Pub Date : 2023-06-28DOI: 10.61416/ceai.v25i2.8603
Marius Fisca, Mihail Ioan Abrudean, Vlad Muresan, Mihaela Ligia Unguresan
The research presents a protective control structure for fast and reliable high voltage power line protection that focuses on network parameters that respond to transient faults conditions, starting from the analysis of a real event. In case of overhead power lines, approximately 80% of the total registered faults have a transient character. Therefore, the management of transient faults is important because this has a direct consequence on the energy distribution process and has a large influence on the quality of energy supplied to consumers. The development of mathematical models of wide applicability, to accurately represent the propagation of a transient fault on the 110 kV lines is possible through data analysis recorded during real life events, which constitute a clear representation in time of an actual fault. The use of these mathematical models made it possible to reduce the detection time of transient faults, ensuring benefits in terms of reducing the extent of power outages, which leads to shorter recovery times. The proposed operating algorithm of the developed control structure for transient fault detection and line protection triggering allows the improvement of distance protection reaction in the event of a transient fault, to safely overcome critical moments in network operation, aspects that recommend the proposed solution for practical implementation. DOI: 10.61416/ceai.v25i2.8603
{"title":"High Voltage Power Line Transient Fault Analyzing and Modelling","authors":"Marius Fisca, Mihail Ioan Abrudean, Vlad Muresan, Mihaela Ligia Unguresan","doi":"10.61416/ceai.v25i2.8603","DOIUrl":"https://doi.org/10.61416/ceai.v25i2.8603","url":null,"abstract":"The research presents a protective control structure for fast and reliable high voltage power line protection that focuses on network parameters that respond to transient faults conditions, starting from the analysis of a real event. In case of overhead power lines, approximately 80% of the total registered faults have a transient character. Therefore, the management of transient faults is important because this has a direct consequence on the energy distribution process and has a large influence on the quality of energy supplied to consumers. The development of mathematical models of wide applicability, to accurately represent the propagation of a transient fault on the 110 kV lines is possible through data analysis recorded during real life events, which constitute a clear representation in time of an actual fault. The use of these mathematical models made it possible to reduce the detection time of transient faults, ensuring benefits in terms of reducing the extent of power outages, which leads to shorter recovery times. The proposed operating algorithm of the developed control structure for transient fault detection and line protection triggering allows the improvement of distance protection reaction in the event of a transient fault, to safely overcome critical moments in network operation, aspects that recommend the proposed solution for practical implementation. DOI: 10.61416/ceai.v25i2.8603","PeriodicalId":50616,"journal":{"name":"Control Engineering and Applied Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135210659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To effectively control the horizontal vibration of high-speed elevator car system caused by the factors such as the irregularity of the guide rail and the nonlinearity of spring-damping in guide shoes, this paper proposes an active disturbance rejection (ADR) control method based on fuzzy sliding mode. Firstly, considering the nonlinear characteristics of the spring-damping in the guide shoes, the horizontal vibration dynamic model of the elevator car system is established. Then, the guide rail excitation and the linear and nonlinear disturbances of the car are summarized into the total disturbances of the car system, which can be estimated by the designed extended state observer. On this basis, a sliding mode active disturbance rejection (SADR) control is presented, which makes the anti-vibration and anti-disturbance control of the car system highly robust. For the chattering problem caused by sliding mode control, the fuzzy control method is designed to eliminate it, and the fuzzy sliding mode active disturbance rejection (FSADR) control for the horizontal vibration of the car system is further realized. Finally, MATLAB/Simulink is utilized for simulation tests. The simulation results show that, compared with ADR and SMADR, the root mean square value, maximum value and A95 peak value of horizontal vibration acceleration through FSADR are significantly reduced. Therefore, the FSARC control method designed in this paper can effectively suppress the horizontal vibration generated during the operation of high-speed elevators. DOI: 10.61416/ceai.v25i2.8336
{"title":"Study on Fuzzy Sliding Mode Active Disturbance Rejection Control Method for Horizontal Vibration of High-Speed Elevator Car System","authors":"Qinghua Ge, Lulu Zhang, Hua Li, Qin He, Ruijun Zhang","doi":"10.61416/ceai.v25i2.8336","DOIUrl":"https://doi.org/10.61416/ceai.v25i2.8336","url":null,"abstract":"To effectively control the horizontal vibration of high-speed elevator car system caused by the factors such as the irregularity of the guide rail and the nonlinearity of spring-damping in guide shoes, this paper proposes an active disturbance rejection (ADR) control method based on fuzzy sliding mode. Firstly, considering the nonlinear characteristics of the spring-damping in the guide shoes, the horizontal vibration dynamic model of the elevator car system is established. Then, the guide rail excitation and the linear and nonlinear disturbances of the car are summarized into the total disturbances of the car system, which can be estimated by the designed extended state observer. On this basis, a