PID tuningparticle swarm optimizationrobustnessThe traditional fractional-order particle swarm optimization (FOPSO) algorithm depends on the fractional order [Formula: see text], and it is easy to fall into local optimum. To overcome these disadvantages, a novel perspective with PID gains tuning ...
而MPSO控制器对于干扰的反应速度较于BP-PID控制器和PSO-BP-PID控制器快,且调整幅度小,过渡时间短,这将有利于MPSO-BP-PID控制器在复杂坏境情况下对于被控制对象的实时控制。 导致上述控制效果的主要原因:BP-PID控制器以传统的误差反向传播的BP算法为学习算法,然而BP算法的全局搜索能力弱且易陷入局部最优值与伪最...
在线PSO-PID算法[1,7]就是在每个采样时间内对PID参数进行整定,比如说在某个采样时间,选取足够多的粒子,计算得到每个个体的适应值,根据适应值的大小决定粒子位置和速度更新的大小和方向,经过一定次数的迭代,得到该采样时间内的最佳PID参数,进入下一个采样时间再用同样的方法搜索该采样时间内的最佳PID参数。 首先构造...
改进的pso算法及其在pid控制器参数整定中的应用 application of improved pso for parameter tuning of pid controller.pdf,第24卷第2期 电子测量与仪器学报 Ⅵ,j.24Ⅳa2 2010年2月 JoURNALOFELECTRONlCMEAsUREMENTANDlNS”l’RUMENT ·141· DOI:lO.3724,SPJ.1187.
大的比重.PID控制器的参数选取及优化对控制效 果起到了至关重要的作用,目前常用的PID参数优 化算法应用有ZieglerNichols法、菌群算法、遗传算 法和鱼群算法等[3_引. 粒子群算法(ParticleSwarmOptimization,简 称PSO)规则简单,收敛速度快,可避免陷入局部最 ...
Tags Add Tags control controller tuning electric drive electric_motor_co... fitness function ise itse motion control optimal control particle swarm op... performance index pi pid position control power_conversion_... power_electronics... pso speed control ...
针对以上问题，设计了一种基于PSO和BP神经网络优化的PID控制模型［1112］，用于水肥控制系统，目的在于通过作物种植环境参数，生成水肥模型控制策略，实现管路中水肥浓度的精准控制，以解决水肥混合不均等问题，同时达到节水省肥，减少资源的浪费的目的。1水肥控制系统设计 水肥系统主要由数据采集模块、水肥控制模块、主控制...
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(PID) controller and a fuzzy logic controller (FLC), were developed and implemented for the dynamic modeling of the system, while particle swarm optimization (PSO) was developed and applied as a tuning method for both the PID and FLC; in order to optimize the controller parameter constants\(...
The aim of this research is to design a PID Controller using PSO algorithm. The model of a DC motor is used as a plant in this paper. The conventional gain tuning of PID controller (such as Ziegler-Nichols (ZN) method) usually produces a big overshoot, and therefore modern heuristics app...