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1.
提出了基于内模与模糊PID混合的多电机同步控制策略。将内模控制器引入速度并联同步控制系统,将其取代常规PI速度跟踪控制器,以其较强的鲁棒性来抑制系统参数摄动及负载扰动等不确定因素造成的不同步现象;同时结合现代智能控制技术,将专家的控制经验及推理过程融入系统当中,设计了模糊PID同步补偿器,从而实现了多电机的高精度同步控制。  相似文献   

2.
针对棉花加工过程中工作负荷不稳定、轧花机经常出现棉卷堵塞的问题,以PLC控制技术为中心,通过编程软件,采用自学习模糊控制器对PID参数进行在线自适应调整,调节控制轧花机中喂料电机的变频器输入电压,使喂料电机速度跟随轧花机负荷的大小而自动变化,实现了智能喂料。系统运行结果表明:轧花机主机的稳速运行不受棉花等级、潮湿程度等因素影响,这样稳定了轧花生产,大大减少了棉卷堵塞现象。  相似文献   

3.
为解决自主水下航行器AUV航迹控制问题,提出了一种基于模糊增益调节的模糊自校正控制方法。该方法完全使用马丹尼型模糊控制器实现,包括1个基本模糊控制器和3个模糊增益调节装置。基本模糊控制器用于实现AUV航迹保持,模糊增益调节装置为基本模糊控制器提供可以实时调整的量化因子。分别对模糊自校正控制方法和基本模糊控制方法进行了对比仿真试验,试验结果显示模糊自校正控制方法相比于基本模糊控制方法,其控制效果更好,特别是对海流扰动具有更强的适应性。  相似文献   

4.
多变量模糊自校正控制器及其应用   总被引:1,自引:0,他引:1  
本文介绍了表达MISO动态系统的模糊模型,并提出了有关参数和结构的在线辨识算法。根据辨识的模糊模型,利用Clarke的单变量广义预测控制(GPC)原理[1]设计了多变量模糊自校正控制器。仿真研究表明,该模糊自校正控制方法应用于火电机组负荷系统的控制,可以收到良好的效果。  相似文献   

5.
针对船舶控制的特点及其对自动驾驶仪的特殊要求,为解决航迹保持问题,提出了一种基于模糊增益的自校正船舶航迹模糊自动驾驶仪,该自动驾驶仪由四个马丹尼型模糊控制器组成,包括一个基本模糊自动驾驶仪和三个可调整量化因子的装置,该调整装置也是一种可以改变基本模糊自动驾驶仪输入输出量化因子的模糊控制器,其功能是为每一个变量提供一个实时调节的比例因子。文中完整地描述了该航迹控制系统,考虑到海流扰动对航迹保持效果的影响,引入模糊增益自校正方法以改善模糊控制技术。分别对自校正模糊自动驾驶仪和基本模糊自动驾驶仪进行对比模拟仿真,仿真结果显示自校正模糊自动驾驶仪相对于基本模糊自动驾驶仪对海流扰动的适应性更强且具有更好的控制效果。  相似文献   

6.
本文提供了一种规则自校正模糊控制器,并将其用于磨削加工系统的控制中,设计了一种在线的模糊推量算法,使得模糊控制规则可以得到实时在线的调整。  相似文献   

7.
智能车参数自校正方向模糊控制器的设计   总被引:1,自引:1,他引:0  
智能车的方向控制是一个既关键又复杂的问题.由于道路的复杂性和小车系统的非线性,采用传统的PID控制器往往不能取得很好的控制效果,为此设计了参数自校正模糊控制器.Matlab仿真试验表明,参数自校正模糊控制器的采用使得智能车舵机的响应速度加快,方向控制更流畅,小车的稳定性和速度也得到了很大的提高.  相似文献   

8.
提出了一种基于FPGA的新型集成式步进电机驱动系统实现方案,该方案采用模糊自组织PID调节方法实现对步进电机驱动系统的闭环控制,提高了系统的自适应能力.利用FPGA上嵌入的微处理器PicoBlaze将步进电机驱动系统的控制器和驱动器集成在一片FPGA芯片上,实现了可编程片上系统设计,极大地提高了控制性能.  相似文献   

