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1.
本文提出了一种基于DSP的自细分步进电机控制器系统设计与实现,该控制器利用TI公司的TMS320LF2407A DSP芯片和集成电机驱动芯片构成自细分步进电机控制系统。通过对电机转速和电机驱动芯片H桥的最优开关频率进行比较,确定电机步距角的细分数,从而实现对两台2相式步进电机的优化细分控制,在确保步进电机平稳、精确地运行的同时使电机驱动芯片工作在最佳的开关状态。  相似文献   

2.
通过设计对变频器控制的电机实现多段速控制,控制器选用了西门子的PLCS7-200进行编程,并设计了上位机工程,可以实时监控电机转速的运行情况。  相似文献   

3.
鉴于混合式步进电机建模的复杂性,提出了利用模糊控制器实现对二相混合式步进电机位置伺服系统进行控制的方法,并详细介绍了位置模糊控制器的设计,并且对该控制方案进行数字仿真。仿真结果表明:该系统在指定转速范围内运行平稳,定位时间短,具有较好的性能。  相似文献   

4.
《科技风》2017,(1)
减速机是工业机械臂重要的核心零部件,它的主要作用是把机械臂中交流电机高转速、低扭矩的输出转换成低转速、大扭矩的输出。一般大负载的情况下通常选用RV减速机。本文中通过设计基于PLC控制技术模拟工业机械臂的肘关节,验证多段速情况下减速机实际输出曲线。该实验台以PLC为核心控制器,通过变频器控制实现交流电机的多端速,通过模拟量模块检测交流电机工作过程中的实时转速,通过张力控制器模拟机械臂工作的负载。  相似文献   

5.
该设计采用变频器进行压力调节,PLC可编程控制器、变频器作为系统控制的核心部件。随时跟踪管网压力与额定压力的偏差变化,通过程序控制和运算,自动控制水泵投入的台数和电机转速,实现闭环自动调节恒压变量供水。  相似文献   

6.
本文以AT89S52单片机为核心构成云台控制器,通过8279键盘、显示接口芯片实现外部控制信息的输入以及步进电机转速的显示,控制摄像机进行上、下、左、右各方向的行进动作.为保证控制的可靠性,步进电机控制信号的发出不是由单片机完成,而是由专用步进电机驱动模块产生.  相似文献   

7.
《科技风》2017,(3)
论文阐述一般性液料混合搅拌装置的设计思路,采用西门子PLC控制器编程控制,实现对液料进液及搅拌的自动控制。装置主要由西门子S7-1500控制器、反应釜、变频电机、西门子G120变频器、称重配料系统和控制操作面板等构成,反应釜及安装附件按实际现场应用比例缩小,模块化安装。通过PLC按配方控制物料配比,并通过变频器输出来控制电机的转速快慢,操作面板直观显示电机及流程转速快慢,从而简单描述实际生产过程中几种物料通过搅拌合成最终成品过程。  相似文献   

8.
节能调速系统是基于电机专用控制DSP控制器-TMS320F2812设计的,主电路由三相不可控整流桥、智能功率模块IPM和有源逆变装置组成。采用电流转速双闭环矢量控制方式进行调速,对有源逆变装置采用电压和电流内环相结合的双闭环串级控制方式,对功率因数进行校正,实现能量回馈,节省能源。  相似文献   

9.
兰娜  苗敬利 《内江科技》2011,32(3):101-101,103
无刷直流电机是一个非线性、强耦合的系统,为了提高转速动态响应的快速性,本文设计了一种无刷直流电机的改进自抗扰解耦控制系统,改进的自抗扰控制器各组成部分均采用线性函数。仿真结果表明,与PI控制器相比该控制方案具有良好的转速响应效果,并且对外部扰动和电机模型的不确定性具有较好的鲁棒性和适应能力。  相似文献   

