Advanced Control for Applications最新文献

{"title":"Research on Collision Avoidance Control in the Same Direction for Intelligent Vehicles Under Emergency Conditions","authors":"Zhanyu Wang,&nbsp;Yuqiang Liu,&nbsp;Hongyang Su,&nbsp;Benhong Zhang","doi":"10.1002/adc2.70012","DOIUrl":"https://doi.org/10.1002/adc2.70012","url":null,"abstract":"<div>\u0000 \u0000 <p>In order to reduce the possibility of collisions during the driving process of intelligent vehicles in the same direction, this paper studies the collision avoidance control of intelligent vehicles in the same direction and designs an active collision avoidance controller. The longitudinal safe distance model, lateral lane change path planning model, and adaptive multi-point preview model of preview distance are established. The longitudinal speed control is carried out by the expert PID control method based on mode switching, the lateral path tracking control is carried out by the sliding mode control method with exponential convergence law, and the active collision avoidance controller is designed in combination with the multi-point preview module that is adaptive to the preview distance. The active collision avoidance controller was jointly simulated using Carsim, Prescan, and Simulink software for emergency lane change scenarios and slow vehicle driving in front. In the emergency lane change scenario, the minimum distance between the two vehicles is 1.9 m, and the path tracking deviation is 0.17 m. In the front vehicle slow driving scenario, the minimum distance between the two vehicles is 2.2 m, and the path tracking deviation is 0.13 m. The controller can realize collision avoidance in two scenarios of 80 and 108 km/h respectively, which shows that the controller is robust and considers the tracking accuracy and steering stability at the same time, which is of reference significance for improving the safety of intelligent vehicles driving in the same direction.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880027","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":"Improving Industrial Boiler Efficiency With Quantitative Feedback Theory-Based Controllers","authors":"Rebira Etefa Itika,&nbsp;Habtamu Zewude Belachew,&nbsp;Dereje Fedasa Tegegn,&nbsp;Ayodeji Olalekan Salau","doi":"10.1002/adc2.70010","DOIUrl":"https://doi.org/10.1002/adc2.70010","url":null,"abstract":"<div>\u0000 \u0000 <p>The aim of this study is to improve industrial boiler efficiency with QFT-based controllers. The operational parameters of industrial boilers are frequently highly uncertain, which can have an impact on their performance and stability. PID controllers and other conventional control techniques have not been able to effectively manage these uncertainties. The proposed methodology involves identifying and modeling the dynamics of the industrial boiler system, accounting for parametric uncertainties like fuel flow, air flow, and pressure changes. A QFT controller is designed using frequency-domain techniques, incorporating phase and magnitude information to ensure robust stability and performance under uncertain conditions. The designed controller is validated through simulations and real-time testing to demonstrate its effectiveness in improving boiler efficiency and reducing fuel consumption. According to the simulation results, the QFT-based controller outperform conventional controllers in terms of disturbance rejection, settling times, and smoother responses. The controller is then synthesized to satisfy these bounds, ensuring that the system remains stable and performs satisfactorily under all specified uncertainties. The system increases overall system stability, decreases fuel consumption, and improves fuel efficiency by the use of QFT. The controller successfully mitigates the impact of uncertainties, ensuring that key performance indicators such as response time, overshoot, and disturbance rejection, remain within acceptable limits. The results shows that implementing QFT-based controllers significantly improves industrial boiler efficiency. By addressing the challenges of high parametric uncertainty, the QFT controller achieves robust stability, enhanced performance, and better handling of dynamic variables such as fuel flow and boiler pressure. This leads to smoother system responses, reduced overshoot, faster settling time, and ultimately contributes to reduced fuel consumption and increased overall operational efficiency.