为提高分布式驱动电动汽车在极限工况下的稳定性,提出一种基于非线性模型预测控制(nonlinear model predictive control,NMPC)算法转矩协调控制策略。该策略基于NMPC的集中式系统整体优化方法,兼顾了整车稳定性控制和转矩优化分配,可以...为提高分布式驱动电动汽车在极限工况下的稳定性,提出一种基于非线性模型预测控制(nonlinear model predictive control,NMPC)算法转矩协调控制策略。该策略基于NMPC的集中式系统整体优化方法,兼顾了整车稳定性控制和转矩优化分配,可以改善车辆行驶稳定性,确保车轮滑移率维持在稳定的范围内,提高车辆驱/制动的稳定性。首先利用MATLAB建立整车7自由度动力学模型,同时基于预测控制的算法框架搭建车辆动力学控制器模型。然后根据操稳性控制需求,同时考虑了轮胎的纵向滑移约束设计系统的目标函数;结合障碍函数方法,基于估计的期望动态滑移率实现对滑移率的边界约束。最后将期望值的跟踪控制和滑移约束控制转化为带约束的优化问题,求解得到各轮最优转矩分配。仿真结果表明:该转矩协调控制系统可以有效地改善车辆的稳定性,同时将轮胎滑移率控制在稳定范围内,提高车辆安全性。展开更多
This paper deals with Wiener model based predictive control of a pH neutralization process.The dynamic linear block of the Wiener model is parameterized using Laguerre filters while the nonlinear block is constructed ...This paper deals with Wiener model based predictive control of a pH neutralization process.The dynamic linear block of the Wiener model is parameterized using Laguerre filters while the nonlinear block is constructed using least squares support vector machines (LSSVM).Input-output data from the first principle model of the pH neutralization process are used for the Wiener model identification.Simulation results show that the proposed Wiener model has higher prediction accuracy than Laguerre-support vector regression (SVR) Wiener models,Laguerre-polynomial Wiener models,and linear Laguerre models.The identified Wiener model is used here for nonlinear model predictive control (NMPC) of the pH neutralization process.The set-point tracking performance of the proposed NMPC is compared with those of the Laguerre-SVR Wiener model based NMPC,Laguerre-polynomial Wiener model based NMPC,and linear model predictive control (LMPC).Validation results show that the proposed NMPC outperforms the other three controllers.展开更多
针对关系度不确定非线性系统,基于模型预测控制理论和切换解析非线性模型预测控制(Nonlinear model predictive control,NMPC)提出了一种非切换的解析NMPC新方法.论证了在非切换解析NMPC控制律下,通过坐标变换可以将闭环系统分别在关系...针对关系度不确定非线性系统,基于模型预测控制理论和切换解析非线性模型预测控制(Nonlinear model predictive control,NMPC)提出了一种非切换的解析NMPC新方法.论证了在非切换解析NMPC控制律下,通过坐标变换可以将闭环系统分别在关系度确定和不确定的两个子空间近似为线性系统,得出非切换解析NMPC使闭环系统稳定的必要条件.通过仿真实验验证了非切换解析NMPC可以达到很好的响应特性,无需切换的特征也扩大了其应用范围.展开更多
In this paper, an attitude maneuver control problem is investigated for a rigid spacecraft using an array of two variable speed control moment gyroscopes （VSCMGs） with gimbal axes skewed to each other. A mathematica...In this paper, an attitude maneuver control problem is investigated for a rigid spacecraft using an array of two variable speed control moment gyroscopes （VSCMGs） with gimbal axes skewed to each other. A mathematical model is constructed by taking the spacecraft and the gyroscopes together as an integrated system, with the coupling interaction between them considered. To overcome the singular issues of the VSCMGs due to the conventional torque-based method, the first-order derivative of gimbal rates and the second-order derivative of the rotor spinning velocity, instead of the gyroscope torques, are taken as input variables. Moreover, taking external disturbances into account, a feedback control law is designed for the system based on a method of nonlinear model predictive control （NMPC）. The attitude maneuver can be realized fast and smoothly by using the proposed controller in this paper.展开更多
文摘为提高分布式驱动电动汽车在极限工况下的稳定性,提出一种基于非线性模型预测控制(nonlinear model predictive control,NMPC)算法转矩协调控制策略。该策略基于NMPC的集中式系统整体优化方法,兼顾了整车稳定性控制和转矩优化分配,可以改善车辆行驶稳定性,确保车轮滑移率维持在稳定的范围内,提高车辆驱/制动的稳定性。首先利用MATLAB建立整车7自由度动力学模型,同时基于预测控制的算法框架搭建车辆动力学控制器模型。然后根据操稳性控制需求,同时考虑了轮胎的纵向滑移约束设计系统的目标函数;结合障碍函数方法,基于估计的期望动态滑移率实现对滑移率的边界约束。最后将期望值的跟踪控制和滑移约束控制转化为带约束的优化问题,求解得到各轮最优转矩分配。仿真结果表明:该转矩协调控制系统可以有效地改善车辆的稳定性,同时将轮胎滑移率控制在稳定范围内,提高车辆安全性。
基金Project (No.60574022) supported by the National Natural Science Foundation of China
文摘This paper deals with Wiener model based predictive control of a pH neutralization process.The dynamic linear block of the Wiener model is parameterized using Laguerre filters while the nonlinear block is constructed using least squares support vector machines (LSSVM).Input-output data from the first principle model of the pH neutralization process are used for the Wiener model identification.Simulation results show that the proposed Wiener model has higher prediction accuracy than Laguerre-support vector regression (SVR) Wiener models,Laguerre-polynomial Wiener models,and linear Laguerre models.The identified Wiener model is used here for nonlinear model predictive control (NMPC) of the pH neutralization process.The set-point tracking performance of the proposed NMPC is compared with those of the Laguerre-SVR Wiener model based NMPC,Laguerre-polynomial Wiener model based NMPC,and linear model predictive control (LMPC).Validation results show that the proposed NMPC outperforms the other three controllers.
文摘针对关系度不确定非线性系统,基于模型预测控制理论和切换解析非线性模型预测控制(Nonlinear model predictive control,NMPC)提出了一种非切换的解析NMPC新方法.论证了在非切换解析NMPC控制律下,通过坐标变换可以将闭环系统分别在关系度确定和不确定的两个子空间近似为线性系统,得出非切换解析NMPC使闭环系统稳定的必要条件.通过仿真实验验证了非切换解析NMPC可以达到很好的响应特性,无需切换的特征也扩大了其应用范围.
基金supported by the National Natural Science Foundation of China(Nos.11372130,11290153,and 11290154)
文摘In this paper, an attitude maneuver control problem is investigated for a rigid spacecraft using an array of two variable speed control moment gyroscopes （VSCMGs） with gimbal axes skewed to each other. A mathematical model is constructed by taking the spacecraft and the gyroscopes together as an integrated system, with the coupling interaction between them considered. To overcome the singular issues of the VSCMGs due to the conventional torque-based method, the first-order derivative of gimbal rates and the second-order derivative of the rotor spinning velocity, instead of the gyroscope torques, are taken as input variables. Moreover, taking external disturbances into account, a feedback control law is designed for the system based on a method of nonlinear model predictive control （NMPC）. The attitude maneuver can be realized fast and smoothly by using the proposed controller in this paper.
