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
Because brushless direct current(BLDC) motors have the advantages of a compact size, high power density, high efficiency, and long operating life time, they are widely used in many industrial products and electric tra...Because brushless direct current(BLDC) motors have the advantages of a compact size, high power density, high efficiency, and long operating life time, they are widely used in many industrial products and electric traction systems. It is known that the BLDC motors have no brushes for commutation. They are commutated with electronically commutation. So, the rotor position information of the BLDC motors must be known to understand which winding will be energized according to the energizing sequence. In most of the existing BLDC motor drivers, rotor position information is detected by Hall effect sensors. This kind of mechanical position sensors will bring additional connections and costs, reliability decrease and noise increase. In order to improve the control performance and extend the range of speed regulation for BLDC motors, a position sensorless control method is proposed in this paper. In the proposed control method, rotor position information of the BLDC motors is detected from the back electromagnetic forces(back-EMFs) which are estimated by an unknown-input observer with line to line currents and line to line voltages. For the purpose of verifying the effectiveness of the proposed control method, a model is built and simulated on the Matlab/Simulink platform. The simulation results show that the speed regulation performance of BLDC motors is improved compared with using Hall effect sensors. At the same time, the reliability of the BLDC motors is improved and the costs of them are reduced because the position sensor is eliminated.展开更多
新型电力系统的惯性低,虚拟直流电机控制可以加强系统惯性和阻尼。多储能变换器应该考虑荷电状态(State of charge,SOC)均衡问题,提高系统稳定性。针对虚拟直流电机控制的多储能SOC均衡问题,利用直流电机机端电压和电枢电流的下垂特性,...新型电力系统的惯性低,虚拟直流电机控制可以加强系统惯性和阻尼。多储能变换器应该考虑荷电状态(State of charge,SOC)均衡问题,提高系统稳定性。针对虚拟直流电机控制的多储能SOC均衡问题,利用直流电机机端电压和电枢电流的下垂特性,提出引入SOC离差及变均衡系数的变电枢电阻控制;针对下垂引起的电压偏移问题,采用虚拟直流电机转速补偿,用母线电容瞬时功率替代传统虚拟直流电机控制中电压PI控制,给定系统功率需求,减少比例积分环节个数。以两台蓄电池为例,在Simulink中进行仿真,并与参考文献的变电枢电阻函数对比可知,所提控制策略可抑制直流母线电压跌落,调节SOC均衡过程,提高其均衡速度和精度。展开更多
针对鲸鱼优化算法易陷入局部最优以及无刷直流电机(brushless DC motor,BLDCM)速度控制响应慢、超调量大等缺点,提出一种改进鲸鱼优化算法(improve whale optimization algorithm,IWOA)优化PID(proportional integral derivative)参数...针对鲸鱼优化算法易陷入局部最优以及无刷直流电机(brushless DC motor,BLDCM)速度控制响应慢、超调量大等缺点,提出一种改进鲸鱼优化算法(improve whale optimization algorithm,IWOA)优化PID(proportional integral derivative)参数的无刷直流电机速度控制算法.该算法采用高斯变异因子、自适应权重因子和动态阈值相结合对鲸鱼优化算法进行优化.仿真实验结果表明,改进鲸鱼优化PID的无刷直流电机转速控制算法具有更快的收敛速度以及较小的超调现象,鲁棒性也更好.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Because brushless direct current(BLDC) motors have the advantages of a compact size, high power density, high efficiency, and long operating life time, they are widely used in many industrial products and electric traction systems. It is known that the BLDC motors have no brushes for commutation. They are commutated with electronically commutation. So, the rotor position information of the BLDC motors must be known to understand which winding will be energized according to the energizing sequence. In most of the existing BLDC motor drivers, rotor position information is detected by Hall effect sensors. This kind of mechanical position sensors will bring additional connections and costs, reliability decrease and noise increase. In order to improve the control performance and extend the range of speed regulation for BLDC motors, a position sensorless control method is proposed in this paper. In the proposed control method, rotor position information of the BLDC motors is detected from the back electromagnetic forces(back-EMFs) which are estimated by an unknown-input observer with line to line currents and line to line voltages. For the purpose of verifying the effectiveness of the proposed control method, a model is built and simulated on the Matlab/Simulink platform. The simulation results show that the speed regulation performance of BLDC motors is improved compared with using Hall effect sensors. At the same time, the reliability of the BLDC motors is improved and the costs of them are reduced because the position sensor is eliminated.
文摘新型电力系统的惯性低,虚拟直流电机控制可以加强系统惯性和阻尼。多储能变换器应该考虑荷电状态(State of charge,SOC)均衡问题,提高系统稳定性。针对虚拟直流电机控制的多储能SOC均衡问题,利用直流电机机端电压和电枢电流的下垂特性,提出引入SOC离差及变均衡系数的变电枢电阻控制;针对下垂引起的电压偏移问题,采用虚拟直流电机转速补偿,用母线电容瞬时功率替代传统虚拟直流电机控制中电压PI控制,给定系统功率需求,减少比例积分环节个数。以两台蓄电池为例,在Simulink中进行仿真,并与参考文献的变电枢电阻函数对比可知,所提控制策略可抑制直流母线电压跌落,调节SOC均衡过程,提高其均衡速度和精度。
文摘针对鲸鱼优化算法易陷入局部最优以及无刷直流电机(brushless DC motor,BLDCM)速度控制响应慢、超调量大等缺点,提出一种改进鲸鱼优化算法(improve whale optimization algorithm,IWOA)优化PID(proportional integral derivative)参数的无刷直流电机速度控制算法.该算法采用高斯变异因子、自适应权重因子和动态阈值相结合对鲸鱼优化算法进行优化.仿真实验结果表明,改进鲸鱼优化PID的无刷直流电机转速控制算法具有更快的收敛速度以及较小的超调现象,鲁棒性也更好.
