Advanced Control for Applications最新文献

{"title":"Protection of Cascaded Loops Against Windup and Limit Cycling","authors":"Eduard Eitelberg","doi":"10.1002/adc2.70027","DOIUrl":"https://doi.org/10.1002/adc2.70027","url":null,"abstract":"<p>Integral action (aka reset action) in feedback controllers is very popular among practitioners and academics. Practitioners have almost always been aware of the need to protect such controllers, or their resets, against windup during operational situations where a controller's output exceeds the actuator's range. Such windup counter-measures are easy to design for single-loop controllers that are adjacent to the actuator. Master controllers of cascaded feedback loops are not designed to be adjacent to the actuators. Here, I propose an anti-windup technique for master controllers that does not invalidate any of the linear designs and mitigates the actuator saturation-related tendency of limit cycling in cascaded control systems.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145062634","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}

{"title":"Nonlinear Controller Synthesis for a SISO Steam Boiler System Application","authors":"Kaushal Kishor Singh,&nbsp;Ch.vv. Rahul,&nbsp;Anshul Vishal,&nbsp;N. Sivakumaran,&nbsp;P. Kalaichelvi,&nbsp;T. K. Radhakrishnan,&nbsp;K. Sankar","doi":"10.1002/adc2.70029","DOIUrl":"https://doi.org/10.1002/adc2.70029","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper aims to develop a nonlinear control algorithm to optimize the operation of a single input single output (SISO) steam boiler system. First, a dynamic model based on mean density and mean specific internal energy is developed and validated against published data to accurately capture the system's behavior. Building on this model, two advanced nonlinear control strategies—Generic Model Control (GMC) and Globally Linearizing Control (GLC)—are systematically designed to improve system performance. To address the challenge of unmeasurable internal states, a Lyapunov-based state observer is formulated and integrated with the nonlinear controllers. For comparison, a conventional Proportional-Integral (PI) controller is also implemented. Simulation results demonstrate that the observer-enhanced GMC approach significantly outperforms both GLC and PI controllers in regulating boiler steam temperature through heat input manipulation. The work offers a novel integration of nonlinear control, state estimation, and performance benchmarking, contributing a robust and realistic solution to the control of nonlinear energy systems.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145062635","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}

{"title":"Enhanced Controller With Z-Source Converter for Voltage Regulation and Power Factor Improvement in Switched Reluctance Motors","authors":"Guntuku Ravi Kiran,&nbsp;Subba Rao Kotam Raju,&nbsp;Malligunta Kiran Kumar","doi":"10.1002/adc2.70028","DOIUrl":"https://doi.org/10.1002/adc2.70028","url":null,"abstract":"<div>\u0000 \u0000 <p>Switched reluctance motors (SRMs) are less stable, simple, and reliable, even in harsh environments. Despite its advantages, SRM remained out of date until advancements in power electronic devices made it possible to implement SRM drives. The efficiency of SRMs is limited by issues such as high torque ripple, low power factor (PF), and control complexity. Developments in power electronics have stimulated concepts for further enhancing the performance of SRMs, making them even better candidates for modern applications. Hence, issues related to acoustic noise and nonlinear characteristics remain. Addressing these constraints ensures reliable operation and greater efficiency. In this paper, an enhanced Z-Source converter-based controller is developed for voltage management and PF correction of SRMs, an innovative front-end converter that simultaneously performs voltage regulation and PF correction, tailored for SRM performance enhancement. The proposed converter, acting as a front-end device, performs power-factor correction and voltage regulation by adjusting the magnetization voltage according to the operating mode and drive structure requirements. To achieve these objectives, a central control technique (CCT) is developed that reduces the third-harmonic distortion (THD) and improves the PF. Moreover, angle control is employed to reduce torque ripple and maintain voltage regulation in the front-end converter. It uses a fractional order integral derivative (FOPID) system that is optimized using the modified coronavirus mask protection algorithm (MCMPA). This optimization was improved by MCMPA, which is an addition of the coronavirus mask protection algorithm (CMPA) combined with Levy flight distribution (LFD). Efficient operation of the converter ensures improved voltage management and PF correction. To validate the performance of the proposed controller, the SRM motor was tested under electric vehicle (EV) load conditions. To validate the proposed methodology, it was designed in MATLAB; the performance was evaluated using different measures such as SRM motor current, voltage, speed, and torque. The proposed methodology was compared with conventional approaches such as ant colony optimization (ACO), whale optimization algorithm (WOA), and enhanced fire hawk optimization (EFHO).</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905412","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}

