模糊神经网络PID控制器在VEHSLS中的应用

该文设计了模糊BP神经网络PID控制器,用于提高VEHSLS控制精度和响应速度。该控制器把模糊逻辑、BP神经网络和PID控制的优点相结合,充分利用了模糊逻辑的抽象能力、神经网络的自学习功能和HD控制算法简单的特点,使系统可以通过模糊神经网络在线调整PID控制器的参数,进而提高了VEHSLS控制精度和系统的稳定性。     

模糊逻辑控制技术

以模糊逻辑为基础的模糊控制技术能解决传统控制难以实现的许多问题。模糊控制技术与PID控制器、PLC控制器相结合,为传统控制方法采用人类长期控制实践所积累的知识开辟了崭新的途径。模糊技术将对90年代的控制策略产生重大影响。     

模糊逻辑控制的改进与仿真

针对传统的模糊逻辑控制在控制过程中出现的系统静差较大、跟踪性能不理想等缺陷,在原有控制系统的基础上增加了有效的控制环节,并利用MATLAB/Simulink进行了系统仿真,仿真结果表明改进后的模糊逻辑控制完全消除了系统静差,并使系统有较强的鲁棒性和良好的跟踪性能。     

汽车电子节气门模糊控制器设计

针对汽车电子节气门控制的非线性特点,基于模糊控制理论设计了汽车电子节气门模糊控制器,详细阐述了模糊控制算法设计、硬件电路和软件设计.试验结果表明,设计的电子节气门模糊控制系统具有较好的跟随电子加速踏板动作特性,能够满足实际汽车电子节气门控制的要求.     

基于模糊自调整PID的轧机液压位置控制

轧机液压自动位置控制系统(APC)是提高带材轧制厚度精度很重要的环节。传统的APC系统是在原来建立好的简化数学模型基础上采用常规PID来控制,对于具有参数摄动和非线性等特性的系统,常规PID很难得到令人满意的结果。现将模糊逻辑控制和PID控制结合,构成模糊自适应PID应用于APC系统。仿真结果表明,该控制方法比传统的PID控制有更好的控制效果。     

模糊PID控制器的仿真研究

为了克服PID数字控制器不能在线进行参数自调整的缺点,将模糊控制器和PID控制器结合在一起,利用模糊逻辑控制,实现了PID控制参数在线自调整,完善了常规的PID控制器,提高了其控制精度;同时利用MATLAB中的SIMULINK和FUZZY工具箱进行了仿真研究,最后将常规的PID控制与模糊PID控制做比较,这样可以看出在控制同一个系统时模糊PID控制器的优越性。     

基于PLC的镀膜机智能张力控制系统

模糊逻辑理论在控制系统中的应用已被证实要比传统的控制系统具有优势.在某些无法构建数学模型的不确定情况下,模糊逻辑控制器能推断结果.可编程逻辑控制器(PLC)已广泛地应用于工业生产过程的控制.介绍一种基于PLC的镀膜机智能张力控制系统.模糊逻辑运算由PLC基本指令实现.     

风力发电机偏航系统模糊控制的研究

本文简要介绍了风力发电机的偏航系统,针对其控制系统,提出了把模糊逻辑控制应用于偏航系统,并设计了模糊控制器。     

一类简单的自学习专家控制器研究

本文从模糊专家控制思想出发,提出了根据理想动态响应方程及专家启发多逻辑自动调整驻系数的自学习专家控制器,实验证明该控制器有效。文章还利用锥稳定性定理为闭环自学习专家控制系统建立了鲁棒稳定性分析结论。     

基于DSP的电动汽车再生制动模糊PI控制系统研究

针对TI公司生产的TMS320LF2407型DSP,应用脉宽调制PWM控制技术,设计了电动汽车再生制动模糊PI控制器。首先对电动汽车控制系统主电路进行了设计,并以TMS320LF2407A型DSP为核心,进行了DSP的外围电路和功率管驱动电路设计,在硬件电路的基础上,进行DSP内部的软件编程,使各模块的功能得以实现,完成从信号采集到向功率器件输出PWM信号的全部任务。最后,在设计的再生制动控制器上进行了模糊PI算法控制效果检测,结果表明模糊PI控制在抗干扰能力方面优于PI控制,证明了所设计控制器的正确性和合理性。由于软硬件采用了模块化设计,通用性好、灵活性强,可作为开发平台,应用于多种电机控制器的研制。     

