广义预测控制的deadbeat性质研究

本文利用广义预测控制中对象与闭环特征多项式之间的系数映射关系，分析了闭环系统特征多项式系数为零的条件，导出了GPC闭环系统deadbeat性质完善而新颖的理论结果，并提供了一种基于系数空间映射的新思路来研究GPC的性质。

单相并网逆变器的Deadbeat控制

并网逆变器是分布式电源系统向电网输入功率的主要接口。在此分析了单相并网逆变器的无差拍(Deadbeat)电流控制方法。仿真结果及实验表明,无差拍控制方法有非常快的响应速度,可使输出电流准确、迅速地跟踪电网电压,与电网电压同频同相,向电网输出高质量的电能。

Deadbeat观测器的一种新的设计方法及实现(英文)

deadbeat观测器由于极点在原点而具有系统阵幂零的性质 ,本文充分利用这一性质 ,针对离散线性系统提出了一种新的deadbeat观测器设计方法 .该方法直接利用系统的I/O数据估计系统内部状态 ,无需对系统状态有个初始估计 ,相应的也就可以不受初始估计误差的影响 .文中给出了该观测器的具体实现步骤 ,并通过仿真验证了所提出方法的正确性与有效性 .

SPSVPWM-deadbeat并网控制策略研究

针对单相三电平逆变器的拓扑结构,引入一种适用于该拓扑结构的单相空间矢量脉宽调制(SPSVPWM)技术,在此基础上推导出单相三电平逆变器的暂态数学模型,从而提出了在一个开关周期内采样两次电流来实现实时电感辨识的方法,将实时电感辨识应用于无差拍控制,提高了无差拍控制的精确性。实验结果证明了该控制策略的正确性和可行性。

DEADBEAT COVARIANCE CONTROLLER DESIGN FOR SAMPLED-DATA SYSTEMS

The problem of deadbeat covariance controller design for sampled data feedback systems is considered. The purpose of considering this problem is to design linear discrete controllers such that the state covariance of the closed loop system achieves its steady state value which is equal to a prespecified positive definite matrix during finite beats. This problem is reduced to the similar one for equivalent discrete time systems by taking intersample behaviour into account. Both the existence conditions and the explicit expression of the desired controllers are given.

An Improved Deadbeat Predictive Current Control Method for SPMSM Drives with a Novel Adaptive Disturbance Observer

To improve the dynamic performance of conventional deadbeat predictive current control(DPCC)under parameter mismatch,especially eliminate the current overshoot and oscillation during torque mutation,it is necessary to enhance the robustness of DPCC against various working conditions.However,the disturbance from parameter mismatch can deteriorate the dynamic performance.To deal with the above problem,firstly,traditional DPCC and the parameter sensitivity of DPCC are introduced and analyzed.Secondly,an extended state observer(ESO)combined with DPCC method is proposed,which can observe and suppress the disturbance due to various parameter mismatch.Thirdly,to improve the accuracy and stability of ESO,an adaptive extended state observer(AESO)using fuzzy controller based on ESO,is presented,and combined with DPCC method.The improved DPCC-AESO can switch the value of gain coefficients with fuzzy control,accelerating the current response speed and avoid the overshoot and oscillation,which improves the robustness and stability performance of SPMSM.Finally,the three methods,as well as conventional DPCC method,DPCC-ESO method,DPCC-AESO method,are comparatively analyzed in this paper.The effectiveness of the proposed two methods are verified by simulation and experimental results.

A Robust Deadbeat Control Method for UPS Inverters

The traditional deadbeat control for UPS inverters has a robustness problem. The parametric imprecision can greatly harm the stability of the system, which restricts the application. A novel robust deadbeat control method is proposed in this paper to deal with the problem. In the proposed control method, a proportional element is added to the traditional deadbeat control in order to improve the robustness to parametric imprecision. To eliminate the error between output voltage and voltage reference caused by environmental noise and parametric deviation, a model reference adaptive regulator is also added to the control method. A 1kVA prototype is built based on DSP. Theoretical analysis and experimental results show that the robustness for parametric variation of the proposed method is much better than the traditional deadbeat control. The system can remain stable even when the systemic parameters have a large deviation from calculating parameters. The system has small static error and fast dynamic response with the new control method. This method is easy to realize in DSP and is suitable for full digital realization of UPS.

