基于STM32F407的永磁同步电机伺服控制器设计

首先介绍了永磁同步电机伺服控制器的基本功能及控制原理,并以STM32F407为基础进行了小功率的伺服控制器设计,详细讲述了伺服控制器的软、硬件的具体设计流程及其实现方式。并通过意法半导体公司提供的相关软件设计工具快速、有效地完成伺服控制器的设计、调试。     

机电系统自适应控制仿真

针对机电伺服系统中存在的不确定因素和多余力扰动问题,提出一种自适应比例－积分－微分(PID)控制策略。该自适应控制器由最优PID控制器和小脑模型关节控制器(CMAC)组成,最优PID控制器用来整定系统的标称模型,CMAC控制器用来克服系统中含有的不确定项和多余力扰动,自适应PID控制器能确保系统跟踪误差和CMAC权值误差收敛到零。仿真结果表明,本文提出的控制器具有令人满意的跟踪性能,对系统中的不确定因素和多余力扰动具有一定的鲁棒性。     

雷达伺服系统中PID控制器的模糊化

本文介绍了 PID 控制器在跟踪系统中的应用及其和模糊理论在伺服控制中的结合使用。针对雷达伺服系统中的 PID 控制器对被控对象参数过于敏感的缺点,本文在原系统 PID 控制器的基础上加入模糊控制策略,以改善伺服系统的性能。     

基于FESTO伺服控制器的仓储抓取系统设计

针对仓储抓取控制系统设计的问题,设计了一个基于FESTO伺服控制器的实验装置。以FESTO伺服控制器作为运动控制单元,S7300PLC作为控制器、WinCC作为监控软件,通过经济合理地配置系统硬件及较为完善的编程,成功地搭建了一个基于FESTO伺服控制的仓储抓取装置。在此平台中,PLC采用模块化的编程方式,WinCC用C脚本的方式实现系统丰富的动态显示,充分利用系统不同部分的资源,完成不同任务,达到系统运行的最优效果。     

基于FPGA的数字积分法插补控制器设计与实现

为了提高伺服电机的步进精度,简化控制器结构,采用FPGA器件并运用Verilog HDL语言设计出的插补控制器,不仅采用数字积分法实现直线插补控制和圆弧插补控制,提高了插补速度和插补精度,而且运用多轴联动技术,实现输出脉冲的均匀分配。它可接收外部处理器指令,并发出所需的脉冲到伺服电机的驱动中,从而控制伺服电机的运转,其结果证明了该控制器的正确性。这种结构的控制器简化了一般数字控制器结构,具有良好的移植性能和一定的实用价值。     

模糊PID控制器在航空可见红外相机伺服系统中的应用

本文针对航空可见红外相机的位置伺服系统,设计了一种混合型模糊PID控制器.该控制器将二维模糊控制器和常规的PI控制器相结合,根据位置误差的不同,选择不同的控制策略,使位置伺服系统具有动态响应快及稳态误差小的特点,与传统的超前一滞后校正网络的仿真比较表明,所设计的混合型模糊PID控制器能够显著提高位置伺服系统的动态和静态性能,并可广泛应用于红外可见光相机系统.     

Dynamic model based auto-tuning digital servo driver

This paper presents a new digital servo driver that realizes an auto-tuning function using a disturbance torque observer. By the auto-tuning function, a controller of the driver can obtain parameters for advanced controls. In the proposed driver, the controller is not a PI controller, but the model feedforward controller that is based on the dynamic equation of the plant. Then it is named a dynamic model based auto-tuning digital servo driver. The control parameters such as inertia constant, viscous coefficient, and constant disturbance torque, are automatically obtained by the orthogonal relation between torque components of the estimated disturbance torque. This auto-tuning algorithm is realized with a simple software for easy installation. The experimental results show that the auto-tuning digital servo driver can achieve good performances and that the driver is able to estimate all parameters accurately     

基于捷联惯性/GPS组合的伺服跟踪系统软件设计

介绍了数字伺服跟踪系统的组成和控制原理,讨论了影响微控制器选择的几个要素,以任务分类和软件模块化为设计思路研究了系统管理软件模块、捷联惯性/GPS组合的伺服控制算法模块、伺服控制测试模块。最后将设计的软件加载到微控制器中对伺服跟踪系统进行验证。实验结果表明,该伺服跟踪系统软件设计方法好,有工程推广应用价值。     

