A new kind of dynamic neural network--diagonal recurrent neural network (DRNN) and its learning method and architecture are presented. A direct adaptive control scheme is also developed that is applied to a DC (Direct...A new kind of dynamic neural network--diagonal recurrent neural network (DRNN) and its learning method and architecture are presented. A direct adaptive control scheme is also developed that is applied to a DC (Direct Current) speed control system with the ability to auto-tune PI (Proportion Integral) parameters based on combining DRNN with PI controller. The simulation results of DRNN show better control performances and potential practical use in comparison with PI controller.展开更多
This paper proposes the current search (CS) metaheuristics conceptualized from the electric current flowing through electric networks for optimization problems with continuous design variables. The CS algorithm posses...This paper proposes the current search (CS) metaheuristics conceptualized from the electric current flowing through electric networks for optimization problems with continuous design variables. The CS algorithm possesses two powerful strategies, exploration and exploitation, for searching the global optimum. Based on the stochastic process, the derivatives of the objective function is unnecessary for the proposed CS. To evaluate its performance, the CS is tested against several unconstrained optimization problems. The results obtained are compared to those obtained by the popular search techniques, i.e., the genetic algorithm (GA), the particle swarm optimization (PSO), and the adaptive tabu search (ATS). As results, the CS outperforms other algorithms and provides superior results. The CS is also applied to a constrained design of the optimum PID controller for the dc motor speed control system. From experimental results, the CS has been successfully applied to the speed control of the dc motor.展开更多
针对基于电压源换流器的高压直流输电(voltage source converter based high voltage direct current,VSC-HVDC),提出了基于永磁同步风力发电机、不控整流和Boost电路的变速直流风力发电系统结构。首先给出先并后串的新型风电场结构;然...针对基于电压源换流器的高压直流输电(voltage source converter based high voltage direct current,VSC-HVDC),提出了基于永磁同步风力发电机、不控整流和Boost电路的变速直流风力发电系统结构。首先给出先并后串的新型风电场结构;然后建立最小串联系统的简化模型,用一种基于直流电压电流乘积控制的最大风能跟踪控制算法解析出输出电压和输出功率的关系。仿真结果表明:最小串联系统中的2个机组可以互不影响地独立运行,输出电压按照输出功率的变化而变化,同时2个机组均具有较好的最大风能跟踪精度和速度。展开更多
文摘A new kind of dynamic neural network--diagonal recurrent neural network (DRNN) and its learning method and architecture are presented. A direct adaptive control scheme is also developed that is applied to a DC (Direct Current) speed control system with the ability to auto-tune PI (Proportion Integral) parameters based on combining DRNN with PI controller. The simulation results of DRNN show better control performances and potential practical use in comparison with PI controller.
文摘This paper proposes the current search (CS) metaheuristics conceptualized from the electric current flowing through electric networks for optimization problems with continuous design variables. The CS algorithm possesses two powerful strategies, exploration and exploitation, for searching the global optimum. Based on the stochastic process, the derivatives of the objective function is unnecessary for the proposed CS. To evaluate its performance, the CS is tested against several unconstrained optimization problems. The results obtained are compared to those obtained by the popular search techniques, i.e., the genetic algorithm (GA), the particle swarm optimization (PSO), and the adaptive tabu search (ATS). As results, the CS outperforms other algorithms and provides superior results. The CS is also applied to a constrained design of the optimum PID controller for the dc motor speed control system. From experimental results, the CS has been successfully applied to the speed control of the dc motor.
文摘针对基于电压源换流器的高压直流输电(voltage source converter based high voltage direct current,VSC-HVDC),提出了基于永磁同步风力发电机、不控整流和Boost电路的变速直流风力发电系统结构。首先给出先并后串的新型风电场结构;然后建立最小串联系统的简化模型,用一种基于直流电压电流乘积控制的最大风能跟踪控制算法解析出输出电压和输出功率的关系。仿真结果表明:最小串联系统中的2个机组可以互不影响地独立运行,输出电压按照输出功率的变化而变化,同时2个机组均具有较好的最大风能跟踪精度和速度。
