Design of active disturbance rejection internal model control strategy for SISO system with time delay process

A novel control scheme of active disturbance rejection internal model control(ADRIMC) is proposed to improve the anti-interference ability and robustness for the dead-time process. The active anti-interference concept is introduced into the internal model control(IMC) by analyzing the relationship between IMC and disturbance observer control(DOB). Further, a design process of disturbance filter is presented to realize the active anti-interference ability for ADRIMC scheme. The disturbance filter is used to estimate an equivalent disturbance consisting of both external disturbances and internal disturbances caused by model mismatches.Simulation results demonstrate that the proposed method possesses a good disturbance rejection performance, though losing some partial dynamic performance. In other words, the proposed method shows a tradeoff between the dynamic performance and the system robust.

SVM Approximate-based Internal Model Control Strategy

一台支持向量机器(SVM ) 近似底的内部模型控制(IMC ) 策略为同步发电机的蒸气 valving 控制被介绍。建议 SVM IMC 策略包括二主要部分：在内部模型结构的 SVM 近似反的控制器和无常赔偿。SVM 反的控制器经由泰勒扩大用一条输入产量近似途径直接被导出，并且没有进一步的联机训练，它通过非线性的系统鉴定被实现。而且，一个坚韧性过滤器在内部模型结构被用于无常赔偿。模拟为蒸气 valving 控制显示出 SVM IMC 策略的有效性。

The IMC Structure of Multi-rate Multivariable Predictive Control Systems and An Improved Algorithm

Multirate multivariable predictive control system with the sampling mechanism that adjusts the plant inputs only once but detects the plant outputs several times during a period is examined. The IMC structure of the system is derived, and its robust stability and zero steady state error characteristics are analyzed. A new control algorithm is developed by adding the variation of the outputs to the index performance. The simulation results show that the method is effective and has zeros steady-state error.

Improvement of precision for pendulous integrating gyro accelerometer via adaptive internal model control

An adaptive internal mode control is proposed to eliminate effectively periodic disturbance with uncertain frequency caused by input error angle of PIGA （Pendulous Integrating Gyro Accelerometer）. An adaptive algorithm with periodic disturbance frequency identification on line is applied and the internal model controller parameters are adjusted to eliminate disturbance. Then the convergence of this algorithm and the stability of the system are proved by the averaging method. Simulation results verify the proposed scheme can eliminate periodic disturbance and improve the test precision for PIGA effectively.

Temperature Control Based on Fuzzy Logic Two-degree-of-freedom Smith Internal Model

According to the characteristics of the large time delay,nonlinearity and the great inertia of temperature control system in biomass pyrolysis reactor,a two-degree-of-freedom Smith internal model controller based on fuzzy control is proposed.Firstly,the mathematical model of the temperature control system is established by using the step response method,and then the two-degree-of-freedom Smith internal model controller is designed,and the good tracking performance and disturbance suppression performance can be obtained by designing the set value tracking controller and interference rejection capability.Secondly,the fuzzy control algorithm is used to realize the on-line tuning of the control parameters of the two-degree-of-freedom Smith internal model algorithm.The simulation results show that,compared with the traditional internal model control,fuzzy internal model PID control and two-degree-of-freedom Smith internal model control,the algorithm proposed in this paper improves the influence of lag time on the control system,realizes the separation control of set point tracking and anti-jamming performance and the self-tuning of control parameters,and improves the control performance of the system.

Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network

This work concerns the study of problems relating to the adaptive internal model control of DC motor in both cases conventional and neural. The most important aspects of design building blocks of adaptive internal model control are the choice of architectures, learning algorithms, and examples of learning. The choice of parametric adaptation algorithm for updating elements of the conventional adaptive internal model control shows limitations. To overcome these limitations, we chose the architectures of neural networks deduced from the conventional models and the Levenberg-marquardt during the adjustment of system parameters of the adaptive neural internal model control. The results of this latest control showed compensation for disturbance, good trajectory tracking performance and system stability.

Electrostatic Suspension System Nonlinear Character Analysis and Its Internal Model Control

Nonlinearity is an important characteristic in electrostatic suspension system (ESS). This paper concludes the nonlinear parts in ESS, which generally result from the relationships between rotor displacement and capacitance, rotor displacement and electrostatic force, and control voltage and electrostatic force. In terms of the nonlinearities, a new control method with modified internal model control (IMC) was proposed to analyze the ESS, deduce the transfer function of the modified IMC controller in ESS, and simulate this new application in ESS. Comparing with proportional integral derivative (PID) control, IMC has only a parameter, and has better performance. As a result, IMC solves nonlinearity error well in ESS with only one uncertain parameter, and performs well when the rotor has large displacement.