基于FPGA的三轴伺服控制器设计与实现

针对某机载三轴运动平台的高精度伺服控制要求,设计了基于FPGA的伺服控制器。重点对硬件中的控制模块、驱动模块、通信模块和软件中的中断、复位、A／D转换等子程序进行了设计与实现。尤其是在驱动模块设计中,详细探讨了力矩电机的反馈环节参数给定模式。通过后续的仿真测试,验证了该三轴伺服控制器的有效性。     

某型运动控制平台三环控制系统设计与仿真

为了提高舰载某型运动控制平台伺服控制系统的运行效率和响应能力,以计算机建模和虚拟样机技术为基础,应用ADAMS和Matlab/Simulink协同仿真技术,建立了三环永磁同步电机矢量控制模型,并设计了一种同步电机驱动下的三环伺服控制器。仿真结果表明,该三环伺服控制器能够有效提高系统的动态响应性能和跟随定位能力,并且满足工程控制的相应稳定性要求。     

机器人双惯量柔性伺服系统控制器研发分析

对于柔性机器人而言,为了提高柔性机器人系统的灵活性,就要把机器人的柔性关节也就是柔性传感器作为连接传动装置。但是这些柔性关节就会使得整个控制系统成为双惯量系统,且机器人双惯量柔性伺服系统是一类非线性、高度强耦合、无穷维自由度的复杂动力学系统,针对于该系统研发与之相对应的控制器具有很高的挑战性。本文从研发机器人双惯量柔性伺服系统控制器的角度出发,分析了市场上现有的发展趋势,并对机器人双惯量柔性伺服系统控制器的研发提出了一些开发思路,以扩大国产化伺服控制器的占有率。     

伺服环路控制器的数字化设计

为解决模拟电路在伺服控制系统中存在的器件漂移、抗干扰能力差、变量不易监视等诸多不足,对某船载卫通站伺服环路模拟控制器进行了分析,提出计算机控制代替模拟控制的方法。首先通过电路分析得出模拟控制器的传递函数,再采用零阶保持器法对模拟控制器传递函数进行数字化,并给出了便于编程的控制算法,得到了相应的数字控制器传递函数。经过M...     

H∞技术在高速液压控制系统中的应用研究

采用高性能的TMS320LF2407DSP芯片为主处理器,针对非线性特性的液压伺服系统,利用H∞控制技术设计了一种高性能液压控制器,开发出一套新的液压伺服控制系统。同时利用H∞控制器在参数摄动的条件下具有更快的响应和更小的超调,提高了系统的稳定性和快速性,并为DSP在自控领域的实时控制提供了参考依据,得出H∞控制器具有很强鲁棒性的结论。     

微型机器人无线群组化控制器设计与实现

针对微型机器人群组控制对无线传输及多路舵机控制的需求,提出了一种基于STC12C5A60S2及CC2530实现对16路舵机无线群组控制的控制器设计方案,利用轮询机制和脉宽递增方法对多路舵机转角和转速独立控制,并基于Z-STACK协议栈实现自组网、无线传输和远程ISP下载。经实验测试,实现了对含多路舵机的多个微型机器人的无线群组控制。     

Microprocessor-Controlled DC Motor for Load-Insensitive Position Servo System

The conventional proportional P controller has been often used as the position controller of the dc servo motor. When the unknown and inaccessible load torque, such as the coulomb friction, the gravity, and so on, is imposed on the dc servo motor, this control system has the steady-and/or transient-state error.     

