采用MRAS速度观测器的异步电机无电压传感器DTC研究

为提高系统的抗干扰能力,降低运行成本,提出无电压传感器控制策略,通过逆变器的导通状态和直流侧电压估算三相定子电压,采用模型参考自适应系统（ MRAS）方法设计速度观测器,基于异步电机数学模型得到转子磁链的两种模型,根据合适的自适应机构得到精确的实际转速,实时调节模型参数,该控制方法简单,保持较高的控制精度。最后通过实验验证了控制策略的可行性。     

High performance of brain emotional intelligent controller for DTC-SVM based sensorless induction motor drive

This paper introduces the application of the induction motor (IM) drive brain emotional intelligent controller (BEIC). Intelligent regulation, modelled on the human brain, is capable of generating impulses and is used as a controller. A Model Reference Adaptive System is developed using stator current and stator voltages, which are further developed with BEIC to approximate the rotor rpm. This paper proposes that speed estimation using BEIC for direct torque control (DTC) of IM drive. The experimental work is conducted on a hardware-in-loop mechanism using a real-time digital simulator (Op-RTDS-OP5600). The simulation and test results are discussed. The proposed method is compared to the DTC-SVM-based IM drive speed control with the existing controllers.

     

Feedback controller design for variable voltage variable speed induction motor drive via Ant Colony Optimization

This paper deals with the development of feed back controller design for a voltage controlled induction motor drive employing an enhanced optimization algorithm derived from the principles of foraging of natural ants. A linearized incremental model of a voltage controlled induction motor drive is shown to exhibit parameter variation at different operating points of the drive system. A PI-controller derived at a typical operating point using traditional methods does not give satisfactory performance for a wide bandwidth of load and reference speed changes. The newly developed Ant Colony Optimization technique enforces continuous exploration of the solution space and identifies optimal controller structure. The development of optimization algorithm and its application to feed back controller design for a variable voltage induction motor drive is well documented in this paper. Experimental and simulation results are presented to validate the efficacy of the optimized controller.     

Design of a novel adaptive TSK-fuzzy speed controller for use in direct torque control induction motor drives

This study proposes an adaptive Takagi-Sugeno-Kang-fuzzy (TSK-fuzzy) speed controller (ATFSC) for use in direct torque control (DTC) induction motor (IM) drives to improve their dynamic responses. The proposed controller consists of the TSK-fuzzy controller, which is used to approximate an ideal control law, and a compensated controller, which is constructed to compensate for the difference between the TSK-fuzzy controller and the ideal control law. Parameter variations and external load disturbances were considered during the design phase to ensure the robustness of the proposed scheme. The parameters of the TSK-fuzzy controller were adjusted online based on the adaptive rules derived in Lyapunov stability theory. The ATFSC, fuzzy control, and PI control schemes were experimentally investigated, using the root mean square error (RMSE) performance index to evaluate each scheme. The robustness of the proposed ATFSC was verified using simulations and experiments, which involved varying parameters and external load disturbances. The experimental results indicate that the ATFSC scheme outperformed the other control schemes.     

Hybrid control for speed sensorless induction motor drive

The dynamic response of a hybrid-controlled speed sensorless induction motor (IM) drive is introduced. First, an adaptive observation system, which comprises speed and flux observers, is derived on the basis of model reference adaptive system (MRAS) theory. The speed observation system is implemented using a digital signal processor (DSP) with a high sampling rate to make it possible to achieve good dynamics. Next, based on the principle of computed torque control, a computed torque controller using the estimated speed signal is developed. Moreover, to relax the requirement of the lumped uncertainty in the design of a computed torque controller, a recurrent fuzzy neural network (RFNN) uncertainty observer is utilized to adapt the lumped uncertainty online. Furthermore, based on Lyapunov stability a hybrid control system, which combines the computed torque controller, the RFNN uncertainty observer and a compensated controller, is proposed to control the rotor speed of the sensorless IM drive. The computed torque controller with RFNN 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 rules of the RFNN. Finally, the effectiveness of the proposed observation and control systems is verified by simulated and experimental results     

Implementation of speed controller for rotary hydraulic motor based on LS-SVM

The performance of a model-based control system depends strongly on the accuracy of the process model used. LS-SVM is a powerful method for modeling nonlinear systems. The main objective of this paper is to implement a conventional controller based on LS-SVM model for hydraulic motor. An off-line model is first identified based on LS-SVM, then via simulation tests the parameters of the discrete PI-Controller and its velocity-form are obtained then the controller parameters are applied experimentally for the hydraulic motor as a speed controller. The system performance has been evaluated; results show good performance over a wide range of operating conditions and load disturbances.     

Self-constructing fuzzy neural network speed controller forpermanent-magnet synchronous motor drive

A self-constructing fuzzy neural network (SCFNN) which is suitable for practical implementation is proposed. The structure and the parameter learning phases are performed concurrently and online in the SCFNN. The structure learning is based on the partition of input space and the parameter learning is based on the supervised gradient decent method using a delta adaptation law. Several simulation and experimental results are provided to demonstrate the effectiveness of the proposed SCFNN control stratagem with the implementation of a permanent-magnet synchronous motor speed drive. Moreover, the simulation results of time varying and nonlinear disturbances are given to show the dynamic characteristics of the proposed controller over a broad range of operating conditions     

Ant colony based feedback controller design for soft-starter fed induction motor drive

The objective of this work is to design and implement a closed loop system for induction motor starting at rated current. Thyristorized AC voltage regulator is used as the starting equipment and motor current regulation is carried out using an optimally tuned Proportional-Integral (PI) controller. Since, AC voltage controller fed starting of induction motor is a non-linear process, identification of optimal values of PI controller constants is performed using a novel ant colony based optimization technique. The complete drive system including AC voltage controller fed induction motor in conjunction with optimal PI controller is first simulated in MATLAB and subsequently verified experimentally. The successful implementation with a low cost microcontroller illustrates the feasibility of the new approach.     

