- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Multi-mode optimal fuzzy active vibration control of composite beams laminated with photostrictive actuators
摘要： Firstly, a multi-field coupling finite element formulation of composited beam laminated with the photostrictive actuators is developed in this paper. Moreover, an optimal fuzzy active control algorithm is also proposed on the basis of the combination of optimal control and fuzzy one. This method opens a new avenue to resolve the contradiction between the linear system control method and nonlinear actuating characteristics of photostrictive actuators. The desired control for suppressing multi-modal vibration of photoelectric laminated beam is firstly obtained through optimal control and then the fuzzy control is used to approach the desired mechanical strain induced by photostrictive actuators. Thus, the multi-mode vibration control of beam is realized. In the design process of optimal fuzzy controller, the design of fuzzy control is independent of optimal control. The simulation results demonstrate that the proposed control method can effectively realize multi-modal vibration control of photoelectric laminated beams, and the control effect of optimal fuzzy control is better than that of optimal state feedback control.
关键词： Multiple modes,Photostrictive actuators,Active control,Optimal fuzzy control algorithm,Finite element method
更新于2025-09-23 15:23:52
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[IEEE 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) - Wuxi, China (2018.10.19-2018.10.23)] 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) - Intelligent Street Lamp Control System with Dynamic Light Control Function
摘要： In order to solve the problem that the traditional street lamps cannot be controlled dynamically according to the specific conditions of the road at night, an intelligent street lamp control system based on speed and sensor detection information is designed to adjust the number of street lamps in front of the vehicle which are turned on in advance, including the illumination level of street lamps. The system combines Radio frequency identification technology to read the tag information of the vehicle through the reader installed on the street lamp and calculate the driving speed and the number of lamps to be turned on. The sensors are installed on the street lamp node to collect the environmental illumination and the vehicle driving information in real time. According to the fuzzy control strategy, the information is analyzed and calculated and the illumination level of the street lamp is adjusted accordingly. MATLAB simulation results show that the system can adjust the illumination level of the lamp quickly according to the result of the sensors, thus reducing the energy consumption of the system.
关键词： Fuzzy control,Radio frequency identification,Sensor,Vehicle detection,Dynamic control
更新于2025-09-23 15:22:29
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Adaptive Fuzzy Sliding Mode Command-Filtered Backstepping Control for Islanded PV Microgrid with Energy Storage System
摘要： This study focuses on the control of islanded photovoltaic (PV) microgrid and design of a controller for PV system. Because the system operates in islanded mode, the reference voltage and frequency of AC bus are provided by the energy storage system. We mainly designed the controller for PV system in this study, and the control objective is to control the DC bus voltage and output current of PV system. First, a mathematical model of the PV system was set up. In the design of PV system controller, command-filtered backstepping control method was used to construct the virtual controller, and the final controller was designed by using sliding mode control. Considering the uncertainty of circuit parameters in the mathematical model and the unmodeled part of PV system, we have integrated adaptive control in the controller to achieve the on-line identification of component parameters of PV system. Moreover, fuzzy control was used to approximate the unmodeled part of the system. In addition, the projection operator guarantees the boundedness of adaptive estimation. Finally, the control effect of designed controller was verified by MATLAB/Simulink software. By comparing with the control results of proportion-integral (PI) and other controllers, the advanced design of controller was verified.
关键词： islanded operation mode,Photovoltaic (PV),sliding mode,parameter adaptive,fuzzy control,command-filter backstepping
更新于2025-09-23 15:22:29
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Integrated-Circuit Enabled Adaptive Metasurface Absorber With Independent Tuning of Orthogonal Polarization Planes
摘要： This paper mainly discusses an adaptive fuzzy sliding mode control problem for a microgyroscope system via a global fast terminal sliding mode approach. The fabrication imperfections, the time varying system parameters, and the external disturbances are taken into consideration synchronously, and the corresponding dynamic model is established. A global fast terminal sliding mode control scheme is designed to guarantee that the system can reach the sliding surface and converge to equilibrium point in a shorter ?nite time from any initial state surface. Furthermore, an adaptive fuzzy control is introduced to approximate the model uncertainties and external disturbances. The chattering caused by the sliding mode control is weakened as well. Both the stability analysis and the tracking performance of the gyroscope system are proved by the Lyapunov stability theory. The effectiveness of the invoked control schemes for microgyroscope system is illustrated through the simulation results.
关键词： global fast terminal sliding mode control,adaptive fuzzy control,Microgyroscopes
更新于2025-09-23 15:21:01
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[IEEE 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) - Winterton, South Africa (2019.8.5-2019.8.6)] 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) - Maximum Rooftop Photovoltaic Hosting Capacity with Harmonics as Limiting Factor a?? Case Study for Mauritius
摘要： This paper proposes an adaptive radial basis function (RBF) neural network (NN) fuzzy control scheme to enhance the performance of shunt active power ?lter (APF).The RBF NN is utilized on the approximation of nonlinear function in the APF dynamic model and the weights of the RBF NN are adjusted online according to adaptive law from the Lyapunov stability analysis to ensure the state hitting the sliding surface and sliding along it. In order to compensate the network approximation error and eliminate the existing chattering, the sliding mode control term is adjusted by adaptive fuzzy systems, which can enhance the robust performance of the system. The simulation results of APF using the proposed method con?rm the effectiveness of the proposed controller, demonstrating the outstanding compensation performance and strong robustness.
