Speed Regulation Method Using Genetic Algorithm for Dual Three-phase Permanent Magnet Synchronous Motors

Dual three-phase Permanent Magnet Synchronous Motor(DTP-PMSM)is a nonlinear,strongly coupled,high-order multivariable system.In today’s application scenarios,it is difficult for traditional PI controllers to meet the requirements of fast response,high accuracy and good robustness.In order to improve the performance of DTP-PMSM speed regulation system,a control strategy of PI controller based on genetic algorithm is proposed.Firstly,the basic mathematical model of DTP-PMSM is established,and the PI parameters of DTP-PMSM speed regulation system are optimized by genetic algorithm,and the modeling and simulation experiments of DTP-PMSM control system are carried out by MATLAB/SIMULINK.The simulation results show that,compared with the traditional PI control,the proposed algorithm significantly improves the performance of the control system,and the speed output overshoot of the GA-PI speed control system is smaller.The anti-interference ability is stronger,and the torque and double three-phase current output fluctuations are smaller.

Design and Test of Motor Double Fed Speed Regulating System for Conveyer Belt

This paper introduces the design of doubly fed system for conveyor belt motor, the system adopts stator flux orientation vector control technology and AC-AC inverter motor speed and power factor control, and carried on the test in transmission field. This paper introduces in detail the structure and characteristic of DSP system, and gives a design scheme of Doubly Fed Speed Control System of motor based on this chip.

Using Artificial Neural Networks for Energy Regulation Based Variable-speed Electrohydraulic Drive

In the energy regulation based varibable-speed electrohydraulic drive system, the supply energy and the demanded energy, which will affect the control performance greatly, are crucial. However, they are hard to be obtained via conventional methods for some reasons. This paper tries to a new route： the definitive numerical values of the supply energy and the demanded energy are not required, except for their relationship which is called energy state. A three-layer back propagation（BP） neural network was built up to act as an energy analysis unit to deduce the energy state. The neural network has three inputs： the reference displacement, the actual displacement of cylinder rod and the system flowrate supply. The output of the neural network is energy state. A Chebyshev type II filter was designed to calculate the cylinder speed for the estimation of system flowrate supply. The training and testing samples of neural network were collected by the system accurate simulation model. After off-line training, the neural network was tested by the testing data. And the testing result demonstrates that the designed neural network was successful. Then, the neural network acts as the energy analysis unit in real-time experiments of cylinder position control, where it works efficiently under square-wave and sine-wave reference displacement. The experimental results validate its feasibility and adaptability. Only a position sensor and some pressure sensors, which are cheap and have quick dynamic response, are necessary for the system control. And the neural network plays the role of identifying the energy state.

DC Motor Speed Regulator via Active Damping Injection and Angular Acceleration Estimation Techniques

This paper suggests a novel model-based nonlinear DC motor speed regulator without the use of a current sensor.The current dynamics,machine parameters and mismatched load variations are considered.The proposed controller is designed to include an active damping term that regulates the motor speed in accordance with the first-order low-pass filter dynamics through the pole-zero cancellation.Meanwhile,the angular acceleration and its reference are obtained from simple first-order estimators using only the speed information.The effectiveness is experimentally verified using hardware comprising the QUBEServo2,myRIO-1900,and LabVIEW.

The research of power saving frequency conversion speed regulation experiment system

A power saving frequency difference controlling method was introduced by the double inverter and motor experiment system.The characters of the system under differ- ent loads were investigated.The theoretical analysis and experiment results show the frequency difference method is a ideal power saving speed regulation method for the dou- ble inverter and motor system.The experiment system is simply structured,convenient to operate and provides a new way of character testing for frequency conversion speed regulation.

