Model Predictive Control-Based Direct Torque Control for Matrix Converter-Fed Induction Motor with Reduced Torque Ripple

To reduce the torque ripple in motors resulting from the use of conventional direct torque control(DTC),a model predictive control(MPC)-based DTC strategy for a direct matrix converter-fed induction motor is proposed in this paper.Two new look-up tables are proposed,these are derived on the basis of the control of the electromagnetic torque and stator flux using all the feasible voltage vectors and their associated switching states.Finite control set model predictive control(FCS-MPC)has then been adopted to select the optimal switching state that minimizes the cost function related to the electromagnetic torque.Finally,the experimental results are shown to verify the reduced torque ripple performance of the proposed MPC-based DTC method.

Finite Control Set Model Predictive Torque Control Using Sliding Model Control for Induction Motors

Finite control set model predictive torque control(FCS-MPTC)has become increasingly prevalent for induction motors(IM)owing to its simple concept,easy incorporation of constraints and strong flexibility.In traditional FCS-MPTC speed controller design,a classical proportional integral(PI)controller is typically chosen to generate the torque reference.However,the PI controller is dependent on system parameters and sensitive to the load torque variation,which seriously affects control performance.In this paper,a model predictive torque control using sliding mode control(MPTC+SMC)for IM is proposed to enhance the robust performance of the drive system.First,the influence of the parameter mismatches for FCS-MPTC is analyzed.Second,the shortcomings of traditional PI controller are derived.Then,the proposed MPTC+SMC method is designed,and the MPTC+PI and MPTC+SMC are compared theoretically.Finally,experimental results demonstrate the correctness and effectiveness of the proposed MPTC+SMC.In comparison with MPTC+PI,MPTC+SMC has the better dynamic performance and stronger robust performance against parameter variations and load disturbance.

Model predictive torque control of permanent magnet synchronous motor system driven by matrix converter

Employing matrix converter （MC） as driving mode, the strategy of model predictive torque control （MPTC） is proposed for three phase permanent magnet synchronous motor （PMSM） system. MC is applied instead of conventional AC DC AC converter to increase the power factor （PF） of the system input side. MPTC is used to select optimal voltage space vector to enable the system to have satisfactory torque and flux control effect. The resultant MPTC strategy not only makes the MC fed PMSM system operate reliably and have perfect control performance, but also makes the PF of the system input side be 1. Compared with direct torque control （DTC）, the proposed MPTC strategy guarantees that MC fed PMSM has better command following characteristics in the presence of variation of load torque and tracking reference speed. Simulation results verify the feasibility and effectiveness of the proposed strategy.

Model Predictive Direct Torque Control of Permanent Magnet Synchronous Motor (PMSM) with Online Parameter Estimation Based on Extended Kalman Filter

Aiming at the torque and flux ripples in the direct torque control and the time-varying parameters for permanent magnet synchronous motor (PMSM), a model predictive direct torque control with online parameter estimation based on the extended Kalman filter for PMSM is designed. By predicting the errors of torque and flux based on the model and the current states of the system, the optimal voltage vector is selected to minimize the error of torque and flux. The stator resistance and inductance are estimated online via EKF to reduce the effect of model error and the current estimation can reduce the error caused by measurement noise. The stability of the EKF is proved in theory. The simulation experiment results show the method can estimate the motor parameters, reduce the torque, and flux ripples and improve the performance of direct torque control for permanent magnet synchronous motor (PMSM).

Single Phase Induction Motor Drive with Restrained Speed and Torque Ripples Using Neural Network Predictive Controller

In industrial drives, electric motors are extensively utilized to impart motion control and induction motors are the most familiar drive at present due to its extensive performance characteristic similar with that of DC drives. Precise control of drives is the main attribute in industries to optimize the performance and to increase its production rate. In motion control, the major considerations are the torque and speed ripples. Design of controllers has become increasingly complex to such systems for better management of energy and raw materials to attain optimal performance. Meager parameter appraisal results are unsuitable, leading to unstable operation. The rapid intensification of digital computer revolutionizes to practice precise control and allows implementation of advanced control strategy to extremely multifaceted systems. To solve complex control problems, model predictive control is an authoritative scheme, which exploits an explicit model of the process to be controlled. This paper presents a predictive control strategy by a neural network predictive controller based single phase induction motor drive to minimize the speed and torque ripples. The proposed method exhibits better performance than the conventional controller and validity of the proposed method is verified by the simulation results using MATLAB software.