{"title":"Stabilization of Plate and Ball Nonlinear System With Limited Field-of-View Sensors Using Constrained Adaptive Sliding-Mode Controller","authors":"Amir Naderolasli","doi":"10.1002/adc2.70025","DOIUrl":"https://doi.org/10.1002/adc2.70025","url":null,"abstract":"<div>\u0000 \u0000 <p>This research outlines the design and implementation of a constrained adaptive sliding-mode controller specifically developed for a nonlinear system involving a plate and a ball. A particular platform with rotary actuators has been chosen, and the comprehensive construction methodology is detailed to support the positioning of the ball on the plate. To attain high sampling rates for positional data, a resistive touchscreen panel is employed as a sensor, considering the field of view. The accuracy of the model was validated using real system data, confirming that it accurately represents the actual dynamics. The adaptive sliding-mode controller features error integration, which improves robustness against uncertainties in parameters, such as changes in the weight of the ball. A constrained control framework that utilizes the Barrier Lyapunov function is applied to keep the system state variables within allowable limits, addressing the limitations of the sensors' field of view. Both simulation and experimental findings indicate that the tracking controller, which is integrated with a constrained adaptive sliding-mode structure, successfully stabilizes the nonlinear plate and ball system.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144773480","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}

{"title":"A Three-Stage Neural Network-Based Control Design for Chaos Synchronization in A Permanent Magnet Synchronous Motors (PMSM)","authors":"Wahid Souhail,&nbsp;Hedi Khammari","doi":"10.1002/adc2.70023","DOIUrl":"https://doi.org/10.1002/adc2.70023","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper investigates the detection and control of chaotic behavior in field-oriented control (FOC) systems for Permanent Magnet Synchronous Motors (PMSMs). Chaos, characterized by unpredictable and highly sensitive dynamics, can significantly impact the stability and performance of electrical machines. We begin by employing conventional methods, such as computing the Largest Lyapunov Exponent (LLE) and analyzing attraction basins, to distinguish between chaotic and periodic behaviors. Building on this foundation, we introduce a three-stage neural network (NN)-based control design for chaos synchronization, leveraging unsupervised learning (UL) to exploit the hidden properties of chaotic systems without explicit supervision. By integrating clustering, dimensionality reduction, and unsupervised modeling techniques, we demonstrate the potential to efficiently synchronize chaotic behavior in PMSMs. This approach not only enhances the understanding of chaotic dynamics but also enables the design of a robust NN-based control strategy. The proposed methodology highlights the synergy between artificial intelligence (AI) and chaos theory, offering powerful tools for analyzing and controlling chaotic systems. Our findings pave the way for robust applications in complex industrial environments, where chaos synchronization can improve the reliability and efficiency of electrical machines. This study underscores the transformative potential of AI-driven techniques and the three-stage neural control framework in advancing the control of chaotic systems and their practical implementation in real-world scenarios.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657651","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}

{"title":"Improved Robust and Optimal Performance of DC Servo Motor Using Model Predictive Control With Implementation","authors":"Hitarthi Pandya,&nbsp;Dhaval R. Vyas,&nbsp;Parth S. Thakar,&nbsp;Anilkumar Markana,&nbsp;Sanjay Prajapati","doi":"10.1002/adc2.70024","DOIUrl":"https://doi.org/10.1002/adc2.70024","url":null,"abstract":"<div>\u0000 \u0000 <p>Position control of direct current motors remains one of the most important control problems in various application domains like robotics, automation in industries, and aviation. Traditionally, Proportional–Integral–Derivative based controllers are most popular for such scenarios, however due to their inability to handle constraints and are not being optimal and robust by design, they are not preferred in precision position tracking applications like antenna positioning, pitch angle control for wind turbine blades, solar tracking in photovoltaic panels etc. This calls for the need to employ some robust and high-precision controllers like model predictive control. The main objective of the work carried out is to present a better alternative for the position control problem for a DC servo motor plant using model predictive control. The optimization problem is formulated to minimize the cost function that penalizes position errors and input changes, along with the necessary constraints on output and inputs. The implementation of the proposed scheme is carried out both in simulations and with experimentation. In simulation, the scheme is verified using MATLAB/Simulink, and in experimentation on the real plant of Quanser's DC servo motor setup through Simulink real-time interface blocks. The obtained simulation and experimental results efficiently validate the proposed theoretical findings by gracefully achieving the required position trajectory tracking. Achieved results are also compared with standard PID, which confirms the superiority of model predictive control over PID control, especially in handling constraints and yielding better tracking performance without any overshoots and with the overall lesser control energy requirement.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581934","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}

