Aiming at the coupling characteristic between the two groups of electromagnets embedded in the module of the maglev train, a nonlinear decoupling controller is designed. The module is modeled as a double-electromagnet...Aiming at the coupling characteristic between the two groups of electromagnets embedded in the module of the maglev train, a nonlinear decoupling controller is designed. The module is modeled as a double-electromagnet system, and based on some reasonable assumptions its nonlinear mathematical model, a MIMO coupling system, is derived. To realize the linearization and decoupling from the input to the output, the model is linearized exactly by means of feedback linearization, and an equivalent linear decoupling model is obtained. Based on the linear model, a nonlinear suspension controller is designed using state feedback. Simulations and experiments show that the controller can effectually solve the coupling problem in double-electromagnet suspension system.展开更多
In this paper,a linear/nonlinear switching active disturbance rejection control(SADRC)based decoupling control approach is proposed to deal with some difficult control problems in a class of multi-input multi-output(M...In this paper,a linear/nonlinear switching active disturbance rejection control(SADRC)based decoupling control approach is proposed to deal with some difficult control problems in a class of multi-input multi-output(MIMO)systems such as multi-variables,disturbances,and coupling,etc.Firstly,the structure and parameter tuning method of SADRC is introduced into this paper.Followed on this,virtual control variables are adopted into the MIMO systems,making the systems decoupled.Then the SADRC controller is designed for every subsystem.After this,a stability analyzed method via the Lyapunov function is proposed for the whole system.Finally,some simulations are presented to demonstrate the anti-disturbance and robustness of SADRC,and results show SADRC has a potential applications in engineering practice.展开更多
A grid-connected inverter controlling method to analyze dynamic process of large-scale and grid-connected photovoltaic power station is proposed. The reference values of control variables are composed of maximum power...A grid-connected inverter controlling method to analyze dynamic process of large-scale and grid-connected photovoltaic power station is proposed. The reference values of control variables are composed of maximum power which is the output of the photovoltaic array of the photovoltaic power plant, and power factor specified by dispatching, the control strategy of dynamic feedback linearization is adopted. Nonlinear decoupling controller is designed for realizing decoupling control of active and reactive power. The cascade PI regulation is proposed to avoid inaccurate parameter estimation which generates the system static error. Simulation is carried out based on the simplified power system with large-scale photovoltaic plant modelling, and the power factor, solar radiation strength, and bus fault are considered for the further research. It’s demonstrated that the parameter adjustment of PI controller is simple and convenient, dynamic response of system is transient, and the stability of the inverter control is verified.展开更多
Greenhouse system (GHS) is the worldwide fastest growing phenomenon in agricultural sector. Greenhouse models are essential for improving control efficiencies. The Relative Gain Analysis (RGA) reveals that the GHS con...Greenhouse system (GHS) is the worldwide fastest growing phenomenon in agricultural sector. Greenhouse models are essential for improving control efficiencies. The Relative Gain Analysis (RGA) reveals that the GHS control is complex due to 1) high nonlinear interactions between the biological subsystem and the physical subsystem and 2) strong coupling between the process variables such as temperature and humidity. In this paper, a decoupled linear cooling model has been developed using a feedback-feed forward linearization technique. Further, based on the model developed Internal Model Control (IMC) based Proportional Integrator (PI) controller parameters are optimized using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to achieve minimum Integral Square Error (ISE). The closed loop control is carried out using the above control schemes for set-point change and disturbance rejection. Finally, closed loop servo and servo-regulatory responses of GHS are compared quantitatively as well as qualitatively. The results implicate that IMC based PI controller using PSO provides better performance than the IMC based PI controller using GA. Also, it is observed that the disturbance introduced in one loop will not affect the other loop due to feedback-feed forward linearization and decoupling. Such a control scheme used for GHS would result in better yield in production of crops such as tomato, lettuce and broccoli.展开更多
提出一种dq坐标系下静止无功发生器的自抗扰解耦控制方法。首先针对静止无功发生器(static var generator,SVG)非线性、强耦合的特点,建立并设计基于自抗扰技术的多变量解耦控制系统。其次,为克服一般控制算法难以解决的高频振荡和滤波...提出一种dq坐标系下静止无功发生器的自抗扰解耦控制方法。首先针对静止无功发生器(static var generator,SVG)非线性、强耦合的特点,建立并设计基于自抗扰技术的多变量解耦控制系统。其次,为克服一般控制算法难以解决的高频振荡和滤波效果差的问题,设计最速控制综合函数作为跟踪微分器。另外设计自抗扰线性和非线性两种控制器,并与PI控制算法进行比较,通过Matlab仿真和样机实验,验证了所设计的基于非线性自抗扰技术的多变量解耦控制算法可实现SVG输出电流在dq轴下的解耦,使系统具有较快的动态响应和较强的鲁棒性及抗干扰性,尤其具有单参数调节和无超调的优良性能。展开更多
针对高速电主轴动态模型中耦合电压的非线性变化对主轴动态性能所产生的影响,通过对比前馈控制和内模控制(Internal model control,IMC)的电压解耦机理,指出IMC能够避免前馈控制时电压解耦效果依赖主轴模型参数与实际参数相匹配的不足,...针对高速电主轴动态模型中耦合电压的非线性变化对主轴动态性能所产生的影响,通过对比前馈控制和内模控制(Internal model control,IMC)的电压解耦机理,指出IMC能够避免前馈控制时电压解耦效果依赖主轴模型参数与实际参数相匹配的不足,并利用170MD15Y20油雾润滑型电主轴和Matlab/Simulink软件分别对两种控制方法进行试验和仿真分析。结果表明,主轴的耦合电压主要受频率和转矩电流变化的影响,改变磁链子系统和转矩子系统的给定电压、以及耦合回路中无功功率在输入功率中的比例,不仅可以对主轴的功率因素、输出转矩、抗扰动能力和动态速度跟随精度等特性参数产生影响,而且使主轴的转矩脉动程度、带负载能力和转差率等随耦合电压的大小成反比例变化。因此可以根据包含上述特征信息的机械特性曲线、功率因素曲线和恒转矩曲线的变化趋势,准确判断高速电主轴的解耦效果,并预测主轴在该控制方式下的动态性能。展开更多
基金Supported by National Natural Science Foundation of P. R. China (60404003)the Natural Science Foundation of Hunan Province (03JJY3108)Fok Ying-Tong Education Foundation (94028)
文摘Aiming at the coupling characteristic between the two groups of electromagnets embedded in the module of the maglev train, a nonlinear decoupling controller is designed. The module is modeled as a double-electromagnet system, and based on some reasonable assumptions its nonlinear mathematical model, a MIMO coupling system, is derived. To realize the linearization and decoupling from the input to the output, the model is linearized exactly by means of feedback linearization, and an equivalent linear decoupling model is obtained. Based on the linear model, a nonlinear suspension controller is designed using state feedback. Simulations and experiments show that the controller can effectually solve the coupling problem in double-electromagnet suspension system.