10.
《科技风》2016,(12)
步进电机是一种将电脉冲信号转换为角位移的执行元件。用单片机实现的步进电机控制系统具有成本低、易于实现、控制精度高、使用灵活等特点。文章采用AT89C51单片机制作步进电机控制器,并基于C语言进行控制器的软件设计。  相似文献   

11.
简单介绍了在无线遥控的基础上,通过89C52单片机[1]来控制交流电机的转速从而控制空调的风扇,通过步进电机来回运转72度从而实现风向的控制。并且采用过零检测技术,使可控硅输出完整的正弦波电压,避免了电网电压的干扰,增加了系统的稳定性。  相似文献   

12.
论文分析了步进电机细分数对定位过程的影响,讨论了阶梯升降速及离散控制实现的步进机平缓增速方法。利用可编程控制器(PLC)的高速计算产生控制脉冲,实现步进电机的快速定位控制。实验测试结果表明:系统能实现快速定位,且性能稳定、可靠性高。  相似文献   

13.
In the electric driving system, the measurement of the motor speed error becomes more and more important, which has an impact on the system vibration suppression. In this paper, based on the single-neuron adaptive PID control method, the dual-inertia system considering gear friction torque is modeled and studied. Firstly, the dual-inertia system with gear friction is established, and dynamic differential equations of it are derived; Then, the comprehensive meshing stiffness and the time-varying friction torque of the gear system are deduced; Next, the Ziegler-Nichlos frequency domain response method is adopted to obtain the parameters of the PID controller. The control methods including the PID, Fuzzy-PID with DOB and single-neuron adaptive PID are utilized to adjust the motor speed of the system; Finally, the effects of gear friction, the moment of inertia of load and control methods on motor speed and system error are analyzed.  相似文献   

14.
申旭 《科技广场》2010,(3):158-160
为了满足涂附磨具揉曲机的工艺要求,本文设计的涂附磨具揉曲机的自动控制系统以可编程控制器为核心,采用模糊控制技术协调卷取的张力,数字变频器和交流异步电动机控制电动机的速度,力矩控制器和力矩电动机控制收卷速度,张力检测装置检测卷取的张力并构成闭环控制系统。该系统具有速度稳定、张力恒定、可靠性高、操作简便的特点。  相似文献   

15.
In this paper, speed control, torque ripple minimization and Power Factor Correction (PFC) of a Canonical Switching Cell (CSC) with Sinusoidal and Space Vector Pulse Width Modulated (SVPWM) sensorless Permanent Magnet Brushless DC (PMBLDC) motor drive system with varying load is discussed. The constant speed of operation with minimum torque ripples and Unity Power Factor (UPF) operation during transient state is the most difficult control part in the motor drive system. At the starting condition, the current is too high due to the absence of back EMF and therefore the motor will start with high torque ripples. In order to eliminate these torque ripples during starting condition by limiting the starting current of the motor, it is necessary to have properly designed Canonical Switching Cell (CSC) converter and an intelligent controller, which will improve the power factor of the supply system and reliability of the PMBLDC motor drive. Here, the speed control, torque ripple minimization and power factor correction of a sensorless PMBLDC motor during starting and running condition with conventional and fuzzy logic controllers are proposed. The performance parameters of a PMBLDC motor with these controllers is analyzed through MATLAB/Simulink software.  相似文献   

16.
The requirement for An electrical grid-connected wind turbine is that the synchronous generator speed is stable within a required speed range for the electrical grid. In this paper, a hydraulic wind turbine (HWT) system is considered, and the working principle and working conditions of the HWT are introduced. A novel speed control method is proposed in this paper, using both a proportional flow control valve and a variable displacement motor, which are adjusted in combination to control the speed of the HWT. By establishing a state space model of the HWT and solving the nonlinear system with a feedback linearization method, a bivariate tracking controller is constructed to realize accurate speed control under fluctuating wind speed and the load disturbance conditions. The effectiveness of the control method is verified by simulation, but experimental results highlight problems with the method. The theoretical controller is simplified to reduce sensitivity to measurement noise and modeling error. The control effect has been improved to some extent, but it is limited. Based on these results, combined with the sliding mode variable structure control method and the feedback linearization method to solve the problem of measurement noise and modeling error, and the effectiveness of the control law is finally verified experimentally. It lays a theoretical foundation for the practical application of HWT.  相似文献   