{"title":"Grid Fragility, Blackouts, and Control Co-Design Solutions","authors":"Mario Garcia-Sanz,&nbsp;Mirjana Marden,&nbsp;Igor Cvetkovic,&nbsp;HyungSeon Oh,&nbsp;Ethan LoCicero,&nbsp;Saba Khalid","doi":"10.1002/adc2.70022","DOIUrl":"https://doi.org/10.1002/adc2.70022","url":null,"abstract":"<p>The grid is undergoing a large-scale transformation, including a significant reduction of synchronous generators, a high penetration of inverter-based resources and renewables, substantial demand growth, new extra-large loads, aging infrastructure and a concerning vulnerability to contingencies. Some of the recent massive blackouts in Spain/Portugal, Chile and Texas are exposing the fragility of the grid as we know it today. This paper introduces new solutions to stabilize the grid under undesired dynamic interactions and extreme contingencies, with the goal of avoiding cascading failures and blackouts. Using control co-design methodologies, the paper proposes three interdependent categories to improve the reliability and controllability of the grid. The first category, or Flexible inverter-based resources (IBRs), proposes inverter-based generators with inverters that can transition from grid-following mode (for energy production) to grid-forming mode (for grid stability), have some form of fast short-term energy storage, and contain advanced control solutions for grid controllability and IBRs' coordination. The second category, or <i>Intelligent relays</i>, proposes advanced relays that include under-frequency and under-voltage load-shedding capabilities for emergency operation, with smart sensors and algorithms for automatic contingency prediction, impedance estimation and stability assessment. The third category, “2.5 control” or Wide-area real-time control co-design, adds a layer between the conventional secondary and tertiary control systems. It co-designs the dynamics of the grid in real-time, allocating the previous inertia (“energy”), damping (“control authority”) and load-shedding capabilities across different regions of the grid, according to the dynamic variations and stability needs of each location. These concepts have been recently proposed as part of a new ARPA-E effort, called the GRADIENTS program, opening the door to advanced control co-design opportunities to build the grid of the future.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492604","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}

{"title":"Real-Time Implementation and Performance Analysis of a Novel SLADRC Hybrid Tuning Approach Using Graphical and Lichtenberg Optimization","authors":"Janeshwaran Gunasekaran,&nbsp;Ezhilarasi Deenadayalan","doi":"10.1002/adc2.70020","DOIUrl":"https://doi.org/10.1002/adc2.70020","url":null,"abstract":"<div>\u0000 \u0000 <p>Optimizing the tuning parameters for a second-order linear active disturbance rejection controller (SLADRC) presents a challenge due to the complexity of system dynamics. This paper proposes a novel tuning method combining analytical, graphical, and optimization techniques. A graphical approach defines a feasible region based on gain margin and phase crossover frequency using a unified method, while a hybrid method integrating these rules with the Lichtenberg Optimization Algorithm precisely determines optimal parameters. The objective function of the proposed technique is formulated to minimize the deviations in desired settling time, overshoot, and disk margin. The proposed SLADRC tuning approach is evaluated through simulation on two benchmark systems and verified in real time on a DC motor position control system, employing two different loading arrangements. The proposed tuning achieves optimum performance with an average error of less than 0.1% within 30 iterations, and the resulting SLADRC outperforms PID and state feedback controllers under parameter uncertainties and external force disturbances in real time.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309012","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}

{"title":"Application of Newton–Euler Algorithm Based Dynamics Control Technology for SCARA Robot","authors":"Xiqing Liu","doi":"10.1002/adc2.70019","DOIUrl":"https://doi.org/10.1002/adc2.70019","url":null,"abstract":"<div>\u0000 \u0000 <p>Aiming at the bottlenecks of traditional SCARA robot dynamics control method, such as high computational complexity, insufficient parameter identification accuracy, and weak anti-interference ability, a recursive Newton–Euler control framework based on genetic algorithm optimization is proposed. The optimal performance of the Newton–Euler method could achieve 98% accuracy, which was 7%–10% higher than that of the PSO/machine learning model. The NEA recursive computing architecture was designed to reduce the dynamic analysis complexity of the multi-joint system from O(<i>n</i>³) to O(<i>n</i>), and the single-cycle computation time was reduced to 9.0 s (efficiency increased by 14.3%). The practical test results showed that the discrimination rate of the dynamic parameters of the robot based on the model was higher than that of the dynamic control model based on machine learning, which could reach more than 90%. The stronger the stability, the smaller the torque change caused by the collision between the robot and the object, and the variation range was from 90 to −30 nm. In conclusion, the SCARA dynamic control model based on the Newton–Euler algorithm has high control accuracy and stability. The research breaks the contradiction between precision and real time in highly dynamic scenes and provides a new paradigm for the precision control of industrial robots. In the future, reinforcement learning will be integrated to build a hybrid architecture to improve the adaptability to complex working conditions.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299884","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}

{"title":"Designing Model-Independent Controllers for Diagonally Configured Magnetic Microrobot Systems","authors":"Gunyaz Ablay","doi":"10.1002/adc2.70021","DOIUrl":"https://doi.org/10.1002/adc2.70021","url":null,"abstract":"<div>\u0000 \u0000 <p>Magnetic microrobotic systems include robotic manipulation of objects with characteristic dimensions in the millimeter to micrometer range for various promising applications in biomedical and micro-manufacturing industries. In this work, a bias current-based controller, a PI-based controller, and an active disturbance rejection controller are designed and implemented for efficient control performances. The system has more inputs than outputs, and the inputs are nonlinear. The proposed model-independent controllers are able to linearize the input nonlinearities and decouple the control currents of the 1D, 2D, and 3D magnetic micromanipulators. It is shown that the controllers provide a guaranteed asymptotic stability of the magnetic microrobot, fast and non-overshoot transient responses, and virtually zero steady-state tracking error.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299885","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}