shock absorption performance over observer-based conventional SMC and dynamic SMC approaches is revealed.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 217-226"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fuzzy reinforcement learning based control of linear systems with input saturation

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2024.12.045

Kainan Liu , Xiaojun Ban , Shengkun Xie

{"title":"Fuzzy reinforcement learning based control of linear systems with input saturation","authors":"Kainan Liu , Xiaojun Ban , Shengkun Xie","doi":"10.1016/j.isatra.2024.12.045","DOIUrl":"10.1016/j.isatra.2024.12.045","url":null,"abstract":"<div><div>This research introduces an innovative approach to optimal control for a class of linear systems with input saturation. It leverages the synergy of Takagi–Sugeno (T–S) fuzzy models and reinforcement learning (RL) techniques. To enhance interpretability and analytical accessibility, our approach applies T–S models to approximate the value function and generate optimal control laws while incorporating prior knowledge. By addressing the challenge of limited interpretability associated with conventional neural network utilization in RL, our approach utilizes segmented functions for saturation derivative characteristics approximation, effectively handling non-differentiability issues at saturation boundaries. Furthermore, our research presents a novel gradient identification method to overcome the impractical reliance on next-time-step State variables in RL for current-time-step policy improvements. This enables the derivation of optimal control laws corresponding to each fuzzy rule, ensuring practical applicability in the control field. The proposed methodology is rigorously evaluated through computer simulations, confirming its effectiveness, optimality, and convergence properties. This research contributes valuable insights and practical solutions to input-saturation control systems, offering a versatile and robust framework for real-world applications.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 405-414"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143043785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0