Advanced Control for Applications最新文献

{"title":"Improved performance and robustness of synchronous reluctance machine control using an advanced sliding mode and direct vector control","authors":"Belkacem Selma,&nbsp;Elhadj Bounadja,&nbsp;Bachir Belmadani,&nbsp;Boumediene Selma","doi":"10.1002/adc2.178","DOIUrl":"10.1002/adc2.178","url":null,"abstract":"<p>This article focuses on improving the control approach for a synchronous reluctance motor (SynRM) drive powered by a two-level pulse width modulation (PWM) inverter. While classical sliding mode control (SMC) has been extensively used in control system design, it comes with various drawbacks such as pronounced chattering effects, considerable transient state errors, and reduced robustness. These limitations hinder its practical applicability. To enhance the performance of the SynRM, this paper introduces a novel strategy that combines direct vector control (DVC) with advanced sliding mode control (ASMC), here referring to third-order sliding mode command (TOSMC), for regulating speed and dq-axis stator currents. The primary objective of this approach is to achieve precise and efficient control while minimizing total harmonic distortion (THD) in current and reducing output torque fluctuations. Notably, this strategy capitalizes on the strengths of TOSMC and DVC. The efficacy of the proposed control scheme is verified through two sets of thorough simulations realized in MATLAB/Simulink environment. The first set of simulations encompasses the load–torque test, where the motor is subjected to two different levels of load torque. The results from these tests showcase the control scheme's performance under varying load conditions. The second set of simulations involves the speed variation test, where intentional changes are applied to the motor's speed. This test assesses the control approach's ability to handle dynamic speed changes effectively. The proposed control strategy is further compared with conventional control methods, including proportional–integral and second-order sliding mode command (SOSMC) controls. The results consistently demonstrate the superior performance of the novel approach in terms of accurate control, robustness, and overall stability. The combination of DVC and TOSMC offers a promising avenue for achieving enhanced motor control in the presence of load disturbances and speed variations.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.178","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138980170","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 QGA algorithm improved by gradient descent in fault diagnosis and location of distributed distribution network","authors":"Fan Yang,&nbsp;Jiawen Chen,&nbsp;Jinyang Li,&nbsp;Zhichun Yang,&nbsp;Yanchun Cao","doi":"10.1002/adc2.172","DOIUrl":"10.1002/adc2.172","url":null,"abstract":"<p>A fault diagnosis and localization approach for distributed distribution networks is created using an upgraded quantum genetic algorithm to swiftly identify and detect flaws in the network. In this method, the dynamic rotation strategy in gradient descent method is used to update the quantum gate to enhance the convergence speed, that is, the gradient descent quantum genetic algorithm is constructed. The results of single fault and multiple fault simulation test on the distribution network model of regional node of distributed power supply show that the average iteration of gradient descent quantum genetic algorithm 85.36, 86.35, 88.24, and 88.69 times can reach the target optimal value. In four different cases, the algorithm of gradient descent quantum genetic algorithm can reach the optimal by iterating 88, 91, 92, and 90 times, respectively. Compared with other algorithms, the convergence rate of gradient descent quantum genetic algorithm is the fastest in the four experimental cases. The consistency between the output score and the real score of the gradient descent quantum genetic algorithm is above 0.9. The results above show that the algorithm is effective. The optimization ability and stability of the algorithm are also stronger, and it has certain application potential.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.172","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982571","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 high-gain observer-based sliding mode controller for pitch and yaw position control of an AUV","authors":"Ravishankar P. Desai,&nbsp;Narayan S. Manjarekar","doi":"10.1002/adc2.177","DOIUrl":"10.1002/adc2.177","url":null,"abstract":"<p>This article addresses a trajectory tracking control problem concerning an autonomous underwater vehicle's pitch and yaw channel dynamics in the presence of model uncertainties, underwater disturbances, and input saturation. Three different observers are introduced to estimate unknown state variables: a Luenberger-type cubic observer, a sliding mode observer, and a high-gain observer (HGO). Initially, a backstepping controller is employed to tackle the tracking problem, extending it to incorporate backstepping sliding mode control (SMC). The mentioned observers are utilized in both aspects of the controller design. Our proposed control law assesses trajectory tracking performance by introducing virtual control inputs, with the sliding surface designed to guide the current state variables toward approximating the virtual state variables. By combining backstepping and SMC, ensure that the state variables of the closed-loop system converge to the desired state using the HGO. A rigorous analysis is incorporated to validate the robust performance of our proposed control law under conditions of model uncertainties and underwater disturbances. Furthermore, the control law is extended for anti-windup compensation, mitigating adverse effects on stern and rudder plane saturation levels. Lyapunov stability theory is adopted to establish the stability of the closed-loop system. Our simulation results convincingly demonstrate the effectiveness of the HGO-based backstepping SMC law compared to alternative control approaches.