9.
对煤矿上普遍采用的带式输送机可控起动系统存在的问题 ,提出了模糊控制技术 ,介绍其控制原理并用可编程序控制器实现模糊控制过程。  相似文献   

10.
程飞  过学迅  何耀华 《控制工程》2007,14(2):164-166
针对常规的PD控制不能很好地兼顾转向的轻便性与路感的关系,以及在响应时间和超调量方面不能达到满意的效果的问题,设计了一种性能更优的控制器.考虑到实际的汽车转向系统中存在很多的非线性,结合实际数据,采用模糊控制技术设计了电磁助力转向系统的模糊自调整PD控制器.仿真结果表明,该模糊自调整PD控制器与常规的PD控制器相比,具有更好的控制效果和鲁棒性.  相似文献   

11.
In this study, we introduce the design methodology of an optimized fuzzy controller with the aid of particle swarm optimization (PSO) for ball and beam system.The ball and beam system is a well-known control engineering experimental setup which consists of servo motor, beam and ball. This system exhibits a number of interesting and challenging properties when being considered from the control perspective. The ball and beam system determines the position of ball through the control of a servo motor. The displacement change of the position of ball leads to the change of the angle of the beam which determines the position angle of a servo motor.The fixed membership function design of type-1 based fuzzy logic controller (FLC) leads to the difficulty of rule-based control design when representing linguistic nature of knowledge. In type-2 FLC as the expanded type of type-1 FL, we can effectively improve the control characteristic by using the footprint of uncertainty (FOU) of the membership functions. Type-2 FLC exhibits some robustness when compared with type-1 FLC.Through computer simulation as well as real-world experiment, we apply optimized type-2 fuzzy cascade controllers based on PSO to ball and beam system. To evaluate performance of each controller, we consider controller characteristic parameters such as maximum overshoot, delay time, rise time, settling time, and a steady-state error. In the sequel, the optimized fuzzy cascade controller is realized and also experimented with through running two detailed comparative studies including type-1/type-2 fuzzy controller and genetic algorithms/particle swarm optimization.  相似文献   

12.
The main aim of this work consists of proposing a new three-step adjusting approach for an improved version of PID-type fuzzy structure in order to determine its design parameters based on a novel hybrid PSO search technique called PSOSCALF, combining Sine Cosine Algorithm (SCA) and Levy Flight (LF) distribution. In addition, conventional and self-tuning controllers are designed to get a better understanding of the performance and robustness of the proposed PID-type FLC approach. At first, the proposed PID-type FLC structure is defined as an optimization problem and then the PSOSCALF algorithm is applied to resolve it systematically. Evaluation of the performance quality of the proposed fuzzy structure is accomplished based on the stabilization and tracking control of a nonlinear Inverted Pendulum (IP) system. To make a complete comparison, the performance of three other optimization techniques namely simple PSO, Differential Evolution (DE) and Cuckoo Search (CS) are examined against the hybrid PSOSCALF algorithm. The simulation results demonstrate that the proposed PSOSCALF-tuned PID-type FLC structure is able to decrease the overshoot and integral square error amounts by about 25% and 10%, respectively compared to the self-tuning controllers. Finally, for more validation, all the controllers are tested under four different disturbance scenarios. Obtained results show that the proposed PID-type FLC can better stabilize the pendulum angle under all the scenarios compared to the PID and self-tuning controllers.  相似文献   

13.
A comparative control study for a maximum power tracking strategy of variable speed wind turbine is provided. The system consists of a direct drive permanent magnet synchronous generator (PMSG) and an uncontrolled rectifier followed by a DC/DC switch‐mode step down converter connected to a DC load. The buck converter is used to catch the maximum power from the wind by generating an efficient duty cycle. Distinct Maximum Power Point Tracking (MPPT) algorithms are analyzed and compared: a classical Proportional‐Integral controller (PI) and two based Fuzzy Logic Controllers (FLC), including a conventional Fuzzy‐PI and an Adaptive FLC‐PI. The main aim of the presented study is to develop an advanced control scheme for wind generators to ensure a high level operating of the system and a maximum power extraction from the wind. This is achieved by analyzing the behavior of the system under fluctuating wind conditions employing Matlab Simpower Systems tool. Simulation results confirm that the Adaptive FLC‐PI controller algorithm has better performances in terms of dynamic response and efficiency especially in comparison with the ones of a PI controller under variable wind speed.  相似文献   

14.
基于模糊控制的双闭环直流调速系统控制器设计研究   总被引:5,自引:0,他引:5  
介绍了基于模糊控制的双闭环直流调速系统控制器的设计方案,并比较分析了传统PI与模糊控制的实例。提供了对传统直流双闭环调速系统的一种改进方案。  相似文献   