sliding mode active disturbance rejection (SADR) control is presented, which makes the anti-vibration and anti-disturbance control of the car system highly robust. For the chattering problem caused by sliding mode control, the fuzzy control method is designed to eliminate it, and the fuzzy sliding mode active disturbance rejection (FSADR) control for the horizontal vibration of the car system is further realized. Finally, MATLAB/Simulink is utilized for simulation tests. The simulation results show that, compared with ADR and SMADR, the root mean square value, maximum value and A95 peak value of horizontal vibration acceleration through FSADR are significantly reduced. Therefore, the FSARC control method designed in this paper can effectively suppress the horizontal vibration generated during the operation of high-speed elevators. DOI: 10.61416/ceai.v25i2.8336","PeriodicalId":50616,"journal":{"name":"Control Engineering and Applied Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135354260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.61416/ceai.v25i2.8352
Edgar Martinez, Rafael Murrieta-Cid, Hector Becerra
This work proposes an approach for wall following with a differential drive robot in a polygonal environment using laser range finder measurements.We propose an automaton which manages the robot observationsand selects the control set-points according to the state in theautomaton. We also propose a super-twisting sliding-mode control whichrapidly reaches the control set-points.The approach allows the robot to continuously move without the need ofstopping when obstacles get in the path of the robot. Thisapproach allows the robot to following the walls fast and robustly.The wall following capability can be used to explore an unknown environment orto find objects in the environment. DOI: 10.61416/ceai.v25i2.8352
{"title":"An Automaton and Super-Twisting Sliding-Mode Control for Wall Following","authors":"Edgar Martinez, Rafael Murrieta-Cid, Hector Becerra","doi":"10.61416/ceai.v25i2.8352","DOIUrl":"https://doi.org/10.61416/ceai.v25i2.8352","url":null,"abstract":"This work proposes an approach for wall following with a differential drive robot in a polygonal environment using laser range finder measurements.We propose an automaton which manages the robot observationsand selects the control set-points according to the state in theautomaton. We also propose a super-twisting sliding-mode control whichrapidly reaches the control set-points.The approach allows the robot to continuously move without the need ofstopping when obstacles get in the path of the robot. Thisapproach allows the robot to following the walls fast and robustly.The wall following capability can be used to explore an unknown environment orto find objects in the environment. DOI: 10.61416/ceai.v25i2.8352","PeriodicalId":50616,"journal":{"name":"Control Engineering and Applied Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135354264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.61416/ceai.v25i2.8439
Radu Florin Negoita, Theodor Borangiu, Silviu Raileanu
The research described in this paper concerns the automation of back-office workflows for the capacity management of hospitality services: continuously monitoring clients’ reservations and hotel registrations and automatically updating the decisions that establish optimal staffing levels to assure dependable and accurate services with minimum personnel cost, and maintaining a minimal stable workforce level. The service capacity management workflows connect multiple instances of online reservation and front-office customer registration processes (booking, check-in taxation, check-out invoicing according to the back-office strategy) with a combination of marketing- and operations-oriented back-office processes that: a) best match capacity and demand for quality services, and b) optimize the staffing levels and personnel workshift schedules. These workflows with many operations and complex timing are automated with the Robotic Process Automation (RPA) technology that uses AI techniques for seasonality prediction of confirmed service demand. A case study of optimal hotel staff assignment with RPA using the Blue Prism scheduler is included, and the gains of using RPA solutions are presented. DOI: 10.61416/ceai.v25i2.8439
{"title":"Prediction-based Optimization of Service Capacity with Robotic Process Automation","authors":"Radu Florin Negoita, Theodor Borangiu, Silviu Raileanu","doi":"10.61416/ceai.v25i2.8439","DOIUrl":"https://doi.org/10.61416/ceai.v25i2.8439","url":null,"abstract":"The research described in this paper concerns the automation of back-office workflows for the capacity management of hospitality services: continuously monitoring clients’ reservations and hotel registrations and automatically updating the decisions that establish optimal staffing levels to assure dependable and accurate services with minimum personnel cost, and maintaining a minimal stable workforce level. The service capacity management workflows connect multiple instances of online reservation and front-office customer registration processes (booking, check-in taxation, check-out invoicing according to the back-office strategy) with a combination of marketing- and operations-oriented back-office processes that: a) best match capacity and demand for quality services, and b) optimize the staffing levels and personnel workshift schedules. These workflows with many operations and complex timing are automated with the Robotic Process Automation (RPA) technology that uses AI techniques for seasonality prediction of confirmed service demand. A case study of optimal hotel staff assignment with RPA using the Blue Prism scheduler is included, and the gains of using RPA solutions are presented. DOI: 10.61416/ceai.v25i2.8439","PeriodicalId":50616,"journal":{"name":"Control Engineering and Applied Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135354258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.61416/ceai.v25i2.8307