关键词： adaptive fuzzy control,Sliding mode control,radial basis function neural network (RBF NN)
更新于2025-09-23 15:19:57
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Virtual binocular vision sensing and control of molten pool width for GMA additive manufactured thin-walled components
摘要： Gas metal arc (GMA) additive manufacturing (AM) is one of the significant wire and arc AM processes with the ability to produce large-scale metal parts in a layer by layer fashion. Despite this fact, techniques to realize process sensing and geometry control have not been perfectly developed. This study aims at molten pool width control in GMA AM using a passive vision sensing technique. A virtual binocular vision sensing system consisting of a biprism and a camera is designed to monitor the molten pool geometry. The molten pool width in a captured image pair is extracted by a series of procedures, such as sensor calibration, image pair rectification, disparity calculation, and width reconstruction. A verification test is conducted and reveals that the detection error of the sensing system is less than 3%. To keep consistent layer width in each layer, the deviation of the molten pool width is compensated by designing a fuzzy intelligent controller to adjust the arc current in real time. The effectiveness of the controller is evaluated via the deposition of thin-walled parts. The results indicate that the consistency of the molten pool width in GMA AM can be improved when employing the fuzzy controller.
关键词： fuzzy control,GMA AM,thin-walled parts,virtual binocular vision sensing,molten pool width
更新于2025-09-23 15:19:57
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[IEEE 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Xiamen, China (2019.12.17-2019.12.20)] 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Design of a Metasurface with Wide RCS Reduction Bandwidth
摘要： With the wide usage of long-term health care, research on wireless sensing system tends to focus on low power consumption. In this paper, a low-power and high-quality adaptive fuzzy resolution control system is created for wireless body sensor networks. The sampling clocks of analog-to-digital converters (ADCs) can be adaptively selected by an adaptive fuzzy resolution controller. The resolution of the detected signals can be adaptively changed according to the immediate feature of the signals. Users can set the regions of two condition-windows to create four adaptive conditions for the resolution control. The adaptive fuzzy resolution controller can produce control signals to select an appropriate sampling rate for the ADC with a fuzzy decision technique. The proposed adaptive fuzzy resolution controller was realized by VLSI implementation. It can operate at 100 MHz with only 539 gate counts, and its core area is 7124 μm2, synthesized using a 0.18-μm CMOS process. Compared with the previous work, the work presented in this paper achieved a reduction of 33.3% core area and an improved peak signal-to-noise ratio of 15.47 dB under an abnormal situation in a wireless ECG health care monitoring application.
关键词： wireless body sensor network,healthcare monitoring,Adaptive,power-efficient,fuzzy control
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Understanding hole transport across amorphous Si passivation layers in Si heterojunction solar cells using Monte Carlo simulation
摘要： Deformable models and level set methods have been extensively investigated for computerized image segmentation. However, medical image segmentation is yet one of open challenges owing to diversified physiology, pathology, and imaging modalities. Existing level set methods suffer from some inherent drawbacks in face of noise, ambiguity, and inhomogeneity. It is also refractory to control level set segmentation that is dependent on image content and evolutional strategies. In this paper, a new level set formulation is proposed by using fuzzy region competition for selective image segmentation. It is able to detect and track the arbitrary combination of selected objects or image components. To the best of our knowledge, this new formulation should be one of the first proposals in a framework of region competition for selective segmentation. Experiments on both synthetic and real images validate its advantages in selective level set segmentation.
关键词： image segmentation,region competition,level set methods,Fuzzy control,selective segmentation
更新于2025-09-23 15:19:57
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[IEEE 2018 Asia Communications and Photonics Conference (ACP) - Hangzhou (2018.10.26-2018.10.29)] 2018 Asia Communications and Photonics Conference (ACP) - Tunable Fiber Laser for On-demand Mode in C and L Bands
摘要： Deformable models and level set methods have been extensively investigated for computerized image segmentation. However, medical image segmentation is yet one of open challenges owing to diversified physiology, pathology, and imaging modalities. Existing level set methods suffer from some inherent drawbacks in face of noise, ambiguity, and inhomogeneity. It is also refractory to control level set segmentation that is dependent on image content and evolutional strategies. In this paper, a new level set formulation is proposed by using fuzzy region competition for selective image segmentation. It is able to detect and track the arbitrary combination of selected objects or image components. To the best of our knowledge, this new formulation should be one of the first proposals in a framework of region competition for selective segmentation. Experiments on both synthetic and real images validate its advantages in selective level set segmentation.
关键词： image segmentation,level set methods,Fuzzy control,region competition,selective segmentation
更新于2025-09-23 15:19:57
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[IEEE 2018 11th UK-Europe-China Workshop on Millimeter Waves and Terahertz Technologies (UCMMT) - HangZhou, China (2018.9.5-2018.9.7)] 2018 11th UK-Europe-China Workshop on Millimeter Waves and Terahertz Technologies (UCMMT) - Graphene-based THz Antenna with A Graphene-metal CPW Feeding Structure
摘要： This paper proposes an adaptive radial basis function (RBF) neural network (NN) fuzzy control scheme to enhance the performance of shunt active power ?lter (APF).The RBF NN is utilized on the approximation of nonlinear function in the APF dynamic model and the weights of the RBF NN are adjusted online according to adaptive law from the Lyapunov stability analysis to ensure the state hitting the sliding surface and sliding along it. In order to compensate the network approximation error and eliminate the existing chattering, the sliding mode control term is adjusted by adaptive fuzzy systems, which can enhance the robust performance of the system. The simulation results of APF using the proposed method con?rm the effectiveness of the proposed controller, demonstrating the outstanding compensation performance and strong robustness.
关键词： adaptive fuzzy control,Sliding mode control,radial basis function neural network (RBF NN)
更新于2025-09-19 17:13:59