基于DSP的数字电力有源滤波器设计与仿真

近年来配电网中整流器、变频调速装置、电弧炉等负荷不断增加,这些负荷的非线性、冲击性及不平衡的用电特性是电力系统的电压、电流波形发生畸变,甚至引起电压波动、闪变和三相不平衡,对供电质量造成了严重的影响,因此消除电网中的谐波污染已经成为电能质量研究中的一个重要课题。有源滤波器（APF）的控制器是APF的关键部分,决定了APF的性能指标和补偿效果。控制器分别实现了谐波指令电流提取,谐波指令电流输出控制。文中将通过系统仿真验证控制器设计的可行性。     

Erratum to “PI and fuzzy logic controllers for shunt active power filter—A report” [Isa Transactions 51, 163–169]

The authors acknowledge certain errors in their recently published paper titled “PI and fuzzy logic controllers for shunt active power filter—A report. The ambiguity in bandwidth calculation of adaptive hysteresis controller and control aspects of dc-link voltage issues are addressed. The shunt APF system is validated through extensive simulation and the results are support features of the proposed technique.     

改进重复控制方法在并联型有源电力滤波器中的应用研究

有源电力滤波器的电流控制器设计直接影响电流谐波的补偿效果,采用比例积分PI控制跟踪交流信号时存在静差,而基于内模原理的重复控制在特定频率处有无穷大的增益,能够实现电流无静差跟踪,但系统动态响应速度慢。因此,该文提出将PI前馈控制与重复控制相结合的改进重复控制方法。该方法能够对电流进行无静差跟踪,且对系统谐波具有较好的抑制效果。通过Matlab/Simulink仿真软件和APF装置验证了系统对电流谐波具有较高的补偿精度且系统的动态性能较好。     

有源电力滤波器重复控制的实验研究

为解决有源电力滤波器（APF）采用传统比例控制算法时补偿精度不够高的问题,将比例控制与重复控制相结合的方法应用到有源电力滤波器电流跟踪控制环路中。开展了重复控制环路的参数设计,分析了重复控制环路的稳态精度及动态响应速度,并在15kVA三相四线制并联型有源电力滤波器装置上进行了实验验证;在满足系统稳定的前提下,分别选取不同的重复控制环路参数实验,指出了最适合该装置工程应用的最优参数。实验结果证明,采用比例控制与重复控制组合的方法能够在保障系统动态性能的同时有效地消除稳态误差。     

一种改进的有源电力滤波器的应用研究

介绍了有源电力滤波器APF的基本工作原理、谐波和无功电流检测方法以及电路中补偿电流控制方法。在此基础上提出了一种改进设计,并通过MATLAB/Simulink对并联电压型APF进行仿真研究。结果表明,三角波比较控制的APF能对谐波电流和无功进行较好的补偿。     

A partial feedback linearization based control design and simulation for three phase shunt active power filter

This paper exploited partial feedback linearization technique to control design of a three phase shunt active power filter (APF) by considering it as a Multiple Input Multiple Output (MIMO) system. The averaged dynamic model of the three phase APF has been derived considering the single phase equivalent circuit of the system. This averaged dynamic model is used to partially feedback linearize the MIMO nonlinear system dynamics. New control input to the linearized system is obtained considering the stability of the complete APF system. After that, control input to APF is derived by nonlinear transformation. Stability of the internal dynamics of the system is analyzed considering zero dynamics of the system. MATLAB/Simulink based simulation results are provided to validate the performance of the controller.     

基于能量平衡思想的直流侧APF的分析与设计

直流侧APF电容电压反映了输出有功功率的变化,根据能量守恒原理提出了一种基于能量平衡的直流侧有源电力滤波器控制方法,省去了补偿电流参考指令的复杂计算,比传统的桥式逆变器组成的APF控制方法简单,节省功率开关器件.阐述了该方法的原理,分析设计了APF控制系统电流环、电压环控制器,并用MATLAB对该方法进行了动态仿真研究,进一步验证了谐波控制方法的正确性和有效性.     

