本文针对集成电机传动(Integrated Motor Transmission,IMT)驱动系统的未知输入等效阻力扭矩与驱动轴扭矩的强耦合性下的同步估计问题进行研究,并设计了切换未知输入自适应观测器.首先,考虑IMT驱动系统的动力学的非线性与换挡特性,重构...本文针对集成电机传动(Integrated Motor Transmission,IMT)驱动系统的未知输入等效阻力扭矩与驱动轴扭矩的强耦合性下的同步估计问题进行研究,并设计了切换未知输入自适应观测器.首先,考虑IMT驱动系统的动力学的非线性与换挡特性,重构并建立非线性切换模型.然后,设计切换未知输入自适应观测器.其次,针对重构系统中的不匹配非线性项,将微分中值定理(Differential Mean Value Theorem,DMVT)与物理有界约束条件相结合,以解决动态误差与实际工程的差异.接着,利用Lyapunov稳定性理论得到满足稳定的线性矩阵不等式(Linear Matrix Inequality,LMI)充分条件.最后,通过仿真结果验证了所设计观测器的有效性.展开更多
In this paper, observer design for an induction motor has been investigated. The peculiarity of this paper is the synthesis of a mono-Luenberger observer for highly coupled system. To transform the nonlinear error dyn...In this paper, observer design for an induction motor has been investigated. The peculiarity of this paper is the synthesis of a mono-Luenberger observer for highly coupled system. To transform the nonlinear error dynamics for the induction motor into the linear parametric varying （LPV） system, the differential mean value theorem combined with the sector nonlinearity transformation has been used. Stability conditions based on the Lyapunov function lead to solvability of a set of linear matrix inequalities. The proposed observer guarantees the global exponential convergence to zero of the estimation error. Finally, the simulation results are given to show the performance of the observer design.展开更多
The problem of state feedback controllers for a class of Takagi-Sugeno （T-S） Lipschitz nonlinear systems is investigated. A simple systematic and useful synthesis method is proposed based on the use of the different...The problem of state feedback controllers for a class of Takagi-Sugeno （T-S） Lipschitz nonlinear systems is investigated. A simple systematic and useful synthesis method is proposed based on the use of the differential mean value theorem （DMVT） and convex theory. The proposed design approach is based on the mean value theorem （MVT） to express the nonlinear error dynamics as a convex combination of known matrices with time varying coefficients as linear parameter varying （LPV） systems. Using the Lyapunov theory, stability conditions are obtained and expressed in terms of linear matrix inequalities （LMIs）. The controller gains are then obtained by solving linear matrix inequalities. The effectiveness of the proposed approach for closed loop-field oriented control （CL-FOC） of permanent magnet synchronous machine （PMSM） drives is demonstrated through an illustrative simulation for the proof of these approaches. Furthermore, an extension for controller design with parameter uncertainties and perturbation performance is discussed.展开更多
文摘本文针对集成电机传动(Integrated Motor Transmission,IMT)驱动系统的未知输入等效阻力扭矩与驱动轴扭矩的强耦合性下的同步估计问题进行研究,并设计了切换未知输入自适应观测器.首先,考虑IMT驱动系统的动力学的非线性与换挡特性,重构并建立非线性切换模型.然后,设计切换未知输入自适应观测器.其次,针对重构系统中的不匹配非线性项,将微分中值定理(Differential Mean Value Theorem,DMVT)与物理有界约束条件相结合,以解决动态误差与实际工程的差异.接着,利用Lyapunov稳定性理论得到满足稳定的线性矩阵不等式(Linear Matrix Inequality,LMI)充分条件.最后,通过仿真结果验证了所设计观测器的有效性.
文摘In this paper, observer design for an induction motor has been investigated. The peculiarity of this paper is the synthesis of a mono-Luenberger observer for highly coupled system. To transform the nonlinear error dynamics for the induction motor into the linear parametric varying （LPV） system, the differential mean value theorem combined with the sector nonlinearity transformation has been used. Stability conditions based on the Lyapunov function lead to solvability of a set of linear matrix inequalities. The proposed observer guarantees the global exponential convergence to zero of the estimation error. Finally, the simulation results are given to show the performance of the observer design.
文摘The problem of state feedback controllers for a class of Takagi-Sugeno （T-S） Lipschitz nonlinear systems is investigated. A simple systematic and useful synthesis method is proposed based on the use of the differential mean value theorem （DMVT） and convex theory. The proposed design approach is based on the mean value theorem （MVT） to express the nonlinear error dynamics as a convex combination of known matrices with time varying coefficients as linear parameter varying （LPV） systems. Using the Lyapunov theory, stability conditions are obtained and expressed in terms of linear matrix inequalities （LMIs）. The controller gains are then obtained by solving linear matrix inequalities. The effectiveness of the proposed approach for closed loop-field oriented control （CL-FOC） of permanent magnet synchronous machine （PMSM） drives is demonstrated through an illustrative simulation for the proof of these approaches. Furthermore, an extension for controller design with parameter uncertainties and perturbation performance is discussed.