15.
为了提高太阳能光伏控制器的性价比,设计了运用STC单片机的太阳能光伏控制器.本控制器具有效率高、可靠性高、运行稳定、性价比高、适宜批量生产的特点.控制器实现了基于单片机STC12LE5402AD的工作状态控制和蓄电池能量管理,满足了太阳能光伏控制器在不同工作状态下的稳定运行与准确切换的要求.蓄电池充放电精确控制也在此控制器中得到实现.实验结果表明,应用此控制器的太阳能光伏系统效率高、运行稳定,蓄电池寿命也可延长.  相似文献   

16.
Design of a PID-like compound fuzzy logic controller   总被引:3,自引:0,他引:3  
The paper describes a novel method for the design of a fuzzy logic controller (FLC) with near-optimal performance for a variety of operating conditions. The approach is based on the analysis of the system behaviour in the error state-space. The final control structure, in a form of a compound FLC, is arrived at in two stages. The first stage encompasses design and tuning of a PID-like fuzzy controller. The second stage consists of placing an additional fuzzy controller, of a structure similar to that of the first one, in parallel with the PID-like fuzzy controller designed in the first stage. The resulting compound controller is characterised with high performance in the wide range of operating conditions, and with small number of parameters that can be adjusted using simple optimisation methods. The controller is developed and tested for a plant comprising a vector controlled induction motor drive.  相似文献   

17.
基于神经网络的新型复合速度控制器的设计   总被引:1,自引:1,他引:1  
刘瑛  程善美 《控制工程》2005,12(2):135-137
针对传统PID控制和神经网络直接逆动态控制各自的特点,提出了将两者相结合构造一种新型复合神经网络速度控制器的方法:基于感应电机间接磁场定向矢量控制系统.对该复合速度控制器进行仿真研究。仿真结果表明,在电机参数变化和负载扰动的情况下,该控制器的应用使感应电机间接磁场定向矢量控制系统具有很好的鲁棒性和抗扰性能:  相似文献   

18.
This paper presents the application of a hybrid controller to the optimization of the movement of a mobile robot. Through hybrid controller processes, the optimal angle and velocity of a robot moving in a work space was determined. More effective movement resulted from these hybrid controller processes. The experimental scenarios involved a five-versus-five soccer game and a MATLAB simulation, where the proposed system dynamically assigned the robot to the target position. The hybrid controller was able to choose a better position according to the circumstances encountered. The hybrid controller that is proposed includes a support vector machine and a fuzzy logic controller. We used the method of generalized predictive control to predict the target position, and the support vector machine to determine the optimal angle and velocity required for the mobile robot to reach the goal. First, we used the generalized predictive control to predict the target position. Then, the support vector machine is used to classify the angle that must be followed by the mobile robot to reach the goal. Next, a fuzzy logic controller is designed to determine the velocity of the left and right wheels of the mobile robot. Thus generated, the velocity was optimized according to the measures obtained by the support vector machine. Finally, based on the optimal velocity of robot, the output membership function was modified. Consequently, the proposed hybrid controller allowed the robot to reach the goal quickly and effectively.  相似文献   

19.
两轮移动机器人(2WMR)本身具有多变量和非线性等特征,从而使其控制变得复杂。当2WMR在倾斜的表面上移动时,控制问题变得更加复杂。针对2WMR的非线性模型,设计2WMR的广义二型模糊逻辑平衡控制器和位置控制器。针对广义二型模糊逻辑控制器(GT2FLC)中前、后件中参数难以设定的问题,通过量子粒子群算法(QPSO)优化隶属函数中的参数。针对GT2FLC和区间二型模糊逻辑控制器(IT2FLC)在不同斜面上对移动2WMR的平衡和位置控制的效果进行进一步的对比分析,并干扰对控制效果的影响。仿真结果表明,GT2FLC具有更好的抗干扰能力。  相似文献   

20.
The fuzzy logic controller (FLC) presented by Siler and Ying (1989) is discussed here and is proved to be equivalent to a non-fuzzy, nonlinear, proportional-integral (PI) controller. Some characteristic properties of this fuzzy logic controller are then investigated. The achievable performance of such a specific fuzzy controller is examined and found to be not necessarily better than that of the conventional, linear, non-fuzzy PI controller. Various extended designs of the basic FLC, including the FLC with dual control laws and the three-piece FLC, are then presented to enhance control performance. These extensions can provide servo-control performance. These extensions can provide servo-control performance superior to that of the basic FLC design, as illustrated by simulation results. Finally a highly nonlinear neutralization process is advanced to demonstrate the applicability of the various FLCs to industrial process control.  相似文献   

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