Dynamic modelling and robust current control of wind-turbine driven DFIG during external AC voltage dip

Doubly-Fed Induction Generator (DFIG), with vector control applied, is widely used in Variable-Speed Constant- Frequency (VSCF) wind energy generation system and shows good performance in maximum wind energy capture. But in two traditional vector control schemes, the equivalent stator magnetizing current is considered invariant in order to simplify the rotor current inner-loop controller. The two schemes can perform very well when the grid is in normal condition. However, when grid disturbance such as grid voltage dip or swell fault occurs, the control performance worsens, the rotor over current occurs and the Fault Ride-Through (FRT) capability of the DFIG wind energy generation system gets seriously deteriorated. An accurate DFIG model was used to deeply investigate the deficiency of the traditional vector control. The improved control schemes of two typical traditional vector control schemes used in DFIG were proposed, and simulation study of the proposed and traditional control schemes, with robust rotor current control using Internal Model Control (IMC) method, was carried out. The validity of the pro- posed modified schemes to control the rotor current and to improve the FRT capability of the DFIG wind energy generation system was proved by the comparison study.

Comparison of Different Control Algorithms for a Gantry Crane System

For a gantry crane system, this paper presents a comparison between four control algorithms. These algo-rithms are being compared on simplicity, stability and robustness. Goal for the controller is to move the load on a gantry crane to a new position with minimal overshoot of the load and maximal speed of the load. An-other goal is to provide an insight in the behaviour of the possible controllers. In this article a parallel P-controller, cascade P-controller, fuzzy controller and an internal model controller are used. To be able to validate and design the controllers a model is derived from the gantry crane. The controllers and the model are being implemented in Matlab Simulink. Finally the controllers are validated and tuned in Labview on a laboratory gantry scrane scale model. Main conclusion is that all presented controllers can be used as a con-troller for the gantry crane system but the fuzzy controller is showing the best performance.

基于多模型IMC-PID的三水箱液位控制算法研究

为解决传统控制算法在对三水箱液位控制时,存在控制时间长,控制效率低的问题,基于多模型IMC-PID设计一种三水箱液位控制算法。通过基于多模型的三水箱模型结构设计、三水箱数据模型参数辨识、IMC-PID控制器设计及参数整定,设计一种全新的控制算法。通过与传统控制算法的应用结果对比得出,新的算法控制时间更短,控制效率更高。

IMC-PID在水厂出水浊度控制中的仿真研究

城市供水出水浊度过程是一个大惯性、大时滞、非线性、时变以及随机干扰多的难控对象,采用常规PID控制很难取得理想的控制效果。IMC-PID控制器的参数都以唯一和直接的方式与模型参数相关,并且只有一个在线可调整的参数——低通滤波器时间常数,其大小决定了系统的性能指标和鲁棒性。仿真研究表明,对于常用的一阶惯性加时滞工业对象模型,采用IMC-PID控制器可以取得良好的控制效果,当实际过程与模型不匹配时通过调整滤波器时间常数仍然可以达到比较好的控制效果。

气动位置伺服系统的NN-IMC控制研究

提出了一种用于气动伺服系统的内模控制与神经网络相结合的智能控制方法 ,即NN -IMC控制法。该方法在提高控制性能方面有许多优点 ,能减少扰动的影响 ,鲁棒性较强 ,易于进行稳定性分析 ,只有一个调整参数 ,所以在工业应用中具有明显优势。当对象含有非线性环节的时候 ,可用神经网络来获得适当的控制参数。将所提出的NN -IMC智能控制法应用于含有强非线性气动伺服系统中 ,通过实验验证了它的效果。

永磁无刷直流电机调速系统的改进型IMC-PI控制

针对永磁无刷直流电机调速系统提出了一种改进的内模PI(Internal model control PI,IMC-PI)控制方法。根据内模控制原理设计出PI控制器,引入一种作用函数,将其与PI控制器串联构成改进的IMC-PI控制器。作用函数为偏差的微分表达式,其阶次的选择应保证系统开环传递函数严格真实。改进IMC-PI控制可使系统的调节过程分为作用函数趋近零和保持为零的两个阶段,从而保证系统偏差按照作用函数等于零确定的轨迹趋近于零。仿真和实验结果表明方法可有效提高控制系统的性能。

