In accordance with the feature of pure delay in monitor AGC system for cold rolling mill, a new fuzzy selftuning PID Smith prediction controller is developed. The position control model is deduced based on a single st...In accordance with the feature of pure delay in monitor AGC system for cold rolling mill, a new fuzzy selftuning PID Smith prediction controller is developed. The position control model is deduced based on a single stand cold rolling mill, and the fuzzy controller for monitor AGC system is designed. The analysis of dynamic performance for traditional PID Smith prediction controller and fuzzy self-tuning PID Smith prediction controller is done by MAT- LAB toolbox. The simulation results show that fuzzy self-tuning PID Smith controller has stronger robustness, faster response and higher static accuracy than traditional PID Smith controller.展开更多
The performance of Smith prediction monitoring automatic gauge control(AGC) system is influenced by model mismatching greatly in strip rolling process. Aiming at this problem, a feedback-assisted iterative learning co...The performance of Smith prediction monitoring automatic gauge control(AGC) system is influenced by model mismatching greatly in strip rolling process. Aiming at this problem, a feedback-assisted iterative learning control strategy, which learned unknown modeling error by using previous control information repeatedly, was introduced into Smith prediction monitoring AGC system. Firstly, conventional Smith predictor and improved Smith predictor with PI-P controller were analyzed. Secondly, on the basis of establishing of feedback-assisted iterative learning control strategy for improved Smith predictor, process control signal update law and control error were deduced, then convergence condition of this strategy was put forward and proved. Finally, after modeling the automatic position control system, the PI-P Smith prediction monitoring AGC system with feedback-assisted iterative learning control was researched through simulation. Simulation results indicate that this system remains stable during model mismatching. The robustness and response of monitoring AGC is improved by development of feedback-assisted iterative learning control strategy for PI-P Smith predictor.展开更多
The vigorous development of grid side energy storage power generation has brought unprecedented development opportunities. However, with a large number of centralized and distributed energy storage power stations conn...The vigorous development of grid side energy storage power generation has brought unprecedented development opportunities. However, with a large number of centralized and distributed energy storage power stations connected to the power grid, it will also have certain impact on the stable operation of the power grid and the power quality. In order to meet the testing requirements of AGC control management system for grid side energy storage monitoring, an automatic testing system with flexible configuration, complete functions, simple use and convenient operation is proposed in this paper.展开更多
One synthetical control method of AGC/LPC system based on intelligence control theory-neural networks internal model control method is presented. Genetic algorithm (GA) is applied to optimize the parameters of the neu...One synthetical control method of AGC/LPC system based on intelligence control theory-neural networks internal model control method is presented. Genetic algorithm (GA) is applied to optimize the parameters of the neural networks. Simulation results prove that this method is effective.展开更多
随着高比例新能源不断接入电网,电力系统整体惯量降低,频率稳定问题加剧。这使得川渝电网与主网异步后存在超低频振荡风险,对系统安全稳定运行产生了威胁。针对电力系统中的超低频振荡问题,研究了调速器侧电力系统稳定器(governor power...随着高比例新能源不断接入电网,电力系统整体惯量降低,频率稳定问题加剧。这使得川渝电网与主网异步后存在超低频振荡风险,对系统安全稳定运行产生了威胁。针对电力系统中的超低频振荡问题,研究了调速器侧电力系统稳定器(governor power system stabilizer,GPSS)和二次调频自动发电控制(automatic generation control,AGC)在抑制振荡方面的协同作用。综合考虑含GPSS和AGC的广义调速器环节建立了在超低频段下的数学模型,推导出超低频振荡下的系统开环传递函数,揭示了GPSS和AGC对稳定裕度及动态响应速度的影响,提出了临界稳定裕度的数学表达式。进一步分析发现了广义调速器环节存在临界增益,并给出了其数学隐式表达式,再结合某电网等值系统进行了求解。在此基础上,以稳定裕度为目标函数,确定了广义调速器环节参数整定的约束条件,完成了参数优化设计,实现了对超低频振荡的有效抑制,同时校正了系统稳态频率偏差。研究成果为电力系统超低频振荡的抑制及参数优化提供了理论依据和实践指导。展开更多
Automation Gauge Control(AGC) and Automatic Shape Control(ASC) are coupling each other. The coupling models of AGC-ASC synthetic system for the thickness-crown have been established and two artificial neural networks ...Automation Gauge Control(AGC) and Automatic Shape Control(ASC) are coupling each other. The coupling models of AGC-ASC synthetic system for the thickness-crown have been established and two artificial neural networks controllers are given. The simulation of computer shows that the AGC-ASC synthetic system can obtain the expected thickness and shape precision with both schemes.展开更多
基金Item Sponsored by National Natural Science Foundation of China (50634030)
文摘In accordance with the feature of pure delay in monitor AGC system for cold rolling mill, a new fuzzy selftuning PID Smith prediction controller is developed. The position control model is deduced based on a single stand cold rolling mill, and the fuzzy controller for monitor AGC system is designed. The analysis of dynamic performance for traditional PID Smith prediction controller and fuzzy self-tuning PID Smith prediction controller is done by MAT- LAB toolbox. The simulation results show that fuzzy self-tuning PID Smith controller has stronger robustness, faster response and higher static accuracy than traditional PID Smith controller.
