In recent years, due to the popularity of computer networks, campus wireless network security has received attention from people. The campus wireless network training security risk assessment system can collect and st...
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This document highlighted a new approach to optimizing the cost-effectiveness of piezoelectric energy harvesting systems. The proposed method achieved the two fundamental objectives of (i) maximizing energy harvesting...
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This document highlighted a new approach to optimizing the cost-effectiveness of piezoelectric energy harvesting systems. The proposed method achieved the two fundamental objectives of (i) maximizing energy harvesting efficiency through optimal energy transfer to storage systems, and (ii) ensuring system stability and reliability under various mechanical stresses. For this purpose, an intelligent control algorithm has been implemented and integrated into the storage and energy management components. Further proof of concept was provided by the design and implementation of a prototype Spartan-6 board, taking advantage of advanced prototyping platforms for real-time operation and precise control. Furthermore, a comprehensive analysis, including formal evaluations, simulations and experimental tests, confirmed the system's effectiveness in improving energy harvesting performance and maintaining constant operational stability, making it a promising solution for sustainable energy applications.
Connected cruise control (CCC) refers to a type of advanced driver assistance system combined with wireless vehicle-to-vehicle (V2V) communication technology to improve control stability and driving safety. However, i...
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Connected cruise control (CCC) refers to a type of advanced driver assistance system combined with wireless vehicle-to-vehicle (V2V) communication technology to improve control stability and driving safety. However, it is urgent to investigate intelligent control algorithms to improve the adaptability of CCC in complex traffic environment. In addition, the effect of communication delays attributed to shared wireless communications on the performance degradation of the intelligent CCC design cannot be ignored. In this study, the design of deep reinforcement learning (DRL) controller for CCC system in high-dynamic traffic scenarios is investigated, which considers both time-varying leading velocity and communication delays. To be more specific, an intelligent CCC algorithm based on deep deterministic policy gradient (DDPG) is developed. According to the training samples obtained from interacting with the traffic environment, the actor network and the critic network are trained to maximize the quadratic reward function determined by state errors and control inputs for generating intelligentcontrol strategies. In particular, the effect of previous control strategies is considered in vehicle dynamics analysis, optimization problem formulation and Markov decision process (MDP) definition to compensate the performance degradation attributed to communication delays. Lastly, the effectiveness and convergence of the proposed DRL-based CCC controller are verified through numerical simulations with various conditions. The superior performance of the proposed algorithm is shown by comparing with existing traditional algorithms and state-of-the-art DRL algorithms.
As the large error and low efficiency of manual tillage, tractor tillage has become the focus of the current research. However, tractor driving requires a lot of manpower and time. Therefore, the overall efficiency of...
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As the large error and low efficiency of manual tillage, tractor tillage has become the focus of the current research. However, tractor driving requires a lot of manpower and time. Therefore, the overall efficiency of agricultural tillage is reduced. To address this problem, an intelligentcontrol system of agricultural unmanned tractor tillage trajectory based on machine vision is proposed in this paper. First, the hardware of the automatic control system of agricultural unmanned tractor is designed. Then the intelligent control algorithm is proposed to realize the software design, and the image of tractor tillage environment is processed. Finally, the adaptive path tracking algorithm is applied to realize the adaptive tracking of the agricultural unmanned tractor tillage trajectory, so as to realize the trajectory control. Experimental results show that the designed system can accurately track and control the agricultural unmanned tractor tillage trajectory and improve tractor operation efficiency.
Around the new four-wheel independent steering system, the adjustment principle of Akman angle is studied in this article. In order to improve steering stability and reduce tire wear, a new algorithm for optimal Acker...
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Around the new four-wheel independent steering system, the adjustment principle of Akman angle is studied in this article. In order to improve steering stability and reduce tire wear, a new algorithm for optimal Ackerman angle allocation at full speed is proposed. Furthermore, combined with the minimum load rule, the four-wheel rotation angle and driving force are optimized. In this process, Carsim vehicle model and MATLAB/Simulink force and angle allocation algorithm model are established. The final system simulation and performance evaluation demonstrate the effectiveness of the proposed force and angle distribution algorithm for vehicle stability and tire wear optimization.
The difference between luminance in design versus road surface in the lighting environment of long tunnels often results in the road surface luminance not reaching safety standards. To solve this problem, this study p...