IPMSM的无速度传感器Deadbeat直接转矩控制

提出一种基于模型参考自适应有效磁链观测器的内置式永磁同步电机(IPMSM)无差拍直接转矩控制(DB-DTC)策略。通过引入有效磁链的概念,将电压模型与电流模型级联,构建模型参考自适应有效磁链和转速观测器,观测有效磁链的幅值和相位,进而实现转子位置和转速估计。将有效磁链观测器与DB-DTC相结合,实现IPMSM无速度传感器驱动控制。实验结果表明,该观测器可以在较宽速度范围内准确观测转子位置与速度,驱动系统具有良好的动、静态性能。

Fault-tolerant Deadbeat Model Predictive Current Control for a Five-phase PMSM with Improved SVPWM

The main drawbacks of traditional finite set model predictive control are high computational load,large torque ripple,and variable switching frequency.A less complex deadbeat(DB)model predictive current control(MPCC)with improved space vector pulse-width modulation(SVPWM)under a single-phase open-circuit fault is proposed.The proposed method predicts the reference voltage vector in the a-β subspace by employing the deadbeat control principle on the machine predictive model;thus,the exhaustive exploration procedure is avoided to relieve the computational load.To perform the constant switching frequency operation and achieve better steady-state performance,a modified SVPWM strategy is developed with the same conventional structure,which modulates the reference voltage vector.This new approach is based on a redesigned and adjusted post-fault virtual voltage vector space distribution that eliminates the y-axis harmonic components in the x-y subspace and ensures the generation of symmetrical PWM pulses.Meanwhile,the combined merits of the DB,MPCC,and SVPWM methods are realized.To verify the effectiveness of the proposed control scheme,comparative experiments are performed on a five-phase permanent magnet synchronous motor(PMSM)drive system.

An Improved Deadbeat Predictive Current Control of PMSM Drives Based on the Ultra-local Model

Deadbeat predictive current control(DPCC)has been widely applied in permanent magnet synchronous motor(PMSM)drives due to its fast dynamic response and good steady-state performance.However,the control accuracy of DPCC is dependent on the machine parameters’accuracy.In practical applications,the machine parameters may vary with working conditions due to temperature,saturation,skin effect,and so on.As a result,the performance of DPCC may degrade when there are parameter mismatches between the actual value and the one used in the controller.To solve the problem of parameter dependence for DPCC,this study proposes an improved model-free predictive current control method for PMSM drives.The accurate model of the PMSM is replaced by a first-order ultra-local model.This model is dynamically updated by online estimation of the gain of the input voltage and the other parts describing the system dynamics.After obtaining this ultra-local model from the information on the measured stator currents and applied stator voltages in past control periods,the reference voltage value can be calculated based on the principle of DPCC,which is subsequently synthesized by space vector modulation(SVM).This method is compared with conventional DPCC and field-oriented control(FOC),and its superiority is verified by the presented experimental results.

基于无差拍预测算法的双向隔离型AC-DC矩阵变换器高动态电流控制策略

针对双向隔离型AC-DC矩阵变换器采用传统双闭环控制策略存在的控制参数多、整定困难等问题,提出了一种基于无差拍预测算法的高动态电流控制策略,通过引入无差拍预测算法对网侧电流进行控制,以减少控制器参数,消除数字控制时延。考虑到算法中电压电流检测量众多,故采用输入电压观测器以降低检测成本,减小采样误差的影响。变换器采用后级单重移相的调制方法来协调配合无差拍预测算法,其中参考输入电流指令与移相角为双射函数关系,简单易实现。仿真和实验结果表明:采用所提控制策略可以实现网侧电流正弦,功率因数接近于1;直流侧电压稳定,电流纹波率小于1%;直流电流在参考值突变时,跟踪快速且无超调、无振荡;同时,在变换器功率正向传输、反向传输以及正反向切换过程中,采用所提控制策略相比于传统的双闭环控制策略,电流动态调节时间分别缩短了69%、85%、67%。由此证明所提控制策略可以保证变换器良好的输入输出性能,并且相比于传统的双闭环控制策略在切换过程中动态性能得到显著提升。

