A novel method of incorporating generalized predictive control (GPC) algorithms based on quantitative feedback theory (QFT) principles is proposed for solving the feedback control problem of the highly uncertain and c...A novel method of incorporating generalized predictive control (GPC) algorithms based on quantitative feedback theory (QFT) principles is proposed for solving the feedback control problem of the highly uncertain and cross-coupling plants. The quantitative feedback theory decouples the multi-input and multi-output (MIMO) plant and is also used to reduce the uncertainties of the system, stabilize the system, and achieve tracking performance of the system to a certain extent. Single-input and single-output (SISO) generalized predictive control is used to achieve performance with higher performance. In GPC, the model is identified on-line, which is based on the QFT input and the plant output signals. The simulation results show that the performance of the system is superior to the performance when only QFT is used for highly uncertain MIMO plants.展开更多
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
A novel method of incorporating generalized predictive control GPC algorithms based on quantitative feedback theory QFT principles is proposed for solving the feedback control problem of the highly uncertain and cross...A novel method of incorporating generalized predictive control GPC algorithms based on quantitative feedback theory QFT principles is proposed for solving the feedback control problem of the highly uncertain and cross-coupling plants. The quantitative feedback theory decouples the multi-input and multi-output MIMO plant and is also used to reduce the uncertainties of the system, stabilize the system, and achieve tracking performance of the system to a certain extent. Single-input and single-output SISO generalized predictive control is used to achieve performance with higher performance. In GPC, the model is identified on-line, which is based on the QFT input and the plant output signals. The simulation results show that the performance of the system is superior to the performance when only QFT is used for highly uncertain MIMO plants.展开更多
三相电流源型PWM整流器(Current Source Rectifier,CSR)因其可实现网侧单位因数和正弦波电流控制,具备电能双向传输能力,广泛应用于应急电源系统(Emergency Power Supply,EPS)的电能转换系统。针对CSR的LC滤波电路容易产生谐振,以及带...三相电流源型PWM整流器(Current Source Rectifier,CSR)因其可实现网侧单位因数和正弦波电流控制,具备电能双向传输能力,广泛应用于应急电源系统(Emergency Power Supply,EPS)的电能转换系统。针对CSR的LC滤波电路容易产生谐振,以及带容性负载输出时,数学模型阶数增加导致控制器参数设计复杂等问题,提出了一种组合型有源阻尼解耦控制策略。首先,在d-q坐标下建立带容性负载的CSR数学模型;其次,CSR交流侧采用电容电压反馈(Capacitance Voltage Feedback,CVF)和电感电流反馈(Inductance Current Feedback,ICF)的组合型有源阻尼控制,以抑制交流侧LC滤波器谐振尖峰并提高系统阻尼比,直流侧采用状态反馈控制以稳定直流母线电压;然后,调节d轴开关分量实现系统网侧电压电流同相位运行;最后,通过MATALB/Simulink仿真及实验,验证了该控制策略的可行性。展开更多
基金Supported by the National Natural Science Foundation of China (No.60374037, No.60574036), the Program for New Century Excellent Talents in Education Ministry (NCET), and the Specialized Research Fund for the Doctoral Program of Higher Education of China (No.20050055013).
文摘A novel method of incorporating generalized predictive control (GPC) algorithms based on quantitative feedback theory (QFT) principles is proposed for solving the feedback control problem of the highly uncertain and cross-coupling plants. The quantitative feedback theory decouples the multi-input and multi-output (MIMO) plant and is also used to reduce the uncertainties of the system, stabilize the system, and achieve tracking performance of the system to a certain extent. Single-input and single-output (SISO) generalized predictive control is used to achieve performance with higher performance. In GPC, the model is identified on-line, which is based on the QFT input and the plant output signals. The simulation results show that the performance of the system is superior to the performance when only QFT is used for highly uncertain MIMO plants.
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the National Natural Science Foundation of China (No.60374037, No.60574036)the Program for New CenturyExcellent Talents in Education Ministry (NCET)the Specialized Research Fund for the Doctoral Program of Higher Edu-cation of China (No.20050055013)
文摘A novel method of incorporating generalized predictive control GPC algorithms based on quantitative feedback theory QFT principles is proposed for solving the feedback control problem of the highly uncertain and cross-coupling plants. The quantitative feedback theory decouples the multi-input and multi-output MIMO plant and is also used to reduce the uncertainties of the system, stabilize the system, and achieve tracking performance of the system to a certain extent. Single-input and single-output SISO generalized predictive control is used to achieve performance with higher performance. In GPC, the model is identified on-line, which is based on the QFT input and the plant output signals. The simulation results show that the performance of the system is superior to the performance when only QFT is used for highly uncertain MIMO plants.
文摘三相电流源型PWM整流器(Current Source Rectifier,CSR)因其可实现网侧单位因数和正弦波电流控制,具备电能双向传输能力,广泛应用于应急电源系统(Emergency Power Supply,EPS)的电能转换系统。针对CSR的LC滤波电路容易产生谐振,以及带容性负载输出时,数学模型阶数增加导致控制器参数设计复杂等问题,提出了一种组合型有源阻尼解耦控制策略。首先,在d-q坐标下建立带容性负载的CSR数学模型;其次,CSR交流侧采用电容电压反馈(Capacitance Voltage Feedback,CVF)和电感电流反馈(Inductance Current Feedback,ICF)的组合型有源阻尼控制,以抑制交流侧LC滤波器谐振尖峰并提高系统阻尼比,直流侧采用状态反馈控制以稳定直流母线电压;然后,调节d轴开关分量实现系统网侧电压电流同相位运行;最后,通过MATALB/Simulink仿真及实验,验证了该控制策略的可行性。