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The difference between luminance in design versus road surface in the lighting environment of long tunnels often results in the road surface luminance not reaching safety standards. To solve this problem, this study proposes a method to improve the lighting environment of long tunnels. First, based on field tests and mathematical sta-tistics, the main influencing factors of the luminance difference phenomenon are found to be (in descending order) the visibility level, traffic flow, interior zone luminance, and vehicle speed. Second, the relationship between tunnel visibility and road surface luminance is quantified, and the effect of luminance difference on road surface luminance is further investigated. Considering the characteristics of luminance difference, a dynamic optimization model of lighting luminance is established. Based on the typical lighting scenes of long highway tunnels, the optimization model is then integrated with two intelligent control algorithms to establish and optimize the lighting control model. Finally, based on a combination of the dynamic optimization model and intelligentcontrol model, a method is introduced to improve the lighting environment of long tunnels, and its effectiveness is verified. The research results show that in different lighting scenes involving time periods and weather conditions, the proposed method can dynamically adjust the lighting luminance in a long tunnel to ensure that the average road surface luminance meets the safety luminance. It is shown that the safety luminance qualified rate increases by 39.58 %, 26.04 %, and 5.21 % on sunny, cloudy, and rainy days, respectively, and energy usage can be reduced by 21.59 %, 32.13 %, and 33.03 %, respectively.
One kind of new programmable controller(PLC) is introduced in this paper. The advanced embedded microprocessor and Field-Programmable Gate Array (FPGA) device are applied in the PLC system. The PLC system structure wa...
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ISBN:
(纸本)9780819473639
One kind of new programmable controller(PLC) is introduced in this paper. The advanced embedded microprocessor and Field-Programmable Gate Array (FPGA) device are applied in the PLC system. The PLC system structure was presented in this paper. It includes 32 bits Advanced RISC Machines (ARM) embedded microprocessor as control core, FPGA as control arithmetic coprocessor and CAN bus as data communication criteria protocol connected the host controller and its various extension modules. It is detailed given that the circuits and working principle, I/O interface circuit between ARM and FPGA and interface circuit between ARM and FPGA coprocessor. Furthermore the interface circuit diagrams between various modules are written. In addition, it is introduced that ladder chart program how to control the transfer info of control arithmetic part in FPGA coprocessor. The PLC, through nearly two months of operation to meet the design of the basic requirements.
The kernel of the system is an intelligent control algorithm which can recognize precisely the whole dropping-process from launch module starting up to the miniature robots touching down and then determine whether the...
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ISBN:
(纸本)9781467397148
The kernel of the system is an intelligent control algorithm which can recognize precisely the whole dropping-process from launch module starting up to the miniature robots touching down and then determine whether the robot lands finally. The controller will activate a motor to realize the separation of parachute from the landed robot. This article, based on research into the principle of the system, proposes a controlalgorithm utilizing a 3-axis digital accelerometer. At last, the related experiments shows that the approach is effectual.
The global path planning is one of key technologies of autonomous underwater vehicle's intelligentcontrol. For the problems as low efficiency of searching optimal solution and insufficient objectives decision in ...
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ISBN:
(纸本)9781538630136
The global path planning is one of key technologies of autonomous underwater vehicle's intelligentcontrol. For the problems as low efficiency of searching optimal solution and insufficient objectives decision in path planning in three-dimensional environment, the rule of resistance and velocity is obtained first, then a new hybrid based on genetic-ant algorithm is proposed. In the new algorithm, a new fusion strategy is put forward to improve the fusion efficiency and a comprehensive evaluation function is designed according to principles of energy, time and security. Furthermore, a method to determine the optimal path is presented by selecting the optimal paths corresponding to different velocity values. The simulation results in three-dimensional environment show that the new algorithm can converge to the optimal solution in a short time and the method to find the optimal path is feasible.
To the nonlinear and time-variation industrial process with uncertainties, the setting and optimization of proportion integration differentiation (PID) parameters have been always the important study topics in the aut...
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ISBN:
(纸本)9781845648251;9781845648244
To the nonlinear and time-variation industrial process with uncertainties, the setting and optimization of proportion integration differentiation (PID) parameters have been always the important study topics in the automatic control field. The current optimization design methods are often difficult to consider the system requirements for quickness, reliability, and robustness. In this paper, a method of PID controller parameters optimization is presented, which is based on the combination of neural network theory with traditional PID control theory intelligent control algorithm. Then a PID controller based on controlalgorithm was set up and used for controlling the feeding servo system of CNC machine tool. Simulation results show that the controller can realize the online self-tuning of PID parameters according to the dynamic changes of load of the CNC system. It can achieve the precise control of the system machining parameters in a variety of conditions.
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