Simulation on model predictive control for PMSM drive system based on double extended state observer

A novel double extended state observer(DESO)based on model predictive torque control(MPTC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive system without current sensor.In general,to achieve high-precision control,two-phase current sensors are necessary for successful implementation of MPTC.For this purpose,two ESOs are used to estimate q-axis current and stator resistance respectively,and then based on this,d-axis current is estimated.Moreover,to reduce torque and flux ripple and to improve the performance of the torque and speed,MPTC strategy is designed.The simulation results validate the feasibility and effectiveness of the proposed scheme.

Research on nonlinear model predictive control for turboshaft engines based on double engines torques matching

In order to reach a compromise between fast response control and torques matching control in double turboshaft engines,research on nonlinear model predictive control for turboshaft engines based on double engines torques matching is conducted.Meanwhile,a Nonlinear Model Predictive Control(NMPC)method is proposed,which combines the control index of the power turbine speed with torques matching of double engines creatively.In addition to the control index,the difference of output torques between each engine is also incorporated in the objective function as a penalty term to ensure constant speed control and short torques matching time.Simulation results demonstrate that relative to unilateral torques matching,the settling time of the bidirectional matching method can be reduced by nearly 30.8%.Nevertheless,compared with the bidirectional torques matching method under the cascade PID controller,the NMPC method can decrease the overshoot of the power turbine speed by 65%and reduce the matching time by 15.5%synchronously.Besides fast response control of turboshaft engines,fast torques matching control of double engines is accomplished as well.

Model Predictive Torque Control for a Dual Three-phase PMSM Using Modified Dual Virtual Vector Modulation Method

Single voltage vectors applied in the conventional model predictive torque control(MPTC)for multiphase motors do not only suffer from serious torque and stator flux ripples but also cause the large harmonic current.To address the aforementioned challenges,an MPTC using a modified dual virtual vector modulation method is proposed to improve the operational performance of a dual three-phase permanent magnet synchronous motor.Virtual voltage vectors are synthesized as the candidate control set to restrain the harmonic current.A transformation method is introduced to consider both the stator flux and torque in the duty cycle modulation.The torque and stator flux ripples are simultaneously reduced by addressing the limitations of nonuniform units.Furthermore,the null voltage vector is then inserted to expand the modulation range and improve the steady-state performance.Moreover,the sawtooth carrier is adopted to address the challenge of the asymmetric switch sequence caused by the modified modulation.Finally,the experimental results are presented to verify the effectiveness and superiority of the proposed MPTC method.

基于级联惯性负载转矩观测器的永磁伺服电机复合抗扰控制

针对永磁伺服电机在运行时位置跟踪精度差和抗干扰性能弱等问题,提出一种模型预测位置控制与非奇异快速终端滑模速度控制相结合的复合模型预测控制策略。该控制策略采用非奇异快速终端滑模设计速度控制器,以有效提高响应速度及系统鲁棒性;采用模型预测位置控制提高位置跟踪精度;同时,采用基于转动惯量观测和负载转矩观测器相结合的级联惯性负载转矩观测器观测负载转矩并进行前馈补偿,进一步提高系统的抗干扰性能。通过仿真和实验结果可得,所提复合模型预测控制可有效提高永磁伺服电机的动态响应速度和抗负载扰动能力。

Optimal Control of Wind Turbines under Islanded Operation

In this paper, an optimal control scheme for wind turbine output torque and power regulation under the influence of wind disturbances is presented. The system considered is a dynamic mechanical-based model with pitch and generator torque actuators for controlling the pitch and generator torque. The performance of linear matrix inequality (LMI) formalism of linear quadratic regulator (LQR);linear quadratic regulator with integral action (LQRI) and model predictive control (MPC) were compared in response to a step change in wind disturbance. It is shown by Matlab simulation that the LQRI outperformed both LQR and MPC controllers.