A Model-Based Unmatched Disturbance Rejection Control Approach for Speed Regulation of a Converter-Driven DC Motor Using Output-Feedback

The speed regulation problem with only speed measurement is investigated in this paper for a permanent magnet direct current(DC)motor driven by a buck converter.By lumping all unknown matched/unmatched disturbances and uncertainties together,the traditional active disturbance rejection control(ADRC)approach provides an intuitive solution for the problem under consideration.However,for such a higher-order disturbed system,the increase of poles for the extended state observer(ESO)therein will lead to drastically growth of observer gains,which causes severe noise amplification.This paper aims to propose a new model-based disturbance rejection controller for the converter-driven DC motor system using output-feedback.Instead of estimating lumped disturbances directly,a new observer is constructed to estimate the desired steady state of control signal as well as errors between the real states and their desired steady-state responses.Thereafter,a controller with only speed measurement is proposed by utilizing the estimates.The performance of the proposed method is tested through experiments on dSPACE.It is further shown via numerical calculations and experimental results that the poles of the observer within the proposed control approach can be largely increased without significantly increasing magnitude of the observer gains.

The Applications of High-voltage variable frequency speed regulation System in Main Exhauster of Sintering

Main Exhauster is one of the main equipment of sintering production. It needs to consume a lot of electricity. Therefore, the system＇ s reconstruction for energy-saving will effectively reduce electricity for the production. The paper takes an iron and steel enterprise that had successfully transformed the synchronous motors of main exhauster of sintering as an example, which describes the application of high-voltage variable frequency speed regulation system in main exhauster of Sintering, so as to provide a reference for other iron and steel enterprises.

Robust output regulation problem with prescribed performance for nonlinear strict feedback systems

This paper investigates the problem of robust output regulation control with prospected transient property for strict feedback systems.By employing the internal model principle,the robust output regulation problem with a prospected property can be transformed to a robust stabilization problem with a new output constraint.Then,by constructing the speed function and adopting barrier Lyapunov function technique,the dynamic feedback controller can be designed not only to drive error output of the closed-loop system entering into a prescribed performance bound within a given finite time,but also to achieve that the error output converges to zero asymptotically.The effectiveness of the results is illustrated by a simulation example.

智能化视角下造纸机传动系统变频调速控制研究

在当今造纸行业向智能化转型的背景下,造纸机作为纸张生产的核心设备,其传动系统的高效运行对整体生产效率和产品质量起着决定性作用。电气自动化与变频调速技术的深入应用,极大地推动了造纸机控制系统的技术进步,为实现造纸机械高效、稳定生产提供了坚实的技术基础。基于此,在探讨造纸机传动控制系统的构成与设计关键点,并针对常见的变频调速技术进行分析,特别是直接转矩控制(DTC)算法在优化传动系统中减少异步电机电磁转矩波动、降低能耗、提升效率方面的应用,旨在为造纸机传动系统的优化提供切实可行的解决方案。

温度影响下的开槽盘式磁力耦合器调速特性

针对温度影响下盘式磁力耦合器调速问题,以一台6对极16槽的开槽盘式磁力耦合器为研究对象,基于矢量磁位法,结合修正三维端部效应的卡特系数并考虑温度对永磁体剩磁的影响,依据磁力耦合器轴向介质不同与导体盘轭铁和铜导体交替排列的结构,推导出其整体的电磁转矩公式。再分别建立恒转矩负载、二次方率负载和恒功率负载工况下的调速关系解析模型。通过有限元模拟分析,确定了不同温度、不同气隙下的开槽盘式磁力耦合器在3种不同负载工况下的调速范围与调速特性。最后,搭建试验平台进行调速性能试验,将不同负载工况下磁力耦合器电磁转矩与输出转速的理论、仿真、实验值三者进行对比,结果表明理论模型有较高的准确性,为开槽型磁力耦合器在调速系统中的智能调控提供了理论依据。

风电机组自适应步进惯量控制策略

若风电机组参与调频时采用步进惯量控制(stepwise inertial control,SIC)策略,其退出调频时有功快速下降可能会引发系统频率二次跌落(frequency second drop,FSD)问题。已有文献中一类改进的SIC策略通过减小风电机组退出调频后有功下降阶段的斜率来应对FSD问题,然而该类改进的SIC策略使得风电机组在退出调频后其有功需要一段时间才会小于风能捕获,在此期间转子转速会继续下降并有可能低于转速下限,危及风电机组运行安全。文章对这一类改进的SIC策略做了进一步完善,提出了一种风电机组自适应SIC策略,根据风电机组退出调频时的转子转速自适应设置风电机组退出调频后有功下降阶段的斜率,在确保风电机组退出调频后转子转速不会低于转速下限的前提下,最小化FSD的幅度。

