A three-phase 3.3kV/400kVA voltage source converter (VSC) based on series-connected power devices for medium voltage variable speed drives is designed in this paper. The series-connected power devices are balanced using an active clamping circuit, which consists of an auxiliary switch and a capacitor. During the switching period, the power device voltage will be clamped at the voltage of ACM capacitor. By balancing the voltages of ACM capacitors, we can balance the voltages of series-connected power devices as well. The balancing circuit does not affect the switching of main power devices, and the power devices in the prototype switch at 10kHz. The power loss of the balancing circuit is minor. In each arm of the prototype, double-sided cooling modules as well as heatsinks are stacked vertically to series connect 6 power devices. Experimental tests on the prototype have been tested under 1kV with 4 power devices connected in each arm, and the voltage imbalance degree of the 4 series-connected power devices is less than 5%. Thermal simulation results show the junction temperature is 79°C under the rated power 400kVA. The power density of the prototype is 4.3MVA/m3.
{"title":"Three-phase Voltage Source Converters Based on Series-Connected Power devices for Medium Voltage Variable Speed Drives","authors":"Jinshuai Wang, Shuai Shao, Yineng Shi, Qian Chen, Junming Zhang","doi":"10.1109/IECON49645.2022.9968953","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968953","url":null,"abstract":"A three-phase 3.3kV/400kVA voltage source converter (VSC) based on series-connected power devices for medium voltage variable speed drives is designed in this paper. The series-connected power devices are balanced using an active clamping circuit, which consists of an auxiliary switch and a capacitor. During the switching period, the power device voltage will be clamped at the voltage of ACM capacitor. By balancing the voltages of ACM capacitors, we can balance the voltages of series-connected power devices as well. The balancing circuit does not affect the switching of main power devices, and the power devices in the prototype switch at 10kHz. The power loss of the balancing circuit is minor. In each arm of the prototype, double-sided cooling modules as well as heatsinks are stacked vertically to series connect 6 power devices. Experimental tests on the prototype have been tested under 1kV with 4 power devices connected in each arm, and the voltage imbalance degree of the 4 series-connected power devices is less than 5%. Thermal simulation results show the junction temperature is 79°C under the rated power 400kVA. The power density of the prototype is 4.3MVA/m3.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114083294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-17DOI: 10.1109/IECON49645.2022.9968518
Zhaohong Wang, Ke Xu, Yonghong Lan, Xiaofan Yang
A novel explicit model predictive control strategy is proposed for DC-DC converters in this study. Firstly, the state-space models of boost converter are established, both on-state and off-state respectively. By characteristic analysis of state-space functions, the control target is reconfigured as a linear parametric-varying (LPV) model with time-variant state matrices. Towards such target, then an explicit model predictive controller (MPC) is proposed in order to enhance transition dynamics. A novel prediction model is designed by utilizing of Tylor series. Moreover, estimated average states are given as one of the objective variables in cost function by measurement of state-space averaging (SSA) method. Consequently, the computational load of boost converter control system is alleviated adequately. At the end, two numerical simulations of voltage tracking are performed, one in waveform of slope and the other is sinusoidal. The results show remarkable performances of rapid response without any steady-state errors.
{"title":"Novel Explicit Model Predictive Control Strategy For Boost Converters Based on State-space Averaging Method","authors":"Zhaohong Wang, Ke Xu, Yonghong Lan, Xiaofan Yang","doi":"10.1109/IECON49645.2022.9968518","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968518","url":null,"abstract":"A novel explicit model predictive control strategy is proposed for DC-DC converters in this study. Firstly, the state-space models of boost converter are established, both on-state and off-state respectively. By characteristic analysis of state-space functions, the control target is reconfigured as a linear parametric-varying (LPV) model with time-variant state matrices. Towards such target, then an explicit model predictive controller (MPC) is proposed in order to enhance transition dynamics. A novel prediction model is designed by utilizing of Tylor series. Moreover, estimated average states are given as one of the objective variables in cost function by measurement of state-space averaging (SSA) method. Consequently, the computational load of boost converter control system is alleviated adequately. At the end, two numerical simulations of voltage tracking are performed, one in waveform of slope and the other is sinusoidal. The results show remarkable performances of rapid response without any steady-state errors.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114555391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-17DOI: 10.1109/IECON49645.2022.9968709
Mirhan Ürkmez, C. Kallesøe, J. Bendtsen, J. Leth
The percentage of solar energy among all installed energy sources is increasing each year. Photo-voltaic (PV) power forecasting is key to the application of control methods in systems with PV panels. In this paper, we present a method for day-ahead PV power forecasting at each time step that is easy to train and can be applied to different power data types (e.g data from hot and cold climates, with various sampling times). Predictions made before and after sunrise are handled separately. Exponentially Weighted Moving Average (EWMA) is applied on the normalized daily power data to estimate the shape of the next-day power curve for the predictions before sunrise. Then, the multiplier value which would expectedly produce the best forecast when multiplied with the estimated shape is predicted using a time-series approach. After sunrise, the observed power data is leveraged to improve the previous forecasts. The proposed method is shown to perform well on multiple data sets with varying characteristics. Also, the method is compared with some benchmarks algorithms, and the results are presented.