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.177","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138592552","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 analysis of fuzzy control PID temperature control system based on ARM in petroleum engineering","authors":"Hongtao He","doi":"10.1002/adc2.175","DOIUrl":"10.1002/adc2.175","url":null,"abstract":"<p>With the speed growth of petroleum engineering, the requirements for the temperature control performance of petroleum heat transfer oil boilers are becoming higher. Traditional temperature control systems have problems such as poor temperature control accuracy. To address these issues, a temperature control system for petroleum heat transfer oil boilers based on microprocessors and proportional-integral-derivative is designed. The research first studies the fuzzy proportional-integral-derivative control system, and then combines it with a microprocessor to design a new temperature control system. Finally, experiments and practical applications are used to assess the effectiveness of the temperature control system. The results denote that in the simulation experiment, the temperature recognition accuracy of the microprocessor proportional-integral-derivative system is 93.26%. At the same time, the system increases the temperature of the oil outlet to around 100°C after about 4 min of boiler operation, and maintains the stable temperature of the oil outlet continuously. In the study of overshoot, the average overshoot value of the system is 10.03%, and the average steady-state error value is 3.71%. These verification indicators are superior to the comparative control system, indicating that the fuzzy control proportional-integral-derivative temperature control system based on microprocessors has good effects in the application of petroleum heat transfer oil boilers. Through this system, the stability and control accuracy of boiler temperature can be improved, and intelligent control of the boiler can be achieved. This is of great meaning for raising the energy and work efficiency of boilers, and reducing energy waste.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.175","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139214163","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":"Exploration on 3D imaging model construction of clothing fitting based on virtual reality technology","authors":"Jingyuan Ren,&nbsp;Xiaoyan Hu","doi":"10.1002/adc2.173","DOIUrl":"10.1002/adc2.173","url":null,"abstract":"<p>With the continuous development of virtual reality technology (VRt), the clothing industry has begun to use VRt to build three-dimensional clothing fitting models, which provide consumers with a comprehensive range of fitting effects. However, the traditional 3D (three-dimensional) imaging model construction method for clothing has certain shortcomings. For example, the construction of fitting models is a process from planar to three-dimensional, while the three-dimensional fitting model is a process from two-dimensional to three-dimensional, which makes it impossible for users to obtain a more intuitive, visual, and comprehensive fitting effect during fitting. On the basis of summarizing the existing methods for building 3D imaging models of clothing, this paper proposed a method for building 3D clothing fitting models based on VRt and applied it to actual clothing fitting. This provided consumers with a comprehensive method for fitting clothing, thereby improving the shopping efficiency and quality of consumers when purchasing clothing. The research results show that the proportion of positive evaluations using VRt systems was 92%, while the proportion of positive evaluations using conventional technology systems was only 10%, indicating a positive relationship between VRt and the construction of 3D imaging models for clothing fitting. The VRt-based clothing fitting system has strong practical significance, but it is still in the preliminary exploration stage. The system proposed in this paper does not include face modeling function. Therefore, in the future, we can consider adding a face reconstruction module to build a more personalized human model through photo reconstruction and other ways.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.173","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139249048","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":"NSGA-II algorithm-based automated cigarette finished goods storage level optimization research","authors":"Yewei Hu,&nbsp;Guangjun Dong,&nbsp;Bin Wang,&nbsp;Xiyao Liu,&nbsp;Jun Wen,&nbsp;Ming Dai,&nbsp;Zongrui Wu","doi":"10.1002/adc2.171","DOIUrl":"10.1002/adc2.171","url":null,"abstract":"<p>With the growth of Internet of Things technology, more and more businesses are implementing automated cargo storage systems. By using an appropriate automated storage space allocation model, these businesses can significantly reduce their storage pressure while saving money on logistics and increasing the effectiveness of their product distribution. Therefore, the study is based on the non-dominated sorting genetic algorithms II (non-dominated sorting genetic algorithm, NSGA II), which combines the three basic principles of space allocation as the objective function applied to the allocation model of the algorithm, in order to optimize the space model for automated storage of finished cigarettes. The algorithm is run to obtain 20 Pareto solutions and examine their three objective functions. The experiment's findings revealed, after optimizing the NSGA-II algorithm in this study, the average reduction rate of shipping efficiency is 32%, the average reduction rate of shelf stability is 54%, and the average reduction rate of product correlation is about 77%, indicating that the algorithm optimization is highly effective.