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含新型虚拟电机的直流微网动态稳定性分析与自适应电压惯性控制 被引量:13
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作者 张祥宇 李浩 付媛 《高电压技术》 EI CAS CSCD 北大核心 2021年第8期2865-2873,共9页
为了提升虚拟直流电机的电压惯量与阻尼支持能力,并进一步简化附加控制器结构,显著改善直流微网的动态稳定性,提出了一种新型的虚拟直流电机控制(virtual DC machine control,VDMC)。首先,将双向DC/DC换流器与直流电机进行类比,通过模... 为了提升虚拟直流电机的电压惯量与阻尼支持能力,并进一步简化附加控制器结构,显著改善直流微网的动态稳定性,提出了一种新型的虚拟直流电机控制(virtual DC machine control,VDMC)。首先,将双向DC/DC换流器与直流电机进行类比,通过模拟直流电机的功率调节特性,得到适用于双向DC/DC换流器的VDMC模型。其次,通过对所提出VDMC进行改进,得到了更为简化的控制结构,并且具备更加优越的电压动态性能和惯性支撑能力。在此基础上,对改进后的虚拟电机设计自适应电压惯量调节控制技术,使其能够动态响应电压变化,进一步提高系统的动态稳定性。最后,根据阻抗比判据,理论分析所提VDMC对系统的稳定性支持作用,并通过时域仿真算例,验证所提控制策略的有效性。 展开更多
关键词 直流微网 DC/DC换流器 虚拟直流电机控制 小信号分析 动态稳定性 自适应电压惯量调节控制
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开流耦合映象格子的稳定态 被引量:1
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作者 吕华平 胡岗 《北京师范大学学报(自然科学版)》 CAS CSCD 北大核心 2004年第4期463-468,共6页
采用自适应调节控制 ,选择适当的控制参数 ,开流耦合映象格子 (OCML)混沌系统很快就能被控制到均匀的稳定态上去 .用本征值稳定性分析方法可以确定控制参数的范围 .但研究表明由此确定的控制参数范围内的参数并不都能使得系统被控制到... 采用自适应调节控制 ,选择适当的控制参数 ,开流耦合映象格子 (OCML)混沌系统很快就能被控制到均匀的稳定态上去 .用本征值稳定性分析方法可以确定控制参数的范围 .但研究表明由此确定的控制参数范围内的参数并不都能使得系统被控制到稳定态 。 展开更多
关键词 耦合映象格子 稳定态 自适应调节控制 混沌控制 本征值
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Neural adaptive PSD decoupling controller and its application in three-phase electrode adjusting system of submerged arc furnace 被引量:4
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作者 贺建军 刘郁乔 +1 位作者 喻寿益 桂卫华 《Journal of Central South University》 SCIE EI CAS 2013年第2期405-412,共8页
Taking three-phase electrode adjusting system of submerged arc furnace as study object which has nonlinear, time-variant, multivariable and strong coupling features, a neural adaptive PSD(proportion, sum and different... Taking three-phase electrode adjusting system of submerged arc furnace as study object which has nonlinear, time-variant, multivariable and strong coupling features, a neural adaptive PSD(proportion, sum and differential) dispersive decoupling controller was developed by combining neural adaptive PSD algorithm with dispersive decoupling network. In this work, the production technology process and control difficulties of submerged arc furnace were simply introduced, the necessity of establishing a neural adaptive PSD dispersive decoupling controller was discussed, the design method and the implementation steps of the controller are expounded in detail, and the block diagram of the controlled system is presented. By comparison with experimental results of the conventional PID controller and the adaptive PSD controller, the decoupling ability, adaptive ability, self-learning ability and robustness of the neural adaptive PSD dispersive decoupling controller have been testified effectively. The controller is applicable to the three-phase electrode adjusting system of submerged arc furnace, and it will play an important role for achieving the power balance of three-phrase electrodes, saving energy and reducing consumption in the process of smelting. 展开更多
关键词 PSD algorithm decoupling controller submerged arc furnace three phase electrode
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A novel robust adaptive controller for EAF electrode regulator system based on approximate model method
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作者 李磊 毛志忠 《Journal of Central South University》 SCIE EI CAS 2012年第8期2158-2166,共9页
The electrode regulator system is a complex system with many variables, strong coupling and strong nonlinearity, while conventional control methods such as proportional integral derivative (PID) can not meet the req... The electrode regulator system is a complex system with many variables, strong coupling and strong nonlinearity, while conventional control methods such as proportional integral derivative (PID) can not meet the requirements. A robust adaptive neural network controller (RANNC) for electrode regulator system was proposed. Artificial neural networks were established to learn the system dynamics. The nonlinear control law was derived directly based on an input-output approximating method via the Taylor expansion, which avoids complex control development and intensive computation. The stability of the closed-loop system was established by the Lyapunov method. The current fluctuation relative percentage is less than ±8% and heating rate is up to 6.32 ℃/min when the proposed controller is used. The experiment results show that the proposed control scheme is better than inverse neural network controller (INNC) and PID controller (PIDC). 展开更多
关键词 approximate model electric arc furnaces nonlinear control normalized radial basis function neural network (NRBFNN)
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