In this paper, the weld pool shape control by intelligent strategy was studied. A neuron self-learning PSD controller for backside width of weld pool in pulsed GTAW with wire filler was designed. The PSD control arith...In this paper, the weld pool shape control by intelligent strategy was studied. A neuron self-learning PSD controller for backside width of weld pool in pulsed GTAW with wire filler was designed. The PSD control arithmetic was analyzed, simulating experiment by MATLAB software was done, and the validating experiments on varied heat sink workpiece and varied gap workpiece were successfully implemented. The study results show that the neuron self-learning PSD control method can attain a perfect control effect under different set values and conditions, and is suitable for the welding process with the varied structure and coefficients of control model.展开更多
A neural adaptive proportion sum differential (PSD) algorithm with errors prediction is researched. It is applied in inertial navigation system(INS) temperature control. The algorithm do not need the process's pre...A neural adaptive proportion sum differential (PSD) algorithm with errors prediction is researched. It is applied in inertial navigation system(INS) temperature control. The algorithm do not need the process's precise mathematical model and can adapt to the process parameters changing, and can deal with the process with nonlinearity. According to the Smith predictor, author developed a method that takes the predicted process error and error change as neural adaptive PSD algorithm's input. The method is effective to the system with long dead time. The results of compute simulation show that this system has characters of quickly reaction, low overshoot and good stability. It can meet the requirements of temperature control of INS.展开更多
The objective of this work is the coordinated design of controllers that can enhance damping of power system swings. With presence of flexible AC transmission system （FACTS） device as unified power flow controller ...The objective of this work is the coordinated design of controllers that can enhance damping of power system swings. With presence of flexible AC transmission system （FACTS） device as unified power flow controller （UPFC）, three specific classes of the power system stabilizers （PSSs） have been investigated. The first one is a conventional power system stabilizer （CPSS）; the second one is a dual-input power system stabilizer （dual-input PSS）; and the third one is an accelerating power PSS model （PSS2B）. Dual-input PSS and PSS2B are introduced to maintain the robustness of control performance in a wide range of swing frequency. Uncoordinated PSS and UPFC damping controller may cause unwanted interactions; therefore, the simultaneous coordinated tuning of the controller parameters is needed. The problem of coordi- nated design is formulated as an optimization problem, and particle swarm optimization （PSO） algorithm is employed to search for optimal parameters of controllers. Finally, in a system having a UPFC, comparative analysis of the results obtained from application of the dual-input PSS, PSS2B, and CPSS is presented. The eigenvalue analysis and the time-domain simulation results show that the dual-input PSS ＆ UPFC and the PSS2B ＆ UPFC coordination provide a better performance than the conventional single-input PSS ＆ UPFC coordination. Also, the PSS2B ＆ UPFC coordination has the best performance.展开更多
针对电厂中主汽温控制系统具有大滞后、非线性的特点,提出了一种新的基于 Smith 预估器的单神经元 PSD 自适应控制算法,即由 Smith 预估器和单神经元 PSD 自适应控制器组合的复合控制。并且利用Lyapunov 稳定性理论证明了单神经元自适...针对电厂中主汽温控制系统具有大滞后、非线性的特点,提出了一种新的基于 Smith 预估器的单神经元 PSD 自适应控制算法,即由 Smith 预估器和单神经元 PSD 自适应控制器组合的复合控制。并且利用Lyapunov 稳定性理论证明了单神经元自适应控制器的稳定性。实验结果表明,这种控制方式具有较好的自适应性和鲁棒性。展开更多
文摘In this paper, the weld pool shape control by intelligent strategy was studied. A neuron self-learning PSD controller for backside width of weld pool in pulsed GTAW with wire filler was designed. The PSD control arithmetic was analyzed, simulating experiment by MATLAB software was done, and the validating experiments on varied heat sink workpiece and varied gap workpiece were successfully implemented. The study results show that the neuron self-learning PSD control method can attain a perfect control effect under different set values and conditions, and is suitable for the welding process with the varied structure and coefficients of control model.
文摘A neural adaptive proportion sum differential (PSD) algorithm with errors prediction is researched. It is applied in inertial navigation system(INS) temperature control. The algorithm do not need the process's precise mathematical model and can adapt to the process parameters changing, and can deal with the process with nonlinearity. According to the Smith predictor, author developed a method that takes the predicted process error and error change as neural adaptive PSD algorithm's input. The method is effective to the system with long dead time. The results of compute simulation show that this system has characters of quickly reaction, low overshoot and good stability. It can meet the requirements of temperature control of INS.
文摘The objective of this work is the coordinated design of controllers that can enhance damping of power system swings. With presence of flexible AC transmission system （FACTS） device as unified power flow controller （UPFC）, three specific classes of the power system stabilizers （PSSs） have been investigated. The first one is a conventional power system stabilizer （CPSS）; the second one is a dual-input power system stabilizer （dual-input PSS）; and the third one is an accelerating power PSS model （PSS2B）. Dual-input PSS and PSS2B are introduced to maintain the robustness of control performance in a wide range of swing frequency. Uncoordinated PSS and UPFC damping controller may cause unwanted interactions; therefore, the simultaneous coordinated tuning of the controller parameters is needed. The problem of coordi- nated design is formulated as an optimization problem, and particle swarm optimization （PSO） algorithm is employed to search for optimal parameters of controllers. Finally, in a system having a UPFC, comparative analysis of the results obtained from application of the dual-input PSS, PSS2B, and CPSS is presented. The eigenvalue analysis and the time-domain simulation results show that the dual-input PSS ＆ UPFC and the PSS2B ＆ UPFC coordination provide a better performance than the conventional single-input PSS ＆ UPFC coordination. Also, the PSS2B ＆ UPFC coordination has the best performance.
文摘针对电厂中主汽温控制系统具有大滞后、非线性的特点,提出了一种新的基于 Smith 预估器的单神经元 PSD 自适应控制算法,即由 Smith 预估器和单神经元 PSD 自适应控制器组合的复合控制。并且利用Lyapunov 稳定性理论证明了单神经元自适应控制器的稳定性。实验结果表明,这种控制方式具有较好的自适应性和鲁棒性。