低电容CHB型混合动力中压电机调速系统

针对氢燃料电池大功率电机驱动系统,提出一种以燃料电池为主动力源的轻量化级联H桥(cascadedH-bridge,CHB)型混合动力中压电机调速系统。所提系统由燃料电池/蓄电池/超级电容的混合动力源供电,基于四有源桥(quad activebridge,QAB)与CHB子模块互联的两级变换器(cascaded H-bridges with quad active bridge,CHB-QAB)作为调速变换器。CHB-QAB通过四绕组高频变压器将各子模块进行内部互联,采用单边同步双边移相调制的策略,使得所有子模块呈现开关电容特性,在不依赖复杂控制的前提下,减小子模块电容的容值,提升系统的功率密度。针对三类动力源,采用基于低通滤波(lowpassfilter,LPF)的能量管理策略,保证电机实际运行过程中的有效功率分配,解决燃料电池对电机动态响应缓慢和燃料饥饿现象等问题。最后通过仿真与实验对所提轻量化电机调速系统进行验证。

基于单片机的直流电机变频调速方法与仿真

针对电机谐波损耗及逆变器输出谐波信号影响直流电机变频调速的稳定性,导致调速性能不佳等,提出一种基于单片机的直流电机变频调速方法。建立直流电机变频调速状态空间模型,通过上述模型获取变频调速系统的运行状态;采用电流、速度双闭环PI控制器实现直流电机的变频调速初步控制,使直流电机变频调速系统可同时满足静态性能与动态性能;将直流侧电压输入至SVPWM脉宽调制系统,进一步降低电机谐波损耗和脉动转矩,实现变频调速的精确控制。仿真结果表明,所提方法的直流电机变频调速稳定性更佳、精度更高,整体效果更佳。

基于强化学习的柴油机调速算法研究

为了更好地调节柴油机转速,提出一种强化学习–比例积分微分(proportional integral derivative, PID)控制器,并应用到了柴油机转速控制中。基于连续动作空间的柔性动作–评价(soft actor-critic, SAC)算法,结合连续型PID控制器,设计了一种强化学习–PID控制器,可代替传统PID控制的转速环。优化设计了基于演员–评论家(actor-critic)框架的输入输出和奖励函数以匹配柴油机特性,采用随机动作增加寻优效率,形成SAC-PID控制柴油机转速的网络交互结构,达到快速调整转速,减小稳定时间的效果。构建了以柴油机D6114为原型机的MATLAB/Simulink平均值模型,并利用试验数据验证了仿真模型的有效性。利用平均值模型,仿真验证了该控制算法效果。经过仿真验证本算法使柴油机转速响应曲线超调量更小,响应时间更快,鲁棒性更强,SAC-PID控制负载瞬态调速率和稳定时间均已达到1级精度指标。仿真对比验证了SAC算法的联合控制效果,结果表明其较其他算法更佳。

入料速度动态调节式马铃薯切条机设计与试验

针对目前马铃薯切条机切削质量差、切削薯条破损率高以及自动化程度低等问题,对马铃薯切条机结构进行改进设计。采用激光传感器和入料分流装置检测入料速度并对入料速度进行调控,提高入料均匀性与切削稳定性。通过对关键部件的分析确定了影响切条质量的关键因素与取值范围。以离心滚筒转速、推料叶片倾角和切片刀安装角为试验因素,以切条合格率和分切破损率为试验指标,进行三因素三水平响应面试验,利用Design-Expert 10.0.1软件对试验结果进行方差分析,通过响应面分析交互因素对试验指标的影响规律。运用软件优化得出试验因素的最优组合并进行验证试验,结果表明:当离心滚筒转速为224.6r/min、推料叶片倾角为19.4°、切片刀安装角为292°时,切条合格率为96.7%、分切破损率为2.0%。在此基础上进行入料速度控制调节试验,试验结果显示:切条合格率为96.2%,分切破损率为2.4%,产量达3.3t/h,切条合格率提高7%,分切破损率降低4%,切削效率提高28%,提高了马铃薯切条机流水线工作时的切削质量与效率。