感应电机全阶观测器低速稳定运行的仿真

针对基于全阶磁链观测器的感应电机无速度传感器矢量控制系统低速不稳定问题,采用波波夫(Popov)超稳定性理论分析了观测器在低速发电区域不稳定原因,提出了一种保证观测器低速稳定运行的反馈增益设计准则。为了简化该系统稳定性分析过程,基于转子磁通定向,利用劳斯赫尔维茨(Routh-Hurwitz)判据将一个关于系统极点稳定的多维问题转化为系统零点稳定的一维问题进行处理,推导了转速估算系统稳定性条件,并给出了反馈增益设计方法。仿真结果表明,该系统在低速50r/min和极低速10r/min时均能稳定运行,相对于传统的基于极点配置方法,在低速发电区域的收敛性和稳定性更优,改善了无速度传感器矢量控制系统低速区域的动、静态性能。     

一种简易路灯智能控制器设计

设计了一种基于89C51单片机的路灯智能控制器,并对该智能控制器硬件及软件部分进行了说明.在2009年全国电子设计竞赛中,使用该控制器模拟路灯控制,取得了很好的控制效果.     

供热机组智能控制器的设计

本文主要介绍了面向大规模、多热源城乡集中供热网的计算机监测控制系统而开发研制的集中供热机组智能控制器的设计。它是专门针对热力站计量与控制需求研制的智能化控制装置,采用现代控制理论和基于现场总线的全开放分散式智能集中供热控制系统的关键单元技术。实现最优控制,达到集中供热良好的运行品质,降低热力站运行成本。     

基于ITAE最优的直流电机速度控制器设计

提出了一种用于直流电机调速系统的控削器设计方法，该方法主要基于ITAE最优控削理论，并结合PI控削。仿真研究结果表明．所设计的调速系统不仅转速跟踪性能优良，而且具有较强的鲁棒性和抗负载扰动能力。     

基于DSP交流感应电机直接转矩模糊控制系统

介绍了基于DSP的交流感应电机直接转矩模糊控制系统的硬件：结构和软件设计。电压空间矢量的选择方法和故障诊断原理，并对系统的仿真结果和试验结果进行了分析。本系统具有动态相应快。调速精度宽。可靠性高等特点。     

A differential-algebraic approach to speed estimation in an induction motor

This note considers a differential-algebraic approach to estimating the speed of an induction motor from the measured terminal voltages and currents. In particular, it is shown that the induction motor speed /spl omega/ satisfies both a second- and a third-order polynomial equation whose coefficients depend on the stator voltages, stator currents, and their derivatives. It is shown that as long as the stator electrical frequency is nonzero, the speed is uniquely determined by these polynomials. The speed so determined is then used to stabilize a dynamic (Luenberger type) observer to obtain a smoother speed estimate. With full knowledge of the machine parameters and filtering of the sensor noise, simulations indicate that this estimator has the potential to provide low speed (including zero speed) control of an induction motor under full rated load.     

Slip ring induction motor speed control using a thyristor inverter

A closed-loop speed control scheme for a slip ring induction motor is described in this paper. The speed control is achieved through slip power recovery with the aid of static power devices. The design of the controllers is considered. Experimental results are given and compared with the analytical results.     

基于三维云模型的智能控制器研究

首先介绍了云模型的基本概念和规则推理,提出了三维云模型的的概念,分析了三维云模型的规则推理,设计出基于三维云模型智能控制器.最后与常规PID控制系统进行了对比,仿真结果表明了本文设计方法的有效性.     

三相电动执行机构智能控制器的设计

介绍了基于ADuC813单片机和ATT7028A三相电能芯片开发设计的三相电动执行机构智能控制器的系统组成和工作原理;并着重介绍了硬件构成及实现方法,对提高可靠性和稳定性所采用的可靠性设计技术和电磁兼容设计技术;通过软件实现了智能控制器的自诊断和自保护功能。     

智能输液滴速调节系统

研制了一种智能输液滴速调节系统。该系统以AVR单片机为核心,采用红外对射的原理检测茂菲管里是否有液滴滴落,同时采用蠕动泵为滴速调节机构。该系统可以通过按键设置药液滴速并显示实时滴速。另外该系统还能在异常情况和输液完毕时进行声光报警并自动关断。测试结果表明,该系统可靠性高、成本低、安全卫生、操作方便,在传统医疗中具有广泛的市场价值和推广性。     

眼睛理疗仪智能控制器设计

眼睛理疗仪智能控制器主要由主控制中心、人机交互系统（包括形状触摸控制、触屏控制、语音控制）、电机驱动模块、红外理疗模块、电磁理疗模块、音乐模块组成。主控中心通过压力传感器、温度传感器、加速度传感器实时监测各项参数。理疗仪具有多种理疗方式：振动按摩、穴位定点按摩、硅胶体滑动按摩、红外理疗、电磁理疗,以及上述方式的任意组合。通过合理的软件算法,实现控制方式的智能化、人性化,实现理疗效果的最佳化。