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
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
柔性交流输电装置(flexible AC transmission system,FACTS)在提升电网安全稳定和运行效率方面发挥着重要的作用。随着柔性交流输电装置在电力系统中的广泛应用,研究系统中多FACTS的协调控制机理对于实现系统的协调阻尼控制具有重要的...柔性交流输电装置(flexible AC transmission system,FACTS)在提升电网安全稳定和运行效率方面发挥着重要的作用。随着柔性交流输电装置在电力系统中的广泛应用,研究系统中多FACTS的协调控制机理对于实现系统的协调阻尼控制具有重要的理论价值和现实意义。针对实现多FACTS协调控制过程中遇到的交互影响问题,提出基于选择模式分析(selective modal analysis,SMA)和多变量频域控制理论的多FACTS交互作用机理分析方法,通过SMA实现多FACTS交互作用的有效特征量提取,进而通过多变量频域控制理论推导出多FACTS间的交互作用关系和发生条件,并在此基础上揭示多FACTS间交互作用机理。研究结果表明:处于多机系统同一电力区域中的多台FACTS阻尼控制器间存在相互制约的关系,当控制器参数满足负交互条件时会发生比较明显的负交互作用,严重时甚至威胁系统的安全运行,当控制器参数满足协调运行条件时才能保证多FACTS间的协调运行与控制。通过仿真验证了文中机理研究的正确性以及在实际电网中应用的可行性。展开更多
针对由彼此落点接近的一条基于模块化多电平换流器型高压直流输电(modular multilevel converter based HVDC,MMC-HVDC)线路和一条电网换相换流器型高压直流输电(line commutated converter based high voltage direct current,LCC-HVDC...针对由彼此落点接近的一条基于模块化多电平换流器型高压直流输电(modular multilevel converter based HVDC,MMC-HVDC)线路和一条电网换相换流器型高压直流输电(line commutated converter based high voltage direct current,LCC-HVDC)线路所构成的混合双馈入直流输电系统,基于多变量反馈控制理论建立可定量分析和评估MMC-HVDC与LCC-HVDC控制系统之间交互影响的等效独立控制通道。在此基础之上,定量分析评估LCC定关断角控制器、锁相环以及MMC锁相环、外环控制器、环流抑制器对MMC-HVDC与LCC-HVDC控制系统交互作用及小干扰稳定性的影响。最后,在PSCAD/EMTDC上搭建混合双馈入直流输电系统的电磁暂态详细仿真模型,仿真验证理论分析结果的有效性。展开更多
针对重油催化裂化分馏塔控制系统满足稳定设计却难以优化系统性能的问题,提出了一种基于多变量ARX-Laguerre函数模型的PID预测控制(multivariable ARX-Laguerre function model predictive control combined with proportion integratio...针对重油催化裂化分馏塔控制系统满足稳定设计却难以优化系统性能的问题,提出了一种基于多变量ARX-Laguerre函数模型的PID预测控制(multivariable ARX-Laguerre function model predictive control combined with proportion integration differentiation,MALMPCPID)算法。以增量式的多变量ARX-Laguerre函数为预测模型,通过带有遗忘因子的最小二乘递归方法在线辨识Laguerre系数矩阵,并将滚动优化的性能指标改写成PID参数形式,以提高系统的动态性能。将所提的MALMPCPID算法应用于Shell公司重油催化裂化分馏塔进行仿真实验并与现有算法进行对比。结果表明,所提算法对多变量强耦合过程具有良好的控制效果,而且快速性和解耦能力得到了大大提高。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.
文摘针对由彼此落点接近的一条基于模块化多电平换流器型高压直流输电(modular multilevel converter based HVDC,MMC-HVDC)线路和一条电网换相换流器型高压直流输电(line commutated converter based high voltage direct current,LCC-HVDC)线路所构成的混合双馈入直流输电系统,基于多变量反馈控制理论建立可定量分析和评估MMC-HVDC与LCC-HVDC控制系统之间交互影响的等效独立控制通道。在此基础之上,定量分析评估LCC定关断角控制器、锁相环以及MMC锁相环、外环控制器、环流抑制器对MMC-HVDC与LCC-HVDC控制系统交互作用及小干扰稳定性的影响。最后,在PSCAD/EMTDC上搭建混合双馈入直流输电系统的电磁暂态详细仿真模型,仿真验证理论分析结果的有效性。
文摘针对重油催化裂化分馏塔控制系统满足稳定设计却难以优化系统性能的问题,提出了一种基于多变量ARX-Laguerre函数模型的PID预测控制(multivariable ARX-Laguerre function model predictive control combined with proportion integration differentiation,MALMPCPID)算法。以增量式的多变量ARX-Laguerre函数为预测模型,通过带有遗忘因子的最小二乘递归方法在线辨识Laguerre系数矩阵,并将滚动优化的性能指标改写成PID参数形式,以提高系统的动态性能。将所提的MALMPCPID算法应用于Shell公司重油催化裂化分馏塔进行仿真实验并与现有算法进行对比。结果表明,所提算法对多变量强耦合过程具有良好的控制效果,而且快速性和解耦能力得到了大大提高。
