Filament winding has emerged as the main process for carbon fiber reinforced plastic(CFRP) fabrication, and tension control plays a key role in enhancing the quality of the winding products. With the continuous improv...Filament winding has emerged as the main process for carbon fiber reinforced plastic(CFRP) fabrication, and tension control plays a key role in enhancing the quality of the winding products. With the continuous improvement of prod?uct quality and e ciency, the precision of the tension control system is constantly improving. In this paper, a novel tension control method is proposed, which can regulate the fiber tension and transport speed of the winding process by governing the outputs of three di erent driven rollers(the torque of the unwind roll, the torque of the magnetic powder brake roller, and the speed of the master speed roller) in three levels. The mechanical structures and dynamic models of the driven rollers and idle rollers are established by considering the time?varying features of the roller radius and inertia. Moreover, the influence of parameters and speed variation on fiber tension is investigated using the increment model. Subsequently, the control method is proposed by applying fiber tension in three levels accord?ing to the features of the three driven rollers. An adaptive fuzzy controller is designed for tuning the PID parameters online to control the speed of the master speed roller. Simulation is conducted for verifying the performance and sta?bility of the proposed tension control method by comparing with those of the conventional PID control method. The result reveals that the proposed method outperforms the conventional method. Finally, an experimental platform is constructed, and the proposed system is applied to a winding machine. The performance and stability of the tension control system are demonstrated via a series of experiments using carbon fiber under di erent reference speeds and tensions. This paper proposes a novel tension control method to regulate the fiber tension and transport speed.展开更多
The Photovoltaic Array has a best optimal operating point where the array operating can obtain the maximum power.However, the optimal operating point can be compromised by the strength of solar radiation,angle,and by ...The Photovoltaic Array has a best optimal operating point where the array operating can obtain the maximum power.However, the optimal operating point can be compromised by the strength of solar radiation,angle,and by the change of environment and load.Due to the constant changes in these conditions,it has become very difficult to locate the optimal operating point by following a mathematical model.Therefore,this study will focus mostly on the application of Fuzzy Logic Control theory and Three-point Weight Comparison Method in effort to locate the optimal operating point of solar panel and achieve maximum efficiency in power generation. The Three-point Weight Comparison Method is the comparison between the characteristic curves of the voltage of photovoltaic array and output power;it is a rather simple way to track the maximum power.The Fuzzy Logic Control,on the other hand,can be used to solve problems that cannot be effectively dealt with by calculation rules,such as concepts,contemplation, deductive reasoning,and identification.Therefore,this paper uses these two kinds of methods to make simulation successively. The simulation results show that,the Three-point Comparison Method is more effective under the environment with more frequent change of solar radiation;however,the Fuzzy Logic Control has better tacking efficiency under the environment with violent change of solar radiation.展开更多
光伏发电系统效率优化关键在于最大功率点跟踪(maximum power point tracking,MPPT)控制技术,传统算法在环境变化及部分阴影下存在局限。对此,设计了模糊逻辑控制策略与改进型变步长扰动观察法,后者通过自适应步长调节和双层搜索结构,...光伏发电系统效率优化关键在于最大功率点跟踪(maximum power point tracking,MPPT)控制技术,传统算法在环境变化及部分阴影下存在局限。对此,设计了模糊逻辑控制策略与改进型变步长扰动观察法,后者通过自适应步长调节和双层搜索结构,标准测试条件下效率达99.3%。实验表明,该算法具备优越的动态响应、稳态精度和环境适应性,可为光伏系统高效运行提供技术支撑。展开更多
将神经网络与比例-积分-微分(Proportion Integral Differential,PID)相结合,设计电力可编程逻辑控制器(Programmable Logic Controller,PLC)高精度温控方法。选用GX20MH01型号的温度传感器采集温度数据;选择多层前馈神经网络作为神经...将神经网络与比例-积分-微分(Proportion Integral Differential,PID)相结合,设计电力可编程逻辑控制器(Programmable Logic Controller,PLC)高精度温控方法。选用GX20MH01型号的温度传感器采集温度数据;选择多层前馈神经网络作为神经网络结构,计算网络传播数据的误差;通过神经元输出的激活数值,引进PID控制算法,整定电力系统控制器温度参数;基于专家经验知识,将输入变量划分为若干个模糊集合,以此为依据设计模糊控制规则,高精度控制电力PLC温度。对比实验结果表明:应用设计的方法进行温度控制后,电力PLC温度值稳定在目标值,波动范围极小,控制效果良好。展开更多