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143857113","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 Comprehensive Experimental Liquid-Level Control System for Advancing Fault Diagnosis Research Innovation: Data, Models, and Procedures","authors":"Hilina Workneh,&nbsp;Ioannis Raptis","doi":"10.1002/adc2.70011","DOIUrl":"https://doi.org/10.1002/adc2.70011","url":null,"abstract":"<p>This work addresses the development of a laboratory benchmark system designed for testing and comparing model-based fault diagnosis algorithms. We selected a liquid-level control system with three interconnected storage tanks as the physical process. We provide a detailed description of the first-principles mathematical modeling for deriving the state-space equations of the physical process. System identification was performed using elementary least squares to estimate the model parameters from input/output data. The primary contribution of this paper is the presentation of an open-access repository containing extensive sensor and actuator data from experiments on a physical process experiencing faults. This repository enables researchers to validate their algorithms using sensory data from a real-world process subjected to realistic uncertainty and measurement challenges. The validation of the identified dynamic model and its agreement with the collected data demonstrate the capabilities of the proposed system for testing and comparing model-based fault detection algorithms.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852875","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":"Fault-Observer-Based Fault-Tolerant Fuzzy Terminal Sliding Mode Control of a Quadrotor Encountered the Deviation of Rotor Thrust","authors":"Mohammad Bagher Sajjadi,&nbsp;Nima Safaei,&nbsp;Moosa Ayati","doi":"10.1002/adc2.70008","DOIUrl":"https://doi.org/10.1002/adc2.70008","url":null,"abstract":"<div>\u0000 \u0000 <p>Due to the high nonlinearity of the quadrotor dynamics and the generated structural faults, a Fault-Observer-Based Fault-Tolerant Fuzzy Terminal Sliding Mode Controller (FT2SMC) is utilized. This strategic utilization remains effective even when the system encounters input saturation. A fault observer estimates the fault vector since it is applied to the governing equations of motion as external disturbances. Additionally, a Fuzzy Inference System (FIS) has been employed to estimate the discontinuous term of the terminal sliding mode control and to alleviate the chattering phenomenon. The finite-time convergence of the tracking errors of the attitude and the altitude toward the origin has been guaranteed, and the entire closed-loop stability of the faulty quadrotor has been proved using Lyapunov theory, ensuring that it continues following the desired trajectory even in the presence of faults. The simulation results indicate the prodigious effectiveness of the controller, which navigates the quadrotor to a desired altitude. Also, the superiority of this control algorithm is demonstrated by comparing the results of the control inputs with those obtained with a regular terminal sliding mode controller.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822114","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":"Robust Optimal Controller Design for MIMO Systems on the Basis of Modified Discrete Kharitonov Theorem","authors":"Sumit Kumar Pandey,&nbsp;Puja Haldar","doi":"10.1002/adc2.70009","DOIUrl":"https://doi.org/10.1002/adc2.70009","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, a modification in the Kharitonov theorem is proposed to fix the robustness criteria of the discrete time systems. This proposed method is noble and quite simpler than the existing method of the Kharitonov theorem for discrete time plants. In this method, to ensure robust stability, there is no need to check the stability of all four Kharitonov interval polynomials, whether it can be calculated through the much simpler conditions by only knowing the polynomials' maximum and lowest limits up to fourth order polynomials. The proposed method is derived and verified for the different orders of the plants. Further, the proposed method is implemented as a physical example of a four tank MIMO system. A PID controller is designed in this work on this proposed method to find the robust gains, which are further fine-tuned by the TLBO algorithm. Tests of the multi-channel input output gain change, delay variation, and output disturbance to the plant are used to assess the robustness of the developed controller.