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.171","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135291697","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 improved support vector machine model in fault diagnosis and prediction of power transformers","authors":"Yanming Wang","doi":"10.1002/adc2.170","DOIUrl":"10.1002/adc2.170","url":null,"abstract":"<p>Power transformers undertake the task of transforming voltage and transmitting electrical energy. Its operating status is directly connected with the stability and safety of the whole power system, and it is very important to judge the operating conditions of power transformers and diagnose fault types. The use of dissolved gas analysis technology in oil can provide preliminary fault diagnosis for transformers. However, with the increasing demand for fault diagnosis accuracy in modern electrical equipment, relying only on dissolved gas analysis technology in oil cannot satisfy the demands. To lift the transformer fault diagnosis accuracy, this study introduces the K-means algorithm into the model and constructs a high-precision and fast convergence diagnosis method and a power transformer fault location recognition model. In the example analysis, kernel functions were selected for training five typical gases to obtain the optimal parameters, and their prediction curves and errors were analyzed. Its diagnostic accuracy is 98.4%, and the error in all five gases is within 1 (uL/L). The average error of the improved support vector machine intelligent algorithm is lower than that of the previous model and other prediction methods. By testing the same sample data, the correctness of this method was verified. The significance of improving support vector machines lies in further improving the performance and applicability of the original support vector machine algorithm, providing a basis for future transformer maintenance and contributing to social development and continuous improvement of economic benefits.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.170","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135291334","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":"Design of auto obstacle avoidance system based on machine learning under the background of intelligent transportation","authors":"Ying Wang","doi":"10.1002/adc2.164","DOIUrl":"10.1002/adc2.164","url":null,"abstract":"<p>With the process of urbanization and the increase in car ownership, traffic problems are becoming increasingly prominent. In order to improve traffic mobility and improve traffic safety, a machine learning based autonomous obstacle avoidance system was studied and designed in the context of intelligent transportation. Design an obstacle avoidance hardware system consisting of a tracking sensor module, an intelligent patrol module, an obstacle avoidance sensor module, and a motor module. Through the coordination and cooperation of multiple modules, the adaptive ability of the obstacle avoidance system is improved. On the basis of hardware design, a road coordinate system is established, and the lane-changing path is planned with the longitudinal, lateral distance and speed of the ego vehicle and the preceding vehicle as input, and the vehicle steering and lane-changing control is completed using the front wheel angle of the ego vehicle as the control quantity. The model predictive control method is used for obstacle avoidance trajectory planning. Based on the obstacle avoidance path planning results, the reinforcement learning method is used to design the vehicle's autonomous obstacle avoidance early warning to improve the efficiency of obstacle avoidance. The experimental results show that the designed system can maintain the lateral stability of the vehicle under continuous steering conditions, and the fit between the path tracking and the reference path is better, that is, the vehicle obstacle avoidance control effect is better; the convergence speed is faster. The vehicle autonomous obstacle avoidance warning time is short, which can ensure the safety of the vehicle to the greatest extent. This research achievement will provide important support for the development and practical application of intelligent transportation systems, and promote innovation and progress in the transportation field.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.164","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136079053","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":"An almost globally stable adaptive phase-locked loop for synchronization of a voltage source converter to a weak grid","authors":"Daniele Zonetti,&nbsp;Alexey Bobtsov,&nbsp;Romeo Ortega,&nbsp;Nikolay Nikolaev,&nbsp;Oriol Gomis-Bellmunt","doi":"10.1002/adc2.166","DOIUrl":"10.1002/adc2.166","url":null,"abstract":"<p>In this article, we are interested in the problem of <i>adaptive synchronization</i> of a voltage source converter with a possibly weak grid with unknown angle and frequency. To guarantee a suitable synchronization with the angle of the three-phase grid voltage we design an adaptive observer for such a signal requiring measurements only at the point of common coupling. Then we propose an alternative certainty-equivalent, adaptive phase-locked loop that ensures the angle estimation error goes to zero for almost all initial conditions. Although well-known, for the sake of completeness, we also present a PI controller with feedforward action that ensures the converter currents converge to an arbitrary desired value. Relevance of the theoretical results and their robustness to variation of the grid parameters are thoroughly discussed and validated in the challenging scenario of a converter connected to a grid with low short-circuit-ratio.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.166","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135898621","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":"Multi-narrow type obstacle avoidance algorithm for UAV swarm based on game theory","authors":"Ye Lin,&nbsp;Zhenyu Na,&nbsp;Jialiang Liu,&nbsp;Yun Lin","doi":"10.1002/adc2.168","DOIUrl":"10.1002/adc2.168","url":null,"abstract":"<p>A Flocking obstacle avoidance algorithm based on the extensive game with perfect information is proposed for the blockage problem of UAV swarm in front of multi-narrow type obstacles. The two UAVs closest to the target are selected as participants of the game, and the game tree is defined to determine the combination of the motion strategies of the two UAVs to obtain the payoff matrix. Determine the subgame perfect Nash equilibrium to get the optimal strategy, and give the UAVs different motion states respectively so as to ensure that the UAVs can successfully pass multi-narrow type obstacles. Simulation results demonstrate that the proposed algorithm has a higher over-hole rate in the case of the multi-narrow type obstacle compared to the static game-based Flocking obstacle avoidance algorithm.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.168","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135537640","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}