Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances re...
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Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances remains a major threat to both people and the *** response,global initiatives are focusing on risk assessment and regulation of emerging contaminants,as demonstrated by the ongoing efforts to establish the UN’s Intergovernmental Science-Policy Panel on Chemicals,Waste,and Pollution *** review identifies the sources and impacts of emerging contaminants on planetary health,emphasizing the importance of adopting a One Health *** for monitoring and addressing these pollutants are discussed,underscoring the need for robust and socially equitable environmental policies at both regional and international *** actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.
Emerging consumer depth cameras, such as Microsoft Kinect and ASUS Xtion Pro, are low-cost depth sensors which can capture the depth maps of the scene, and obtaining color images of the corresponding scenes at the sam...
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In order to improve the control precision of permanent magnet synchronous motor servo drive, a Proportional-Integral-Differential(PID) control method based on particle swarm optimization(PSO) algorithm is proposed. Fi...
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In order to improve the control precision of permanent magnet synchronous motor servo drive, a Proportional-Integral-Differential(PID) control method based on particle swarm optimization(PSO) algorithm is proposed. Firstly, the mathematical model of the permanent magnet synchronous motor was established. Then the PSO algorithm was used to adjust the parameters of the PID controller. Finally, the simulation experiment was carried out under the MATlab/Simulink environment to test its performance. Compared with the traditional manual parameters tuning, the PID controller based on PSO algorithm had better performance and better stability.
The sliding mode observer（SMO） can effectively achieve the permanent magnet synchronous motor（PMSM） to perform position sensorless control, but there are still drawbacks of system chattering and high complexity. I...
The sliding mode observer（SMO） can effectively achieve the permanent magnet synchronous motor（PMSM） to perform position sensorless control, but there are still drawbacks of system chattering and high complexity. In this paper, an improved SMO is established based on hyperbolic tangent function and Kalman filter. The system chattering is effectively suppressed, and the accuracy of position and speed observation error is significantly improved without phase compensation. It is found that the convergence rate of the hyperbolic tangent function has a strong correlation with the system chattering degree and the speed observation error. When a is between 3 and 4, the speed error accuracy of the improved SMO is the optimum situation.
The collision and components aging of electric vehicles may lead to dramatic decrease of insulation performance in the complex application environment,which will reduce the insulation between battery pack and chassis,...
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The collision and components aging of electric vehicles may lead to dramatic decrease of insulation performance in the complex application environment,which will reduce the insulation between battery pack and chassis,and will affect the performance of on-board equipment and electronic control unit,resulting in heat accumulation effect of leakage circuit and even vehicle ***,it is critical to develop a real-time,accurate and reliable detection device to monitor the insulation resistance of the high-voltage system of electric vehicles,which is beneficial to the normal operation of electrical equipment,the safe operation of vehicles and the personal safety of *** this work,an online estimation method of insulation resistance based on battery model is proposed.
Background: systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, ...
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In this work, we present a Long Short-Term Memory Model (LSTMM) for gait phase classification based on sEMG signals to control the lower limb exoskeleton robot which can recognize 2 phases (Stand and Swing) of leg pha...
In this work, we present a Long Short-Term Memory Model (LSTMM) for gait phase classification based on sEMG signals to control the lower limb exoskeleton robot which can recognize 2 phases (Stand and Swing) of leg phases between the foot and ground. This model only needs four sEMG signals to control the lower limb exoskeleton robot helping the hemiplegia patient walking. Compared with the existing methods, the proposed model not only avoids the complex sensor systems but also enhances the accuracy of gait phase classification. The experimental results first verify the availability of sEMG data acquisition system on the lower limb exoskeleton robot made by the Shenzhen Institutes of advanced Technologies (SIAT) by quantify the system with gold standard optoelectronic system Vicon, then show that the proposed LSTMM is significantly higher on prediction accuracy and has better robustness for gait phase classification to control the lower limb exoskeleton robot with different speeds. Finally, the maximum accuracy of LSTMM on the gait phase classification is 97.89%.
The collision and components aging of electric vehicles may lead to dramatic decrease of insulation performance in the complex application environment, which will reduce the insulation between battery pack and chassis...
The collision and components aging of electric vehicles may lead to dramatic decrease of insulation performance in the complex application environment, which will reduce the insulation between battery pack and chassis, and will affect the performance of on-board equipment and electronic control unit, resulting in heat accumulation effect of leakage circuit and even vehicle fire. Therefore, it is critical to develop a real-time, accurate and reliable detection device to monitor the insulation resistance of the high-voltage system of electric vehicles, which is beneficial to the normal operation of electrical equipment, the safe operation of vehicles and the personal safety of passengers. In this work, an online estimation method of insulation resistance based on battery model is proposed.
This work proposes a way to achieve the sensorless control of permanent-magnet synchronous motor using sliding mode controller (SMC) and Sliding Mode Observer(SMO). In this Paper, the SMC is designed to replace the sp...
This work proposes a way to achieve the sensorless control of permanent-magnet synchronous motor using sliding mode controller (SMC) and Sliding Mode Observer(SMO). In this Paper, the SMC is designed to replace the speed control loop PI controller from the original permanent magnet synchronous motor control system with the sliding mode variable structure control theory. Combined with the modified SMO, the 'SMC and modified SMO' motor control system is proposed. Compared with the 'PI and modified SMO' mode, the performance of the motor control is increased substantially, the interference torque speed attenuation is decreased by 87.5%, and the speed control error was also reduced by 67.7%. There is no overshoot with the reaction speed, and significant improvement in response speed, anti-interference performance, control accuracy and observation precision are achieved. Overall, both the system control and observation performance are significantly improved.
The proportional-integral-derivative (PID) controller parameters tuning is critical for improving the performance of permanent magnet synchronous motor (PMSM) systems. To improve the performance of particle swarm opti...
The proportional-integral-derivative (PID) controller parameters tuning is critical for improving the performance of permanent magnet synchronous motor (PMSM) systems. To improve the performance of particle swarm optimization (PSO) in the PID parameters tuning, the chaos particle swarm optimization (CPSO) is adopted to tune PI parameters in this work. The PMSM vector control system is selected as the research object, and its speed loop PI controller using CPSO algorithm is implemented. The optimal PI controller parameters are obtained using the CPSO algorithm with ten iterations. The simulation is conducted using MATlab/Simulink to evaluate to the PI controller performance. Four performance indicators including overshoot, rise time, peak time and ITAE are used to evaluate the PI controller with CPSO, and the results suggest that the CPSO algorithm has better performance and stability compared with other tuning methods.
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