基金supported by the Scientific Research Innovation Development Foundation of Army Engineering University((2019)71).
文摘In this paper,a linear/nonlinear switching active disturbance rejection control(SADRC)based decoupling control approach is proposed to deal with some difficult control problems in a class of multi-input multi-output(MIMO)systems such as multi-variables,disturbances,and coupling,etc.Firstly,the structure and parameter tuning method of SADRC is introduced into this paper.Followed on this,virtual control variables are adopted into the MIMO systems,making the systems decoupled.Then the SADRC controller is designed for every subsystem.After this,a stability analyzed method via the Lyapunov function is proposed for the whole system.Finally,some simulations are presented to demonstrate the anti-disturbance and robustness of SADRC,and results show SADRC has a potential applications in engineering practice.
文摘A grid-connected inverter controlling method to analyze dynamic process of large-scale and grid-connected photovoltaic power station is proposed. The reference values of control variables are composed of maximum power which is the output of the photovoltaic array of the photovoltaic power plant, and power factor specified by dispatching, the control strategy of dynamic feedback linearization is adopted. Nonlinear decoupling controller is designed for realizing decoupling control of active and reactive power. The cascade PI regulation is proposed to avoid inaccurate parameter estimation which generates the system static error. Simulation is carried out based on the simplified power system with large-scale photovoltaic plant modelling, and the power factor, solar radiation strength, and bus fault are considered for the further research. It’s demonstrated that the parameter adjustment of PI controller is simple and convenient, dynamic response of system is transient, and the stability of the inverter control is verified.
文摘Greenhouse system (GHS) is the worldwide fastest growing phenomenon in agricultural sector. Greenhouse models are essential for improving control efficiencies. The Relative Gain Analysis (RGA) reveals that the GHS control is complex due to 1) high nonlinear interactions between the biological subsystem and the physical subsystem and 2) strong coupling between the process variables such as temperature and humidity. In this paper, a decoupled linear cooling model has been developed using a feedback-feed forward linearization technique. Further, based on the model developed Internal Model Control (IMC) based Proportional Integrator (PI) controller parameters are optimized using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to achieve minimum Integral Square Error (ISE). The closed loop control is carried out using the above control schemes for set-point change and disturbance rejection. Finally, closed loop servo and servo-regulatory responses of GHS are compared quantitatively as well as qualitatively. The results implicate that IMC based PI controller using PSO provides better performance than the IMC based PI controller using GA. Also, it is observed that the disturbance introduced in one loop will not affect the other loop due to feedback-feed forward linearization and decoupling. Such a control scheme used for GHS would result in better yield in production of crops such as tomato, lettuce and broccoli.
文摘提出一种dq坐标系下静止无功发生器的自抗扰解耦控制方法。首先针对静止无功发生器(static var generator,SVG)非线性、强耦合的特点,建立并设计基于自抗扰技术的多变量解耦控制系统。其次,为克服一般控制算法难以解决的高频振荡和滤波效果差的问题,设计最速控制综合函数作为跟踪微分器。另外设计自抗扰线性和非线性两种控制器,并与PI控制算法进行比较,通过Matlab仿真和样机实验,验证了所设计的基于非线性自抗扰技术的多变量解耦控制算法可实现SVG输出电流在dq轴下的解耦,使系统具有较快的动态响应和较强的鲁棒性及抗干扰性,尤其具有单参数调节和无超调的优良性能。
文摘针对高速电主轴动态模型中耦合电压的非线性变化对主轴动态性能所产生的影响,通过对比前馈控制和内模控制(Internal model control,IMC)的电压解耦机理,指出IMC能够避免前馈控制时电压解耦效果依赖主轴模型参数与实际参数相匹配的不足,并利用170MD15Y20油雾润滑型电主轴和Matlab/Simulink软件分别对两种控制方法进行试验和仿真分析。结果表明,主轴的耦合电压主要受频率和转矩电流变化的影响,改变磁链子系统和转矩子系统的给定电压、以及耦合回路中无功功率在输入功率中的比例,不仅可以对主轴的功率因素、输出转矩、抗扰动能力和动态速度跟随精度等特性参数产生影响,而且使主轴的转矩脉动程度、带负载能力和转差率等随耦合电压的大小成反比例变化。因此可以根据包含上述特征信息的机械特性曲线、功率因素曲线和恒转矩曲线的变化趋势,准确判断高速电主轴的解耦效果,并预测主轴在该控制方式下的动态性能。