基于ESO的PMSM无模型快速超螺旋滑模预测控制

为提高表贴式永磁同步电机(Surface permanent magnet synchronous motor,SPMSM)在参数变化和外部扰动下的鲁棒性,提出一种基于扩张状态观测器的无模型快速超螺旋滑模预测控制方法。首先,建立SPMSM参数摄动时的新型超局部模型。其次,采用改进的超螺旋算法作为辅助控制率设计转速环无模型超螺旋滑模反馈控制器,同时利用复合的扩张扰动观测器估计超局部模型中的未知部分,并通过Lyapunov稳定性理论证明了控制器和观测器的稳定性。电流环应用无差拍电流预测控制策略,结合扩张状态观测器对扰动量进一步估计并进行前馈补偿,使电流环具有更好的动态响应和更小的谐波分量。仿真试验结果表明,所提方法可有效提高系统响应速度,改善SPMSM在发生参数漂移和外部扰动下的暂稳态性能,降低电流总谐波畸变率,提升系统鲁棒性和抗干扰性能。

不平衡电网下电流源型PWM整流器改进型无差拍控制

三相电流源型PWM整流器运行在电网电压不平衡情况下,引起直流侧及网侧电流存在大量低次谐波,势必对后级变换器供电稳定性、安全性等存在不利影响。针对该问题,首先建立整流器数学模型,推导出不平衡电网下直流侧电压和网侧电流表达式,揭示出系统直流侧和网侧电流产生低次谐波的机理。其次,根据瞬时功率理论设计内环电流参考指令,并利用无差拍控制实现网侧电流对参考电流的跟踪。然而传统无差拍控制存在延时问题,将影响网侧电流的跟随性能,造成电能质量下降。为解决该问题,提出了网侧电流内环改进型无差拍控制,利用两步预测法补偿系统延时。最后,基于Matlab/Simulink平台搭建仿真模型,验证所提控制策略的正确性与有效性。结果表明,所提方法能有效抑制直流侧和网侧电流低次谐波,实现网侧电流正弦化和直流侧电压稳定输出。

多谐振控制的同步磁阻电机鲁棒预测电流控制系统转矩脉动抑制方法

为抑制同步磁阻电机的转矩脉动并提高系统的鲁棒性,文中提出了一种基于多谐振速度环控制与自抗扰电流环的复合控制策略。由于同步磁阻电机的磁阻变化不均匀,从而导致电机电感随着磁饱和与交叉耦合效应变化,一方面,电感参数的变化会给电流环控制带来影响;另一方面,电感参数的变化还会引起转矩的脉动。因此提出基于多比例谐振的速度环控制策略,以抑制同步磁阻电机的转矩谐波。基于超局部模型的无差拍电流预测控制,利用改进的锁相环观测器对下一拍的电流和扰动进行预测,在电机参数变化时可以很好地实现电流的跟踪,从而提高系统的抗干扰能力。

Finite-Time Stabilization for Constrained Discrete-time Systems by Using Model Predictive Control

In this paper, a model predictive control(MPC)framework is proposed for finite-time stabilization of linear and nonlinear discrete-time systems subject to state and control constraints. The proposed MPC framework guarantees the finite-time convergence property by assigning the control horizon equal to the dimension of the overall system, and only penalizing the terminal cost in the optimization, where the stage costs are not penalized explicitly. A terminal inequality constraint is added to guarantee the feasibility and stability of the closed-loop system.Initial feasibility can be improved via augmentation. The finite-time convergence of the proposed MPC is proved theoretically,and is supported by simulation examples.