17.
This paper proposes a novel Hermite neural network-based second-order sliding-mode (HNN-SOSM) control strategy for the synchronous reluctance motor (SynRM) drive system. The proposed HNN-SOSM control strategy is a nonlinear vector control strategy consisting of the speed control loop and the current control loop. The speed control loop adopts a composite speed controller, which is composed of three components: 1) a standard super-twisting algorithm-based SOSM (STA-SOSM) controller for achieving the rotor angular speed tracking control, 2) a HNN-based disturbance estimator (HNN-DE) for compensating the lumped disturbance, which is composed of external disturbances and parametric uncertainties, and 3) an error compensator for compensating the approximation error of the HNN-DE. The learning laws for the HNN-DE and the error compensator are derived by the Lyapunov synthesis approach. In the current control loop, considering the magnetic saturation effect, two composite current controllers, each of which comprises two standard STA-SOSM controllers, are designed to make direct and quadrature axes stator current components in the rotor reference frame track their references, respectively. Comparative hardware-in-the-loop (HIL) tests between the proposed HNN-SOSM control strategy and the conventional STA-SOSM control strategy for the SynRM drive system are performed. The results of the HIL tests validate the feasibility and the superiority of the proposed HNN-SOSM control strategy.  相似文献   

18.
A novel adaptive sliding-mode control system is proposed in order to control the speed of an induction motor drive. This design employs the so-called vector (or field oriented) control theory for the induction motor drives. The sliding-mode control is insensitive to uncertainties and presents an adaptive switching gain to relax the requirement for the bound of these uncertainties. The switching gain is adapted using a simple algorithm which does not imply a high computational load. Stability analysis based on Lyapunov theory is also performed in order to guarantee the closed loop stability. Finally, simulation results show not only that the proposed controller provides high-performance dynamic characteristics, but also that this scheme is robust with respect to plant parameter variations and external load disturbances.  相似文献   

19.
The steering torque of automobile EPS steering system is significant for driving steering control and good driving feel. Servo motor control and external interference moment are the core factors affecting EPS steering system. With the advancement of automotive technology, the requirements of EPS control technology have been gradually improved, and the driving and handling of vehicles at high speed have become the key issues. For the current EPS steering system at high speed vibration and steering feel, active disturbance rejection EPS torque control method is proposed, EPS variable mode controller was developed. The control of the variable mode is verified by experiment and the vibration torque from the road is controlled, determine the control frequency of 30 KHz, the amount of current fluctuation is the smallest. The ADRC (active disturbance rejection controller) technology is used to suppress the interference of the road surface, finally, the validity of active immunity is verified by bench test. Steering wheel vibration torque can be reduced by an average of 28.5% to 33.3%.  相似文献   

20.
Today, the quality of accessible power and the response of the system involved are most significant. Many controllers have been used by researchers dealing with issues pertaining to power. Controllers play a significant role in the renewable energy sector in terms of improving the quality of power and offering a speedy system response. This research analyzes the speed of response and harmonics and enhances system performance overall. The existing system consists of a photovoltaic panel, boost converter, multi-level inverter, classic proportional-integral (PI) controller, and three-phase induction motor. The proposed system comprises a photovoltaic-based multi-level inverter, fuzzy logic controller, buck-boost converter, and three-phase induction motor. The output of the photovoltaic panel is connected to a buck-boost converter, and that of the converter to an inverter, while the output of the seven-level multi-level inverter is connected to a three-phase induction motor. Motor speed is controlled by a fuzzy logic controller (FLC). The output of the proportional-integral (PI) controller is compared to that of the fuzzy logic controller. The behavior and performance of the existing system are verified with experimental setup and proposed system are verified by MATLAB and Simulink, and the results recorded.  相似文献   

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