Xinyu Long, Mingwei Sun, Zengqiang Chen
The crane is a typical underactuated plant, which makes the trajectory planning and control to be challenging. To solve this problem, parameterized reduced-dimension trajectory planning and tracking control are carried out. The plant is reduced in dimension by using the differential flatness (DF) method, wherein the state and control variables are represented directly through the flat output (FO). Combined with the pseudospectral method (PSM) wherein multiple constraints are taken into account, the FO is parameterized by using the polynomial functions, and the trajectory planning in the FO space is transformed into a parameter planning problem. By doing so, it can reduce the degree of freedoms to be optimized. For the high-order terms and various disturbances in the FO, the extended state observer is used for estimation and compensation. Both numerical simulation and hardware experiments are performed to demonstrate the feasibility and efficiency of the proposed method. DOI: 10.61416/ceai.v25i2.8307
{"title":"Efficient Trajectory Planning and Tracking Control for Underactuated Crane","authors":"Xinyu Long, Mingwei Sun, Zengqiang Chen","doi":"10.61416/ceai.v25i2.8307","DOIUrl":"https://doi.org/10.61416/ceai.v25i2.8307","url":null,"abstract":"The crane is a typical underactuated plant, which makes the trajectory planning and control to be challenging. To solve this problem, parameterized reduced-dimension trajectory planning and tracking control are carried out. The plant is reduced in dimension by using the differential flatness (DF) method, wherein the state and control variables are represented directly through the flat output (FO). Combined with the pseudospectral method (PSM) wherein multiple constraints are taken into account, the FO is parameterized by using the polynomial functions, and the trajectory planning in the FO space is transformed into a parameter planning problem. By doing so, it can reduce the degree of freedoms to be optimized. For the high-order terms and various disturbances in the FO, the extended state observer is used for estimation and compensation. Both numerical simulation and hardware experiments are performed to demonstrate the feasibility and efficiency of the proposed method. DOI: 10.61416/ceai.v25i2.8307","PeriodicalId":50616,"journal":{"name":"Control Engineering and Applied Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135354259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.61416/ceai.v25i2.8343
Baochen Liu, Xiaobang Sun, Conghao Liu, Jun Xiang
This paper proposes an algorithm combining the improved whale optimization algorithm (WOA) and GM (1,1) to predict the number of qualified products in the test batches of supercapacitor modules. Based on this algorithm, a quality prewarning system is developed on LabVIEW software. First, the GM (1,1) gray prediction model is established with the number of qualified products in the test batch as the original sequence, and then a nonlinear iterative parameter is proposed to improve the WOA. The improved WOA is used to optimize the background value sequence in the GM (1,1) gray prediction model, to obtain the optimal prediction algorithm. Then, on the LabVIEW software platform, the simulation of the GM (1,1) gray prediction model, the algorithm combining WOA and GM (1,1) and the algorithm combining the improved WOA and GM (1,1) are carried out for fifty groups of original data series. Taking one group of simulation data results as an example, the relative error of the prediction value of the algorithm combining the improved WOA and GM (1,1) is 0.0004%, which is better than 0.0112% of the algorithm combining the WOA and GM (1,1) and 1.5429% of the GM (1,1) gray prediction model. Finally, the quality prewarning system of the supercapacitor module is developed by using LabVIEW software, which provides a more accurate quality prewarning function for the test process of the supercapacitor module. DOI: 10.61416/ceai.v25i2.8343
{"title":"Supercapacitor module quality prewarning based on the improved whale optimization algorithm and GM (1,1) gray prediction model","authors":"Baochen Liu, Xiaobang Sun, Conghao Liu, Jun Xiang","doi":"10.61416/ceai.v25i2.8343","DOIUrl":"https://doi.org/10.61416/ceai.v25i2.8343","url":null,"abstract":"This paper proposes an algorithm combining the improved whale optimization algorithm (WOA) and GM (1,1) to predict the number of qualified products in the test batches of supercapacitor modules. Based on this algorithm, a quality prewarning system is developed on LabVIEW software. First, the GM (1,1) gray prediction model is established with the number of qualified products in the test batch as the original sequence, and then a nonlinear iterative parameter is proposed to improve the WOA. The improved WOA is used to optimize the background value sequence in the GM (1,1) gray prediction model, to obtain the optimal prediction algorithm. Then, on the LabVIEW software platform, the simulation of the GM (1,1) gray prediction model, the algorithm combining WOA and GM (1,1) and the algorithm combining the improved WOA and GM (1,1) are carried out for fifty groups of original data series. Taking one group of simulation data results as an example, the relative error of the prediction value of the algorithm combining the improved WOA and GM (1,1) is 0.0004%, which is better than 0.0112% of the algorithm combining the WOA and GM (1,1) and 1.5429% of the GM (1,1) gray prediction model. Finally, the quality prewarning system of the supercapacitor module is developed by using LabVIEW software, which provides a more accurate quality prewarning function for the test process of the supercapacitor module. DOI: 10.61416/ceai.v25i2.8343","PeriodicalId":50616,"journal":{"name":"Control Engineering and Applied Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135354261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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