Fuzzy sliding mode observer with dual SOGI-FLL in sensorless control of PMSM drives

To improve the performance of permanent-magnet synchronous motor (PMSM) drives, a sensorless control scheme based on a sliding mode observer (SMO) with a fuzzy logic controller (FLC) and a dual second-order generalized integrator-frequency locked loop (DSOGI-FLL) is proposed in this paper. The major drawbacks of the conventional SMO, namely chattering phenomena, high-order harmonics and external noise, are discussed. These drawbacks affect the estimated accuracy of the SMO and reduce the control reliability of the system. To eliminate these drawbacks, an FLC is designed and integrated into the SMO to adjust the observer gain in a self-adaptive manner and to reduce the chattering; an existing dual synchronous frequency extract filter-phase locked loop (DSFF-PLL) is used to filter out the main components of high-order harmonics and to calculate the rotor position and speed precisely. Furthermore, to obtain an accurate fundamental frequency for the phase locked loop (PLL) and filter out the remaining harmonics and external noise signals, DSOGI-FLL processing is developed and incorporated into the DSFF-PLL. An overall PMSM sensorless control system based on the proposed SMO is designed, and an experimental platform using the TMS320F28335 DSP controller is built. Comparative experiments using the proposed SMO and the conventional SMO are performed to validate the effectiveness of the proposed FLC and the DSFF-DSOGI-FLL-PLL structures. Performance experiments of the overall proposed SMO-based sensorless control scheme are performed to verify the robustness and control reliability of the system. The results show that the proposed SMO has satisfactory performances and can be used in practical engineering.     

Active fault tolerant control based on interval type-2 fuzzy sliding mode controller and non linear adaptive observer for 3-DOF laboratory helicopter

In this paper, a robust controller for a three degree of freedom (3 DOF) helicopter control is proposed in presence of actuator and sensor faults. For this purpose, Interval type-2 fuzzy logic control approach (IT2FLC) and sliding mode control (SMC) technique are used to design a controller, named active fault tolerant interval type-2 Fuzzy Sliding mode controller (AFTIT2FSMC) based on non-linear adaptive observer to estimate and detect the system faults for each subsystem of the 3-DOF helicopter.The proposed control scheme allows avoiding difficult modeling, attenuating the chattering effect of the SMC, reducing the rules number of the fuzzy controller.Exponential stability of the closed loop is guaranteed by using the Lyapunov method. The simulation results show that the AFTIT2FSMC can greatly alleviate the chattering effect, providing good tracking performance, even in presence of actuator and sensor faults.     

Robust MPC-based current controller against grid impedance variations for single-phase grid-connected inverters

Recently, LCL filters have been widely used in the output of single phase inverters. Since, the grid side inductor in these filters is in series with the grid impedance at the Point of Common Coupling (PCC), it may create new resonances. This phenomena may take the control loop toward instability. In this case, in order to have a reliable operation, the current controller should be insensitive to the grid impedance variation. In order to damp these resonances, researchers have presented some methods using active or passive damping. These methods added an extra loop to the control loop, an extra passive component in the filter or extra sensor in the control process. But in most of them, the complexity and the cost of controller have been increased. Therefore, presenting a simple control method without extra sensor, passive component or extra arrangement can be a promising approach. This paper presents an MPC-based current controller, which is simple and robust against the grid impedance variation and even the variation of the LCL filter parameters. In contrast to classical multi-loop controller like Proportional-Resonant (PR) controllers, the proposed control method does not need any parameter tuning. In the proposed controller, the switching plan and duty cycles are determined by a cost function and a switching table. Therefore, at the same time with any variation in grid impedance, the proposed controller changes the next switching state and duty cycle. Operating performance like look-up table, searching in all possible switching states to find the best state for the next switching period, makes the controller adaptive and robust against the variation of LCL filter parameters. In order to confirm the effectiveness of the proposed controller, simulations and experimental results of the proposed controller are compared with a classical PR controller.