A novel MPTC sensorless control strategy for ANFTSMC with ESO to control PMSM

Aiming at the problem that the traditional control strategy of permanent magnet synchronous motor(PMSM)for electric vehicles has low control performance,a novel adaptive non-singular fast terminal sliding mode control(ANFTSMC)model predictive torque control(MPTC)strategy is proposed.A new adaptive exponential approach rate is designed,and the traditional switching function sgn()is replaced by the hyperbolic tangent function tanh().A new ANFTSMC with extended state observer(ESO)is constructed as the speed regulator of the system,and ESO can observe disturbances.This improved method weakens chattering and improves the robustness of the system.To realize sensorless control of the speed control system,an ESO speed observer based on tanh(Fal)is constructed.Compared with the traditional ESO based on Fal function,the observation error is smaller,and the observation accuracy is higher.Finally,aiming at the model predictive torque control strategy used,a new objective function construction method is proposed,which avoids the design of weight coefficient,and the traditional voltage vector selection method is improved and optimized,which reduces the calculation amount of the algorithm.

Anti-Windup Control Strategy of Drive System for Humanoid Robot Arm Joint

To address the problems of torque limit and controller saturation in the control of robot arm joint,an anti-windup control strategy is proposed for a humanoid robot arm,which is based on the integral state prediction under the direct torque control system of brushless DC motor. First,the arm joint of the humanoid robot is modelled. Then the speed controller model and the influence of the initial value of the integral element on the system are analyzed. On the basis of the traditional antiwindup controller,an integral state estimator is set up. Under the condition of different load torques and the given speed,the integral steady-state value is estimated. Therefore the accumulation of the speed error terminates when the integrator reaches saturation. Then the predicted integral steady-state value is used as the initial value of the regulator to enter the linear region to make the system achieve the purpose of anti-windup. The simulation results demonstrate that the control strategy for the humanoid robot arm joint based on integral state prediction can play the role of anti-windup and suppress the overshoot of the system effectively. The system has a good dynamic performance.

永磁同步电机改进型鲁棒模型预测转矩控制

针对永磁同步电机传统模型预测转矩控制策略存在脉动大、抗干扰能力差、权重因子需要反复调试等缺点,提出了一种基于自抗扰控制器的改进型鲁棒模型预测转矩控制策略。首先,通过设计转速环自抗扰控制器,并引入一种连续且平滑的新型fal函数,进一步提高了自抗扰控制的控制性能。然后,设计了一种无权重系数的价值函数,优化系统控制性能的同时简化了设计过程,解决了权重因子调试的问题。最后,采用两步预测降低延时对控制系统的影响,提高了控制精度。仿真和实验结果表明,提出的改进型鲁棒模型预测转矩控制策略有效降低了系统脉动,提高了系统的控制性能和参数鲁棒性。

基于蜣螂优化算法的永磁同步电机模型预测转矩控制

针对永磁同步电机传统控制系统的转速跟踪能力差和抗扰性能弱等问题,提出一种基于蜣螂优化算法的永磁同步电机模型预测转矩控制(DBO-MPTC)策略。建立起基于传统模型预测控制的永磁同步电机离散系统,随后引入蜣螂优化算法参与到控制器参数的在线整定。搭建了基于蜣螂优化算法的预测控制仿真模型,验证所提策略的优越性。仿真结果表明,相较于传统模型预测控制,采用DBO-MPTC控制策略,提高了永磁同步电机的速度响应和抗干扰能力。