{"title":"Day-Ahead PV Power Forecasting for Control Applications","authors":"Mirhan Ürkmez, C. Kallesøe, J. Bendtsen, J. Leth","doi":"10.1109/IECON49645.2022.9968709","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968709","url":null,"abstract":"The percentage of solar energy among all installed energy sources is increasing each year. Photo-voltaic (PV) power forecasting is key to the application of control methods in systems with PV panels. In this paper, we present a method for day-ahead PV power forecasting at each time step that is easy to train and can be applied to different power data types (e.g data from hot and cold climates, with various sampling times). Predictions made before and after sunrise are handled separately. Exponentially Weighted Moving Average (EWMA) is applied on the normalized daily power data to estimate the shape of the next-day power curve for the predictions before sunrise. Then, the multiplier value which would expectedly produce the best forecast when multiplied with the estimated shape is predicted using a time-series approach. After sunrise, the observed power data is leveraged to improve the previous forecasts. The proposed method is shown to perform well on multiple data sets with varying characteristics. Also, the method is compared with some benchmarks algorithms, and the results are presented.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"34 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114031269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-17DOI: 10.1109/IECON49645.2022.9968972
Jannis Egelhof, P. Wolf, K. Berns
The application of autonomous vehicles becomes more and more essential. LiDAR sensors play a significant role in environmental perception. However, rain-, fog-, snow- or dust particles disturb the point clouds and affect LiDAR-based map reconstruction and object detection algorithms. Widely scattered particles can be filtered using statistics. In contrast, dense fog or dust clouds are more challenging to deal with as it is difficult to distinguish them based on their statistics from parts of the environment. Literature provides numerous examples of particle filter applications. Still, the applicability in challenging environments as the off-road domain remains unclear. Therefore, this paper reviews and tests state-of-the-art particle filters on-and off-road scenes.
{"title":"Disturbance and Particle Detection in LiDAR Data","authors":"Jannis Egelhof, P. Wolf, K. Berns","doi":"10.1109/IECON49645.2022.9968972","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968972","url":null,"abstract":"The application of autonomous vehicles becomes more and more essential. LiDAR sensors play a significant role in environmental perception. However, rain-, fog-, snow- or dust particles disturb the point clouds and affect LiDAR-based map reconstruction and object detection algorithms. Widely scattered particles can be filtered using statistics. In contrast, dense fog or dust clouds are more challenging to deal with as it is difficult to distinguish them based on their statistics from parts of the environment. Literature provides numerous examples of particle filter applications. Still, the applicability in challenging environments as the off-road domain remains unclear. Therefore, this paper reviews and tests state-of-the-art particle filters on-and off-road scenes.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124379309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-17DOI: 10.1109/IECON49645.2022.9968583
Cristian Díaz Martín, E.D. Aranda, S. P. Litrán, J. Semião
In this paper, a new quasi-resonant DC-DC converter topology is presented, which is the result of combining simpler configurations of single input and single output. The proposed topology is a combination of the Zeta and Buck-Boost resonant configurations, which allows a bipolar output voltage to be generated using a single power switch. In addition, the combination converter can operate in step-up and step-down modes and is a transformerless converter, allowing a reduction in size and an increase of the power density. A complete analysis of the proposed converter has been carried out and subsequently verified through simulation. The results obtained show that this new topology is suitable for multiple applications requiring bipolar voltage and high-power density.