Fuzzy optimization techniques applied to the design of a digital PMSM servo drive

This paper presents a novel design approach by applying gradient optimization with fuzzy step-sizing techniques to the design of a digital permanent magnet synchronous motor (PMSM) servo drive. The servo specifications and design variables are specified and analyzed to formulate a controller optimization problem. The servo responses are then fed back to evaluate the overall system performances, which can be expressed as objective functions with respect to the servo control parameters. According to the objective functions and design specifications, the servo control parameters can be properly tuned toward their optimal values by using the proposed optimization techniques. In order to improve the convergent rate of the optimization process, a fuzzy-logic based step-size tuning strategy is presented. Because of the nonlinear property of the digital servo drives, the tuned servo control parameters may be only optimal for a particular operating point, therefore, once the optimum design is achieved, the proposed fuzzy optimizing controller can perform as an intelligent tuner for on-line gain adaptation under different loading conditions. The proposed fuzzy optimization servo tuner has been realized under a PC-MATLAB-based environment with an on-line controlled digital PMSM servo drive. Simulation and experimental results indicate that the control parameters of a digital PMSM servo drive can be optimized for its dynamic responses under various load conditions.     

基于某PWM控制器的雷达伺服直流控制系统设计

设计一个脉宽调制（Pulsewidthmodulates,PWM）控制器的雷达伺服直流控制系统,对整个控制系统的方案背景及模型的建立进行了分析、介绍。该设计对PWM控制器中的脉宽调制电路、隔离驱动电路、功率驱动电路、保护电路等各主要电路分别进行原理或功能上的描述,同时对雷达伺服直流控制系统总体设计及其中的电磁兼容性问题也进行详细的讨论。实验表明,该设计具有较好的动、静态性能,可广泛用于各型雷达伺服直流控制系统中。     

A hybrid computed torque controller using fuzzy neural network formotor-quick-return servo mechanism

The dynamic response of a hybrid computed torque controlled quick-return mechanism, which is driven by a permanent magnet (PM) synchronous servo motor, is described in this paper. The crank and disk of the quick-return mechanism are assumed to be rigid. First, Hamilton's principle and Lagrange multiplier method are applied to formulate the mathematical model of motion. Then, based on the principle of computed torque control, a position controller is designed to control the position of a slider of the motor-quick-return servo mechanism. In addition, to relax the requirement of the lumped uncertainty in the design of a computed torque controller, a fuzzy neural network (FNN) uncertainty observer is utilized to adapt the lumped uncertainty online. Moreover, a hybrid control system, which combines the computed torque controller, the FNN uncertainty observer, and a compensated controller, is developed based on Lyapunov stability to control the motor-quick-return servo mechanism. The computed torque controller with FNN uncertainty observer is the main tracking controller, and the compensated controller is designed to compensate the minimum approximation error of the uncertainty observer instead of increasing the rule numbers of the FNN. Finally, simulated and experimental results due to periodic step and sinusoidal commands show that the dynamic behaviors of the proposed hybrid computed torque control system are robust with regard to parametric variations and external disturbances     

Sliding-mode control of a nonlinear-input system: application to amagnetically levitated fast-tool servo

Magnetic servo levitation (MSL) is currently being investigated as an alternative to drive fast-tool servo systems that could overcome the range limitations inherent to piezoelectric driven devices while operating over a wide bandwidth. To control such systems, a feedback-linearized controller coupled with a Kalman filter has been previously described. Performance limitations that degrade tracking accuracy suggest the use of a more robust controller design approach, such as sliding-mode control. Current literature on sliding mode deals almost exclusively with systems that are affine on the input, while the magnetic fast-tool servo is nonlinear on it when the control action is current command. This paper discusses a sliding mode-based controller that overcomes the aforementioned problem by defining a modified sliding condition to calculate control action. Experimental results demonstrate the feasibility of achieving long-range fast tracking with magnetically levitated devices by using sliding-mode control     

基于STM32的无刷直流电机控制器硬件电路设计及实验研究

以STM32F103C8T6为核心,设计了无刷直流电机控制器硬件电路。电路主要包括IR2310构成的PWM驱动电路、IRF3808构成的逆变电路、增量式旋转编码构成的速度反馈电路。控制器具有CAN和RS232通信接口,可与计算机或PLC构成速度或位置伺服系统。利用由xPC目标搭建的半实物仿真平台对PI参数进行整定。测试了控制器的速度伺服响应性能,给定速度为2400rpm时,控制器响应时间为0.32s。实验结果表明,系统工作可靠,稳定性好,响应速度快,可以满足上肢康复机器人要求。