基金Project(51074051)supported by the National Natural Science Foundation of China
文摘The performance of Smith prediction monitoring automatic gauge control(AGC) system is influenced by model mismatching greatly in strip rolling process. Aiming at this problem, a feedback-assisted iterative learning control strategy, which learned unknown modeling error by using previous control information repeatedly, was introduced into Smith prediction monitoring AGC system. Firstly, conventional Smith predictor and improved Smith predictor with PI-P controller were analyzed. Secondly, on the basis of establishing of feedback-assisted iterative learning control strategy for improved Smith predictor, process control signal update law and control error were deduced, then convergence condition of this strategy was put forward and proved. Finally, after modeling the automatic position control system, the PI-P Smith prediction monitoring AGC system with feedback-assisted iterative learning control was researched through simulation. Simulation results indicate that this system remains stable during model mismatching. The robustness and response of monitoring AGC is improved by development of feedback-assisted iterative learning control strategy for PI-P Smith predictor.
文摘The vigorous development of grid side energy storage power generation has brought unprecedented development opportunities. However, with a large number of centralized and distributed energy storage power stations connected to the power grid, it will also have certain impact on the stable operation of the power grid and the power quality. In order to meet the testing requirements of AGC control management system for grid side energy storage monitoring, an automatic testing system with flexible configuration, complete functions, simple use and convenient operation is proposed in this paper.
文摘One synthetical control method of AGC/LPC system based on intelligence control theory-neural networks internal model control method is presented. Genetic algorithm (GA) is applied to optimize the parameters of the neural networks. Simulation results prove that this method is effective.
文摘随着高比例新能源不断接入电网,电力系统整体惯量降低,频率稳定问题加剧。这使得川渝电网与主网异步后存在超低频振荡风险,对系统安全稳定运行产生了威胁。针对电力系统中的超低频振荡问题,研究了调速器侧电力系统稳定器(governor power system stabilizer,GPSS)和二次调频自动发电控制(automatic generation control,AGC)在抑制振荡方面的协同作用。综合考虑含GPSS和AGC的广义调速器环节建立了在超低频段下的数学模型,推导出超低频振荡下的系统开环传递函数,揭示了GPSS和AGC对稳定裕度及动态响应速度的影响,提出了临界稳定裕度的数学表达式。进一步分析发现了广义调速器环节存在临界增益,并给出了其数学隐式表达式,再结合某电网等值系统进行了求解。在此基础上,以稳定裕度为目标函数,确定了广义调速器环节参数整定的约束条件,完成了参数优化设计,实现了对超低频振荡的有效抑制,同时校正了系统稳态频率偏差。研究成果为电力系统超低频振荡的抑制及参数优化提供了理论依据和实践指导。
文摘Automation Gauge Control(AGC) and Automatic Shape Control(ASC) are coupling each other. The coupling models of AGC-ASC synthetic system for the thickness-crown have been established and two artificial neural networks controllers are given. The simulation of computer shows that the AGC-ASC synthetic system can obtain the expected thickness and shape precision with both schemes.