风光制氢已经成为了解决大规模风能和太阳能消纳的有效途径。针对传统方法未考虑锂电池储能系统和氢储能系统的功率分配和协调运行问题,提出了含电/氢复合储能的直流微电网模糊功率分配和协调控制方法,建立了碱式电解槽、储氢罐以及燃...风光制氢已经成为了解决大规模风能和太阳能消纳的有效途径。针对传统方法未考虑锂电池储能系统和氢储能系统的功率分配和协调运行问题,提出了含电/氢复合储能的直流微电网模糊功率分配和协调控制方法,建立了碱式电解槽、储氢罐以及燃料电池的数学模型,设计了模糊逻辑控制器,给出了不同接口变换器的控制方法。最后,搭建了仿真模型和基于RT-LAB硬件在环实验平台,对所提出算法和传统方法进行了仿真和实验研究。仿真和实验结果表明,所提出方法能够使得锂电池荷电状态(state of charge,SOC)和储氢罐的氢状态(state of hydrogen,SOH)逐渐趋于合理工作区间,提升锂电池的使用寿命,减小了各接口装置控制模式切换次数。展开更多
基金Supported by National Natural Science Foundation of China(Grant No.51575018)
文摘Filament winding has emerged as the main process for carbon fiber reinforced plastic(CFRP) fabrication, and tension control plays a key role in enhancing the quality of the winding products. With the continuous improvement of prod?uct quality and e ciency, the precision of the tension control system is constantly improving. In this paper, a novel tension control method is proposed, which can regulate the fiber tension and transport speed of the winding process by governing the outputs of three di erent driven rollers(the torque of the unwind roll, the torque of the magnetic powder brake roller, and the speed of the master speed roller) in three levels. The mechanical structures and dynamic models of the driven rollers and idle rollers are established by considering the time?varying features of the roller radius and inertia. Moreover, the influence of parameters and speed variation on fiber tension is investigated using the increment model. Subsequently, the control method is proposed by applying fiber tension in three levels accord?ing to the features of the three driven rollers. An adaptive fuzzy controller is designed for tuning the PID parameters online to control the speed of the master speed roller. Simulation is conducted for verifying the performance and sta?bility of the proposed tension control method by comparing with those of the conventional PID control method. The result reveals that the proposed method outperforms the conventional method. Finally, an experimental platform is constructed, and the proposed system is applied to a winding machine. The performance and stability of the tension control system are demonstrated via a series of experiments using carbon fiber under di erent reference speeds and tensions. This paper proposes a novel tension control method to regulate the fiber tension and transport speed.
文摘The Photovoltaic Array has a best optimal operating point where the array operating can obtain the maximum power.However, the optimal operating point can be compromised by the strength of solar radiation,angle,and by the change of environment and load.Due to the constant changes in these conditions,it has become very difficult to locate the optimal operating point by following a mathematical model.Therefore,this study will focus mostly on the application of Fuzzy Logic Control theory and Three-point Weight Comparison Method in effort to locate the optimal operating point of solar panel and achieve maximum efficiency in power generation. The Three-point Weight Comparison Method is the comparison between the characteristic curves of the voltage of photovoltaic array and output power;it is a rather simple way to track the maximum power.The Fuzzy Logic Control,on the other hand,can be used to solve problems that cannot be effectively dealt with by calculation rules,such as concepts,contemplation, deductive reasoning,and identification.Therefore,this paper uses these two kinds of methods to make simulation successively. The simulation results show that,the Three-point Comparison Method is more effective under the environment with more frequent change of solar radiation;however,the Fuzzy Logic Control has better tacking efficiency under the environment with violent change of solar radiation.
文摘光伏发电系统效率优化关键在于最大功率点跟踪(maximum power point tracking,MPPT)控制技术,传统算法在环境变化及部分阴影下存在局限。对此,设计了模糊逻辑控制策略与改进型变步长扰动观察法,后者通过自适应步长调节和双层搜索结构,标准测试条件下效率达99.3%。实验表明,该算法具备优越的动态响应、稳态精度和环境适应性,可为光伏系统高效运行提供技术支撑。
文摘将神经网络与比例-积分-微分(Proportion Integral Differential,PID)相结合,设计电力可编程逻辑控制器(Programmable Logic Controller,PLC)高精度温控方法。选用GX20MH01型号的温度传感器采集温度数据;选择多层前馈神经网络作为神经网络结构,计算网络传播数据的误差;通过神经元输出的激活数值,引进PID控制算法,整定电力系统控制器温度参数;基于专家经验知识,将输入变量划分为若干个模糊集合,以此为依据设计模糊控制规则,高精度控制电力PLC温度。对比实验结果表明:应用设计的方法进行温度控制后,电力PLC温度值稳定在目标值,波动范围极小,控制效果良好。
文摘风光制氢已经成为了解决大规模风能和太阳能消纳的有效途径。针对传统方法未考虑锂电池储能系统和氢储能系统的功率分配和协调运行问题,提出了含电/氢复合储能的直流微电网模糊功率分配和协调控制方法,建立了碱式电解槽、储氢罐以及燃料电池的数学模型,设计了模糊逻辑控制器,给出了不同接口变换器的控制方法。最后,搭建了仿真模型和基于RT-LAB硬件在环实验平台,对所提出算法和传统方法进行了仿真和实验研究。仿真和实验结果表明,所提出方法能够使得锂电池荷电状态(state of charge,SOC)和储氢罐的氢状态(state of hydrogen,SOH)逐渐趋于合理工作区间,提升锂电池的使用寿命,减小了各接口装置控制模式切换次数。