并网逆变器最优开关序列模型预测电流控制

传统的并网逆变器模型预测电流控制方法仅在控制周期内对电流波形进行单点预测,忽略了逆变器开关状态变化引起的输出电流纹波,为此提出一种改进的最优开关序列并网逆变器模型预测电流控制策略。首先,为减小开关切换次数、优化频谱分布,对空间电压矢量组合进行重新排列,设计6组开关序列,并根据开关序列提出基于无差拍的矢量持续时间计算方法。其次,在一个控制周期内设置8个电流预测点,以计算开关序列在控制周期内作用所产生的电流预测误差,并通过累加电流预测误差构造预测控制的价值函数,选择使价值函数最低的开关序列作为最优序列组合,提高并网电流波形质量。最后,通过实验验证所提策略在降低并网逆变器输出电流纹波方面的有效性。

基于参数辨识的永磁辅助同步磁阻电机电流无差拍控制

针对永磁辅助同步磁阻电机电感参数失配引起传统无差拍预测电流控制器受扰动的问题,该文提出一种电感参数自适应的无差拍预测电流控制方案。所提算法利用模型参考自适应系统对电感参数进行在线辨识,并将辨识结果代替控制器中的原始电感模型参数,以确保控制器的模型参数和电机实际参数相匹配,进而增强无差拍预测电流控制系统的鲁棒性。根据永磁辅助同步磁阻的数学模型,对电机本体进行了建模,以实现对所提算法的仿真验证。最后在以TMS320F28335控制器为核心的实验平台上进行了实验验证。仿真和实验结果均表明,当电机参数与模型参数不匹配时,所提算法相较于传统的无差拍预测电流控制算法在电流波动峰峰值、电流跟踪静差及系统鲁棒性方面都有明显的改善。

永磁同步电机低共模电压和低复杂度无差拍预测控制

针对永磁同步电机无差拍预测控制共模电压较大的问题,在一个控制周期内采用相位相反的基本电压矢量来生成虚拟零电压矢量抑制共模电压,并采用动态选择虚拟电压矢量生成方式来减小开关频率。为了提升无差拍预测控制性能,构造12个虚拟非零电压矢量来增加备选电压矢量。仿真结果表明:与7个基本备选电压矢量相比,基于19个备选电压矢量的无差拍预测控制降低转矩脉动6.89%,降低磁链脉动13.33%,同时共模电压也得到有效抑制。相较固定生成方式,动态选择虚拟电压矢量生成方式可降低开关频率25.89%。虽然该方法可有效提升系统性能,但增加遍历次数,极大增大计算量。为提高算法实时性,提出一种通过判断理想电压矢量所在区域来确定最优电压矢量简化确定方法,无需遍历计算,减小运算负担。基于STM32H743IIT6单片机实时性试验表明:相较于7个基本电压矢量,采用19个电压矢量算法执行时间增大273.40%,最优电压矢量简化确定方法执行时间减小88.09%。

永磁同步电机三相矢量双选取预测转矩控制

针对永磁同步电机在占空比模型预测转矩控制下,存在计算量较大、稳态性能不够理想的问题,提出一种三相矢量双选取模型预测转矩控制方法。首先将定子磁链所在空间复平面6个扇区重新划分为3个扇区;其次,设计一种基于三相电压矢量的新型开关表,依据新型电压矢量选择表,从三相电压矢量中选择出两个有效电压矢量,再加入一个零矢量,仅进行一次占空比计算,就可输出任意幅值、相角的期望电压矢量。仿真结果表明,该策略减少了系统计算时间,有效地抑制了转矩和磁链脉动且稳态性能良好。

预测控制与滑模控制结合的永磁同步电机控制

提出一种改进型无差拍预测电流控制方法与改进型滑模控制方法结合的控制策略。基于永磁同步电机的数学模型,构建电流内环控制算法,设计扩张状态观测器,解决无差拍预测电流控制因参数扰动及模型失配导致的电流误差问题。速度外环设计一种超局部模型滑模控制器,设计滑模扰动观测器削弱滑模抖振。仿真结果证明,结合后的控制方法有效提高了电机暂、稳态性能,提升了系统抗干扰能力、鲁棒性及响应速度。