{"title":"Quasi-Resonant DC-DC Converter Single-Switch for Single-Input Bipolar-Output Applications","authors":"Cristian Díaz Martín, E.D. Aranda, S. P. Litrán, J. Semião","doi":"10.1109/IECON49645.2022.9968583","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968583","url":null,"abstract":"In this paper, a new quasi-resonant DC-DC converter topology is presented, which is the result of combining simpler configurations of single input and single output. The proposed topology is a combination of the Zeta and Buck-Boost resonant configurations, which allows a bipolar output voltage to be generated using a single power switch. In addition, the combination converter can operate in step-up and step-down modes and is a transformerless converter, allowing a reduction in size and an increase of the power density. A complete analysis of the proposed converter has been carried out and subsequently verified through simulation. The results obtained show that this new topology is suitable for multiple applications requiring bipolar voltage and high-power density.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124501717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-17DOI: 10.1109/IECON49645.2022.9968632
Saumya Karan, K. Mandal, S. Chattopadhyay
This paper demonstrates the design and analysis of a novel Virtual Impedance based Lyapunov Controller for DC-DC boost converter fed Permanent Magnet Direct Current (PMDC) drive. The motor drive acts as Constant Power Load (CPL) destabilizing the system in open loop condition. The non-minimum phase nature of boost converter restricts the use of conventional Voltage Mode Control (VMC) method due to slowed dynamics. Two Loop Control provides an active damping to stabilize the system in closed loop. On the other hand, the Virtual Impedance (VI) Control provides active damping to the system in a more effective way with advantages of wide duty-ratio operation, improved transient performance and efficiency. In case of Lyapunov Controller (LC), an improved supply and load disturbance rejection is achieved. The proposed controller offers excellent dynamics and control of dc-link voltage and speed of motor. It also offers way better transient performance and is insensitive to large-signal perturbations. The comparison for conventional Two Loop Control, Virtual Impedance Control, Lyapunov Controller and the proposed controller has been carried out. The theoretical analysis is validated by simulation results.
{"title":"Virtual Impedance based Lyapunov Controller for DC-DC Converter-fed Constant Power Load","authors":"Saumya Karan, K. Mandal, S. Chattopadhyay","doi":"10.1109/IECON49645.2022.9968632","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968632","url":null,"abstract":"This paper demonstrates the design and analysis of a novel Virtual Impedance based Lyapunov Controller for DC-DC boost converter fed Permanent Magnet Direct Current (PMDC) drive. The motor drive acts as Constant Power Load (CPL) destabilizing the system in open loop condition. The non-minimum phase nature of boost converter restricts the use of conventional Voltage Mode Control (VMC) method due to slowed dynamics. Two Loop Control provides an active damping to stabilize the system in closed loop. On the other hand, the Virtual Impedance (VI) Control provides active damping to the system in a more effective way with advantages of wide duty-ratio operation, improved transient performance and efficiency. In case of Lyapunov Controller (LC), an improved supply and load disturbance rejection is achieved. The proposed controller offers excellent dynamics and control of dc-link voltage and speed of motor. It also offers way better transient performance and is insensitive to large-signal perturbations. The comparison for conventional Two Loop Control, Virtual Impedance Control, Lyapunov Controller and the proposed controller has been carried out. The theoretical analysis is validated by simulation results.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127693069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-17DOI: 10.1109/IECON49645.2022.9968832
Shaoshan Jin, Wentao Zhang, Zhibo Liu, Fayuan Xie, Yongxiang Xu, J. Zou
The dead-time effect of inverter will deteriorate motor control performance. This paper presents a compensation strategy based on adaptive linear learning to improve the dead-time problem of PMSM drives. The essence of the compensation strategy is to suppress the sixth harmonic current in the synchronous reference frame. An adaptive harmonic current decomposer, self-tuned by the recursive least square algorithm, is applied to extract the sixth harmonic current in the synchronous reference frame, then the direct-axis voltage is compensated by PI controller. This method greatly suppresses the fifth and seventh harmonics in the phase current. In addition, the proposed method is easy to implement, and the effectiveness of the compensation method is verified by experiments.
{"title":"Direct-axis Dead-time Effect Compensation Strategy Based on Adaptive Linear Neuron Method for PMSM Drives","authors":"Shaoshan Jin, Wentao Zhang, Zhibo Liu, Fayuan Xie, Yongxiang Xu, J. Zou","doi":"10.1109/IECON49645.2022.9968832","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968832","url":null,"abstract":"The dead-time effect of inverter will deteriorate motor control performance. This paper presents a compensation strategy based on adaptive linear learning to improve the dead-time problem of PMSM drives. The essence of the compensation strategy is to suppress the sixth harmonic current in the synchronous reference frame. An adaptive harmonic current decomposer, self-tuned by the recursive least square algorithm, is applied to extract the sixth harmonic current in the synchronous reference frame, then the direct-axis voltage is compensated by PI controller. This method greatly suppresses the fifth and seventh harmonics in the phase current. In addition, the proposed method is easy to implement, and the effectiveness of the compensation method is verified by experiments.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127996921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-17DOI: 10.1109/IECON49645.2022.9968852
D. Martínez-Padrón, N. Patin, E. Monmasson
Power transistors are a source of electromagnetic interference (EMI) during switching due to the high levels of voltage/current transient. Reducing the switching duration can reduce the EMI generation but increases the switching power losses. For this reason, a transistor driving method has to ensure an adequate trade-off between EMI and switching losses. Several driving techniques to reduce the EMI generation have been proposed in the literature. Commonly, a spectrum analysis is used to evaluate their EMI reduction, nevertheless in this paper a more synthetic figure of merit (FOM) is proposed. It is deducted from time-frequency co-spread of both rising and falling edges of switching waveforms. The main interest of FOM is that whatever the waveform, according on Heisenberg-Gabor inequality, it is proved that the lower bound of time-frequency co-spread exists and it is reached when a Gaussian pattern is used. The FOM is validated and implemented by simulation with both theoretical and practical waveforms.