商用洗碗机传送带控制优化设计

为了解决当前商用洗碗机传送带系统调速成本高、稳定性差、调速复杂等问题,提出对商用洗碗机传送带控制系统进行优化设计的方法。该设计包括洗碗机传送带链排结构、减速电机装置、变频器选型和接线设计,并对变频器调速控制部分进行详细设计。该设计的优点是变频器调速易于实现、成本低、稳定性高且传送带不打滑准确性高。该设计在安庆三维电器有限公司生产的商用FTC-IPAD2洗碗机中进行应用实验,结果表明:提出的优化设计科学合理、系统运行稳定,能实现电动机软启动,对机械设备的冲击力较小,调速方便,已经应用于安庆三维电器有限公司生产的商用洗碗机上,洗碗机已经生产销售到全国舰船、大型食堂等场所。

基于智能逆变技术的玉米精播机性能优化

为进一步提升我国玉米精播机的综合作业效率,以性能优化提升作为研究目标,基于智能逆变技术的深度应用展开分析。以电控逆变处理与调速机制相融合为出发点,建立正确的电控模块逆变应用数学模型,通过控制分析与硬件优化,进行整机作业试验。结果表明:基于智能逆变技术应用的玉米精播机性能优化效果明显,排种精准率与播深合格率分别可提升至94.46%与94.05%,满足精量播种机的设计要求;同时,种子的重播率与漏播率可降低至3.83%与3.06%,整机作业运行稳定,各零部件指令执行协同性好,综合效率相对提升了5.88%,充分体现了智能逆变应用的准确性与适应性,可为类似农机播种装备优化提供参考。

基于改进势场法的智能车超车动态路径规划

为了改进人工势场法(artificial potential field,APF)在智能车高速超车状态下规划出的轨迹规范性差、安全性得不到保障、以及路径不平滑的问题。设计用于指引智能车换道的换道引力势场,以保证换道轨迹的规范性;构建异向分布结构的障碍车斥力势场提高换道的安全性;并建立带有转向缺口的道路中心线斥力势场和设计平滑代价函数优化规划出的轨迹点,使规划出的路径更加平滑。基于线性二次型调节器(linear quadratic regulator,LQR)设计路径跟踪控制器跟踪规划出的路径。通过Simulink与Carsim联合仿真,结果表明:所改进的APF算法能规划出更加合理的路径,设计的LQR路径跟踪控制器跟踪误差趋近于零,能够较好地控制车辆完成超车换道。

总相位滞后角-延时关系下的电子机械制动主控制器控制方法

电子机械制动(electromechanical brake,EMB)的主控制器延时受到多种因素的影响,影响因素与延时控制之间存在复杂的交互作用,导致对其延时控制具有较高难度。为此,提出了一种电子机械制动主控制器延时控制方法。综合考虑电机堵转转矩、电机摩擦、传动机构和制动机构等因素对电子机械制动的影响,分析制动系统的延时与滞后角的相互关系。计算主控制器延时与电子机械制动的总相位滞后角量化关系,通过状态观测器获取其估计值,利用电机转子的转动惯量、摩擦力矩、传动和制动方程获取EMB的制动状态,结合主控制器估计增益参数,实现延时的主动控制。实验结果表明,所提方法应用下主控制器的延时控制耗时较短,电子机械制动距离和滑移率得以明显降低,说明该方法能够有效地保障电子机械制动的稳定性。

计及风力发电机转速安全约束的DFIG一次调频模型预测控制策略

针对传统方法控制双馈感应发电机(DFIG)的调频效果过于依赖参数整定的问题,该文提出了一种基于模型预测控制(MPC),计及转速安全约束的风力发电机参与一次调频控制策略。该方法结合风力发电机动力学模型与频率响应模型建立预测模型,通过线性回归方法变参考值将风力发电机转速的稳定性纳入考虑。相较于虚拟惯性控制等方法将系统频率偏差与转子动能直接关联,该文方法通过建立全新的预测模型,实时统筹考虑整个系统的状态信息,无需反复调整参数,在考虑转速安全性的同时兼顾全局性能。最后,通过实际算例分析验证了该文调频策略的有效性以及相对现有方法的优越性。