Open Access This article is licensed under a Creative Commons Attribution 4.0 International License,which permits use,sharing,adaptation,distribution and reproduction in any medium or format,as long as you give approp...
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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License,which permits use,sharing,adaptation,distribution and reproduction in any medium or format,as long as you give appropriate credit to the original author(s)and the source,provide a link to the Creative Commons licence,and indicate if changes were *** images or other third party material in this article are included in the article’s Creative Commons licence,unless indicated otherwise in a credit line to the material.
The bridge-type amplifier and the lever-type amplifier are the two frequently used displacement amplifiers in the precision engineering. However, to the knowledge of the authors, the analysis and the performance compa...
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The assembly of earphone parts in electro acoustic factory automation is a challenging problem for industrial robots. The main difficulties come from the fact that conventional industrial robots perform poorly on rapi...
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Federated learning is an emerging distributed learning paradigm which brings an efficient and privacy-preserving intelligent model for the Internet of Vehicles (IoV). Unfortunately, federated learning is vulnerable to...
Federated learning is an emerging distributed learning paradigm which brings an efficient and privacy-preserving intelligent model for the Internet of Vehicles (IoV). Unfortunately, federated learning is vulnerable to abnormal model attacks as it is hard to authenticate model parameters. Abnormal local models may slow down the convergence rate, reduce the accuracy of global models, and even deliberately control the global model in the attackers' chosen way. Furthermore, an abnormal global model may deduce sensitive information about vehicles and hinder the execution of genuine tasks. Therefore, in this paper, we propose a parameter-authentication federated learning (PAFL) scheme that can protect privacy of vehicles, such as driving habits, and defend against abnormal model attacks simultane-ously. Concretely, we equip the federated learning framework with the zero knowledge proof and Pedersen commitment to prove and authenticate the reliability of model parameters. Security and privacy analysis, as well as performance evaluation show that the PAFL scheme can successfully detect abnormal models with higher detection rate and achieve more secure global aggregation than existing representative schemes.
The inverter nonlinearity compensation has been studied by the researchers widely, however, due to the poor polarity detection ability of the discrete control system and unavoidable noises from current feedback, unide...
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The inverter nonlinearity compensation has been studied by the researchers widely, however, due to the poor polarity detection ability of the discrete control system and unavoidable noises from current feedback, unideal compensation happens when the motor speed is low and the load is small. In order to tackle with this problem. This paper presents an inverter nonlinearity compensation method in permanent magnet synchronous motor (PMSM) drives. The overall process is achieved by voltage signal injection, the only requirements are stator resistance and the maximum current of a given motor. The corresponding voltage errors are saved in look up table (LUT) and being used together with field-oriented control (FOC). In addition, a comparative study when using phase current feedback, phase current reference and phase voltage reference for compensation voltages look-up in the already established LUT is conducted. A 750-W voltage-source inverter PMSM drive controlled by the FOC algorithm is used for experiment verification, the results show that the phase current reference is the most proper signal for compensation voltages look-up, especially around the current zero-crossing condition. The comparative study in this paper can be easily applied in the real industrial application with no hardware introduction and very little algorithm change.
When the controlled current source converter is applied to HVDC transmission system composed by the pulse width modulated current source converter(PWM-CSC) and Line-Commutated Converter(LCC), the dc voltage at both en...
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When the controlled current source converter is applied to HVDC transmission system composed by the pulse width modulated current source converter(PWM-CSC) and Line-Commutated Converter(LCC), the dc voltage at both ends of the converter does not match due to the bypass of the PWM-CSC. Based on the operating principle of PWM-CSC, this paper analyses the dc voltage characteristics of TPWM applied to the current source converter, and realizes the unit power factor operation of the system combined with the indirect current control and TPWM.
With the development of SoC technology, the integration of FPGA+ARM has become the development direction of SoC. For the characteristics of integrated multi-axis motion control and motor drive, this paper selects Xili...
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With the development of SoC technology, the integration of FPGA+ARM has become the development direction of SoC. For the characteristics of integrated multi-axis motion control and motor drive, this paper selects Xilinx ZYNQ-7020 system-onchip (SOC) with integrated dual-core ARM CPU and FPGA as the hardware platform control chip, an arm core motor drive algorithm. Another ARM core completes the interactive function and motion control, and the FPGA to complete the multi-axis hardware current loop and improve the system bandwidth. The iterative learning control (ILC) technology is widely used in robots to reduce the trajectory error of robots performing repetitive tasks. Using P-type iterative learning ILC combined with feedback control , which can compensate for nonrepeating disturbance. Finally, analysis of experimental results shows that iterative learning control combined with feedback control can significantly improve tracking accuracy.
In this paper, a Continuous Descent Continuous(CDO) trajectory optimization problem is considered. In this problem, the optimal trajectory of a CDO procedure is designed. First, the CDO trajectory optimization problem...
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ISBN:
(数字)9781728176871
ISBN:
(纸本)9781728176888
In this paper, a Continuous Descent Continuous(CDO) trajectory optimization problem is considered. In this problem, the optimal trajectory of a CDO procedure is designed. First, the CDO trajectory optimization problem is formulated as multiple phase optimal control problems. Then, a trajectory optimization results for a CDO is given based on the pseudo spectral method, which guarantee the delay time costs, noise costs and fuel consumption minimum. Last, Simulations results and analysis are considered to verify effectiveness of the method.
Non-metal-based single-atom catalysts (SACs) offer low cost, simple synthesis methods, and effective regulation for substrates Herein, we developed a simplified pressurized gas- assisted process, and report the first ...
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As an important part of the mobile robot, the rod-climbing robot is mainly responsible for reliably carrying cleaning and maintenance equipment. It overcomes the effect of gravity and is attached to high-rise rods suc...
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ISBN:
(数字)9781728165905
ISBN:
(纸本)9781728165912
As an important part of the mobile robot, the rod-climbing robot is mainly responsible for reliably carrying cleaning and maintenance equipment. It overcomes the effect of gravity and is attached to high-rise rods such as pipes, utility poles, lighting poles, cable stays of bridge and lightning rods of substation. The tasks such as cleaning, detection, maintenance, etc. can be conducted more safely, efficiently and economically compared with manual work. Though, there exist some types of rod-climbing robots with different mechanical structures, their structures are too heavy or control is too complicated. This paper presents a new pressure-adsorption climbing robot, which is realized through ducted fan. Compared with the existed rod-climbing robots, the presented one have the advantages of simplified structure, easy control, small volume, light weight and strong adaptability. The feasibility of the new designed robot is experimentally verified.
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