基于内模控制理论的HVDC IMC-PID控制器设计

分析了内模控制(IMC)理论的优越性,推导了HVDC控制系统的传递函数,在IMC理论基础上设计了直流控制系统IMC-PID控制器。控制系统的性能指标采用平方积分误差值(ISE)衡量,鲁棒稳定性指标采用M值进行评定,在综合考虑两者的基础上进行IMC-PID控制器参数的整定。在MATLAB中搭建标准模型进行数字仿真,结果显示在系统参数发生一定变化时系统仍能够保持稳定,具有较好的动态性能,由此证明了所提设计方法的可行性和有效性。

基于LMI和IMC的动态反馈抗饱和补偿设计

提出了一种基于线性矩阵不等式(LMI)和内模控制(IMC)的动态反馈抗饱和补偿器的设计方法,为此首先简要地介绍了基于统一框架的抗饱和补偿器设计方法,然后针对原框架计算量庞大的问题,利用模型精确的IMC结构中对象和控制器同时稳定就能保证系统闭环稳定的特性对框架进行改造,并进一步选取了具有(?)2范数形式的性能优化指标,通过整定控制器的方法来优化闭环系统的工作性能,给出了LMI形式的结果．最后给出了运用此方法设计补偿器的一个仿真实例．

直流位置伺服系统改进型IMC-PI控制方法

针对直流位置伺服系统,提出了一种改进型IMC-PI控制方法。引入作用函数,并将其与IMC-PI控制器串联,构成改进型PI控制器,其中IMC-PI控制器根据内模控制原理进行设计,作用函数为系统偏差的微分表达式,其阶次的选择应保证系统开环传递函数为严格正则。改进IMC-PI控制可使系统的调节过程分为作用函数趋近零和保持为零的两个阶段,从而保证系统偏差按照作用函数等于零确定的轨迹趋近于零。仿真结果表明所提方法可使系统具有良好的动态响应性能和鲁棒性。另外,利用Qstudio RP实验平台跟随跟随1+sin(10t)rad正弦信号时,IAE为0.14 rad·s,实验结果表明该方法可有效改善伺服系统的性能。

IMC-PID在开口闪点仪线性升温控制系统中的应用

开口闪点仪对温度控制精度要求较高,采用常规PID控制难以达到国标中规定的线性度。运用最小二乘法的一阶惯性加滞后模型直接辨识法,辨识出温度控制系统的传递函数模型;然后,结合内模控制原理,设计了仅需调整一个参数的IMC-PID控制器。在模型匹配和失配两种情况下,与Ziegler-Nichols法和Cohen-Coon法整定的PID控制器仿真对比,通过调整滤波器时间常数仍能获得较好的线性度。并将该算法应用到开口闪点仪温控系统中,仿真和实际应用均表明,IMC-PID具有较强的鲁棒性和较好的动态特性。

IMC-PID在大惯性大滞后系统中的应用及仿真

针对PID对大滞后大惯性系统的控制效果不佳、参数整定复杂等方面的不足,将内模控制与PID控制相结合,并在MATLAB环境下进行仿真.以算例证明内模控制与PID控制串级结合,比单纯的PID控制具有更良好的鲁棒性和抗干扰性,不但调节速度更快,参数整定方法更简单,而且还不依赖于对象模型的参数,非常适用于工业过程控制.

IMC-PID控制器在轧机液压自动位置控制系统中的应用

提出一种能使系统取得较好性能鲁棒性的内模PID滤波器参数选取方法。由于内模PID中滤波器参数对闭环系统的动态性能影响明显且由Monte-Carlo实验结果可直观看出并评价闭环系统动态性能的优劣,因此通过Monte-Carlo实验来选取滤波器参数可保证系统的性能鲁棒性。将所提出的参数选取方法应用到轧机液压自动位置控制系统中,结果表明:通过该方法选取的滤波器参数可使系统的动态响应具有较小超调和较好的性能鲁棒性,达到理想的控制效果。

基于稳定裕度的新型IMC-PID整定方法

提出了一种针对稳定过程的内模proportion integration differentiation(IMC-PID)控制器整定方法。通过在频域内保证系统达到期望的相位裕度和幅值裕度,将内模控制器转化成PID控制器。转化过程中选用欧拉公式替代内模控制器分母中的非线性部分,并应用拟合方法得到了内模控制系统中滤波器参数与稳定裕度之间的解析关系。在整个转化过程中没有应用任何近似方法,所以最终得到的PID控制器与经典内模控制器能够取得相同的控制效果。最后通过仿真实例验证了本方法的有效性。