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726865","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 Review on Detection of Cyberattacks in Industrial Automation Systems and Its Advancement Through MPC-Based AI","authors":"Md. Musfiqur Rahman,&nbsp;Jubayer Al Mahmud,&nbsp;Md. Firoj Ali","doi":"10.1002/adc2.70003","DOIUrl":"https://doi.org/10.1002/adc2.70003","url":null,"abstract":"<div>\u0000 \u0000 <p>The burgeoning digitalization of industrial automation systems (IASs) has amplified their vulnerability to sophisticated cyberattacks, necessitating robust and adaptable detection mechanisms. This review provides insights into the current landscape of cyberattack detection in IASs and underscores the potential of model predictive control (MPC)-based AI techniques to bolster security and resilience in critical infrastructure settings. By harnessing the combined strengths of physically grounded MPC models and data-driven AI algorithms, this framework offers significant advantages over traditional methods. The review navigates through existing literature, scrutinizing diverse approaches for cyberthreat detection. An emphasis is placed on the proactive nature of MPC, which enables the modeling and optimization of complex system dynamics, coupled with the adaptability and learning capabilities of AI algorithms. These features collectively empower the system to identify anomalies indicative of cyberattacks in real-time, thus fortifying IAS against potential disruptions. Key findings from reviewed studies demonstrate the previous technologies in detecting and mitigating cyberthreats while maintaining the stability and functionality of industrial processes. The review further highlights a problem formulation based on MPC method to detect cyberattacks, including computational efficiency and real-time responsiveness. This review concludes by affirming the immense potential of MPC-based AI to revolutionize cyberattack detection in IAS. Its robust and adaptable nature offers a compelling alternative to existing methods, paving the way for securing critical infrastructure in the face of ever-evolving cyberthreats.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689052","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":"Fuzzy Intervals-Based Supervisory Control for Nonlinear Cement Grinding Process","authors":"Hachem Bennour,&nbsp;Abderrahim Fayçal Megri","doi":"10.1002/adc2.70007","DOIUrl":"https://doi.org/10.1002/adc2.70007","url":null,"abstract":"<div>\u0000 \u0000 <p>Controlling nonlinear systems remains a complex challenge, even when their dynamic models are known, due to inherent uncertainties and unpredictable behaviors that affect system performance and stability. This complexity has led to the growing adoption of multi-controller strategies supervised by advanced controllers, offering substantial advancements over the years. These strategies have evolved from simple approaches to sophisticated techniques that integrate artificial intelligence and machine learning, significantly improving the robustness, performance, and adaptability of control systems across various industries. This paper describes a novel supervisory control approach for a nonlinear cement ball mill grinding system. The proposed approach combines two controllers under the guidance of a fuzzy supervisor: A Proportional-Integral-Derivative (PID) controller, fine-tuned through the Grey Wolf Optimization (GWO) algorithm to achieve a rapid and precise dynamic response, and a Fuzzy Logic Controller (FLC), which delivers robust performance during steady-state operation while dealing with the uncertainties associated with the process. The supervisory system employs advanced fuzzy aggregation operators, specifically the 2-additive fuzzy Choquet integral, and the fuzzy arithmetic mean, to evaluate tracking error and its variation. These evaluations dynamically determine the contributions of the PID and FLC controllers, ensuring smooth transitions while augmenting the benefits of each controller. Comparative analyzes with recent control methods highlight the superiority of the proposed approach in achieving a more stable and efficient cement grinding process. This innovative approach ensures flexible and robust management of the studied system, enhancing its overall performance while being easy to implement. It also provides better adaptation to system variations and increased robustness against uncertainties and disturbances.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639291","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":"Control of Motion Reduction Cabins for Aircraft","authors":"Yukihiro Ichikawa,&nbsp;Ikuo Yamamoto,&nbsp;Hiroshi Uchihori,&nbsp;Shigeru Aso,&nbsp;Masayuki Katayama","doi":"10.1002/adc2.70006","DOIUrl":"https://doi.org/10.1002/adc2.70006","url":null,"abstract":"<p>Aircraft cabins experience translational accelerations along three axes and rotational accelerations around three axes during flight, leading to uncomfortable motion and vibrations. To mitigate these effects, this study proposes a Motion Reduction Cabin concept. To establish its feasibility, fundamental data on commercial jet transport dynamics were measured and analyzed. The measured pitch angle variation (−5° to 22°) and maximum Z-axis acceleration (4.95 m/s²) were used to define the operating range of the Motion Reduction Cabin system. These values served as key parameters in determining the required actuator response time and displacement limits. To implement the Motion