永磁同步电机模型预测转矩控制共模电压抑制研究

针对永磁同步电机模型预测转矩控制共模电压较大的问题,对比分析了磁链、转矩和共模电压共同控制、直接去除零电压矢量和虚拟零电压矢量三种抑制共模电压的方法。仿真结果表明,三种方法均可有效抑制共模电压。前两种方法均未采用零电压矢量,导致磁链脉动和转矩脉动增大;虚拟零电压矢量方法既保留了零电压矢量,又有效抑制了共模电压,但开关频率有所增大;动态虚拟零电压矢量选择开关次数最小的零电压矢量生成方式,可在控制性能基本相当的前提下,有效减小开关频率,综合性能最优。

基于虚拟电压矢量模型预测转矩的船舶推进电机控制研究

针对船舶电力推进系统中六相永磁同步电机所采用传统直接转矩控制技术(DTC)仅采用最外围电压大矢量,会产生较大谐波电流并导致转矩波动大的问题,提出基于虚拟电压矢量合成的模型预测转矩控制策略(V-MPTC),利用α-β子空间中同向的大矢量和中矢量与z_(1)-z_(2)子空间中反向的小矢量和中矢量恰好对应原理,通过适当地调节一个PWM周期内大矢量和中矢量的占空比,可以使z_(1)-z_(2)子空间中的合成电压矢量幅值为0,实现对电机谐波电流和转矩脉动的抑制。同时为了便于硬件系统实现,进行电压矢量中心化以及采取提前2步的预测方法。仿真结果表明,采用V-MPTC控制策略使系统响应速度有所提高,启动转速超调降低,转矩脉动从0.15 N·m降至0.04 N·m,谐波畸变率从68.92%降至10.85%,验证了该方法在船舶电力推进系统中可提高其控制性能。

基于ESO分数阶滑模调节的PMSM模型预测转矩控制

为了提高永磁同步电机调速系统的性能,提出一种基于扩张状态观测器的分数阶滑模预测转矩控制策略。采用扩张状态观测器对电机的综合扰动项、定子电流和反电动势进行实时观测,可快速准确得到它们的估计值并进行补偿;利用估计值构建分数阶滑模控制器来削弱系统抖振并提高鲁棒性;利用转矩和磁链无差拍预测控制,减少了遍历次数并降低了计算复杂度。通过仿真和半实物平台进行了验证,所得结果表明,所提出的方法能有效提升系统的鲁棒性,使电机具有良好的动态和静态性能。

结温导向的牵引变流器寿命优化控制

结温是影响绝缘栅双极型晶体管(IGBT)寿命的主要因素。为了提高地铁两电平牵引变流器寿命,提出一种降低结温的异步牵引电机双矢量模型预测转矩控制(DVMPTC)策略。将传统DVMPTC的第二个电压矢量选择范围缩小在与第一个电压矢量不切换或仅切换一次的范围,降低IGBT开关损耗的同时减小系统计算量;在代价函数中约束IGBT及其反并联二极管的损耗,动态加入损耗因子,并赋予权重系数,使得最优矢量的选择兼顾控制性能与降低损耗。通过仿真分析,本文所提方法相较于传统基于分段调制算法的直接转矩控制策略,降低了结温及其波动,提高了牵引变流器寿命。

一种永磁同步电机模型预测转矩控制简化策略研究

针对永磁同步电机传统模型预测转矩控制(MPTC)在线计算负担较大的问题,提出了一种MPTC简化策略。通过分析基本电压矢量在定子磁链不同扇区的利用率,舍弃利用率较小的电压矢量,减小备选电压矢量数量。并分析不同转矩误差绝对值下的零电压矢量的利用率,当转矩误差较小时,直接输出零电压矢量;当转矩误差较大时,舍弃零电压矢量,将备选电压矢量最大数量减小至4个。进一步,通过成本函数增加磁链误差约束,有效降低磁链脉动。仿真结果表明,与传统MPTC相比,所提简化控制策略可有效减少MPTC系统遍历次数,减轻计算负担,降低系统开关频率,且控制性能基本相当。