{"title":"Definition and Implementation of an EMI Figure of Merit for Switching Pattern in Power Converters","authors":"D. Martínez-Padrón, N. Patin, E. Monmasson","doi":"10.1109/IECON49645.2022.9968852","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968852","url":null,"abstract":"Power transistors are a source of electromagnetic interference (EMI) during switching due to the high levels of voltage/current transient. Reducing the switching duration can reduce the EMI generation but increases the switching power losses. For this reason, a transistor driving method has to ensure an adequate trade-off between EMI and switching losses. Several driving techniques to reduce the EMI generation have been proposed in the literature. Commonly, a spectrum analysis is used to evaluate their EMI reduction, nevertheless in this paper a more synthetic figure of merit (FOM) is proposed. It is deducted from time-frequency co-spread of both rising and falling edges of switching waveforms. The main interest of FOM is that whatever the waveform, according on Heisenberg-Gabor inequality, it is proved that the lower bound of time-frequency co-spread exists and it is reached when a Gaussian pattern is used. The FOM is validated and implemented by simulation with both theoretical and practical waveforms.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"77 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128083205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-17DOI: 10.1109/IECON49645.2022.9968615
Sangmesh V. Malge, S. Patil, A. Deshpande, R. Ugale
In this paper, the current sensorless control technique is proposed to control the mismatched dc-dc buck converter output voltage subject to external disturbances and system parameter uncertainties. The control technique is based on the combination of state and disturbance observers and the proposed terminal sliding mode controller. The primary objective is to control the converter output voltage in the presence of variations in load resistance, input supply voltage, and system parameters using a minimum number of sensors. The stability analysis of the proposed controller is performed together with state and disturbance estimations. The rigorous simulation experiments are performed to conclude that the proposed controller performs better than the existing controllers in terms of the transient and steady-state responses.
{"title":"State and Disturbance Observer based Current Sensor-less Control of Mismatched Buck Converter","authors":"Sangmesh V. Malge, S. Patil, A. Deshpande, R. Ugale","doi":"10.1109/IECON49645.2022.9968615","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968615","url":null,"abstract":"In this paper, the current sensorless control technique is proposed to control the mismatched dc-dc buck converter output voltage subject to external disturbances and system parameter uncertainties. The control technique is based on the combination of state and disturbance observers and the proposed terminal sliding mode controller. The primary objective is to control the converter output voltage in the presence of variations in load resistance, input supply voltage, and system parameters using a minimum number of sensors. The stability analysis of the proposed controller is performed together with state and disturbance estimations. The rigorous simulation experiments are performed to conclude that the proposed controller performs better than the existing controllers in terms of the transient and steady-state responses.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128123648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-17DOI: 10.1109/IECON49645.2022.9968880
Xiaolun Yang, Yvlong Yang, D. Ye, Yan Xiao, Zhao-wei Sun
In this paper, we consider the attitude tracking control problem for rigid spacecraft with external disturbances and model uncertainties. An attitude tracking predefined-time controller with predefined bound is proposed based on back-stepping. The controller can make the attitude error of spacecraft converge into a predefined bound within the predefined time with continuous and non-singular torque. Numerical simulations are carried out to illustrate the effectiveness of the controller proposed.
{"title":"Non-Singular and Continuous Back-Stepping Predefined-Time Attitude Tracking Control for Rigid Spacecraft with Predefined Bound","authors":"Xiaolun Yang, Yvlong Yang, D. Ye, Yan Xiao, Zhao-wei Sun","doi":"10.1109/IECON49645.2022.9968880","DOIUrl":"https://doi.org/10.1109/IECON49645.2022.9968880","url":null,"abstract":"In this paper, we consider the attitude tracking control problem for rigid spacecraft with external disturbances and model uncertainties. An attitude tracking predefined-time controller with predefined bound is proposed based on back-stepping. The controller can make the attitude error of spacecraft converge into a predefined bound within the predefined time with continuous and non-singular torque. Numerical simulations are carried out to illustrate the effectiveness of the controller proposed.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128147184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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