Reduction Cabin, aircraft motion is categorized into angular and translational components. Angular motion can be stabilized using a gimbal mechanism, while translational motion—particularly horizontal and lateral movements—may be mitigated using a system analogous to an air caster mechanism. However, vertical motion presents a major challenge. This study proposes a novel vertical motion compensation system, which actively counteracts vertical displacements in real time. Furthermore, a preliminary MATLAB simulation was conducted to observe the basic behavior of the system. The results suggest that the proposed system has the potential to mitigate vertical disturbances, providing promising insights for the feasibility of the Motion Reduction Cabin concept.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602775","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":"Comparison of Parameter Estimation Techniques for Control Parameter Identification of Permanent Magnet Direct Current Motor Speed Control","authors":"Muhammed Reşit Çorapsız","doi":"10.1002/adc2.70005","DOIUrl":"https://doi.org/10.1002/adc2.70005","url":null,"abstract":"<div>\u0000 \u0000 <p>The proportional-integral-derivative (PID) controller is an important digital control structure that is frequently used by designers in many speed, position, and temperature applications. The main problem of such control structures is that the mathematical calculation burden is high and requires precise parameter determination. In this study, the control parameters were estimated to overcome the two main problems given above for the speed control of a Permanent Magnet Direct Current (PMDC) motor produced in real time. For this process, the Nonlinear Least Squares (NLS) optimization method with the Trust-Region-Reflective (TRR) algorithm, the Pattern Search (PS) optimization method with the Active-Set (AS) algorithm, and the Simplex Search (SS) optimization method with the AS algorithm have been proposed. The proposed techniques are explained in detail, and the Sum of Square Error (SSE) is chosen as the objective function for these techniques. The predicted controller values for a single reference were tested under different speed, load, and armature resistance conditions. The speed control of the PMDC motor, which was created using the parameters estimated over the specified simulation periods, was tested with different load conditions. According to the results obtained, while the NLS-TRR technique stands out in terms of calculation time, the SS-AS technique outperformed in terms of precise parameter estimation.</p>\u0000 </div>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594894","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":"Improving Circular Path Control Using Extended State Observers for an Industrial Overhead Crane","authors":"Nattapong Suksabai,&nbsp;Ittichote Chuckpaiwong","doi":"10.1002/adc2.70004","DOIUrl":"https://doi.org/10.1002/adc2.70004","url":null,"abstract":"<p>In industrial overhead cranes, inverters and motors are used to control motor position, velocity, and acceleration. However, higher-order derivatives depend on load characteristics, leading to inconsistent jerk profiles and deviations in circular path. Payload sway further contributes to path deviation, and although sway suppression techniques are beneficial, they extend the transient response time. This paper proposes a position feedback control technique based on extended state observers to compensate for the higher-order dynamics, and address uncertainties in the driven unit through disturbance rejection. A command smoother is analyzed to provide an equation used for path deviation prediction. The trapezoidal trajectory, expressed as a function of sine and cosine, is analyzed to use in this circular path study. A command smoother with feedforward control, is used to mitigate payload sway, demonstrating advantages over existing techniques by enabling smoother and faster motion. Several experiments were conducted on an industrial-grade overhead crane to evaluate the effects of different high-order dynamics and the effect from utilizing the sway suppression technique. The extended state observers parametrically compensate for the high-order dynamics of the trolley, resulting in better path deviation. With the proposed controller, the percent overshoot was measured as 2.1%, compared to 16.8% without the controller. The equation used to predict path deviation in circular paths is proposed. In conclusion, the use of extended state observers significantly improves circular path deviation in overhead crane applications. The proposed equation highlights the tradeoff between path deviation and rapid motion in curved paths.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489933","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}