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1.
变风量空调系统是一个具有大惯性、大滞后、变参数的复杂系统。通常变风量空调系统传统的PID控制,但常规PID控制的参数难以整定、系统超调量大、动态响应速度慢等问题。本文将基于遗传算法的PID控制应用到变风量空调系统中,经过MATLAB仿真,表明基于遗传算法的PID控制具有响应速度快、无超调量、过渡时间短等特点,可以大大提高系统的控制品质,以达到节能的目的。  相似文献   

2.
VAV空调系统是一个非线性、强耦合的大时滞系统,常规PID控制难以取得良好的控制效果,本文设计了一种将粒子群整定的PID控制算法应用于WLV空调的控制方法.仿真结果表明,新的控制方法与常规控制方法相比,控制效果良好.  相似文献   

3.
PID控制具有结构简单、可靠、稳定等优点,但由于不能有效克服负载,模型参数的大范围变化及其非线性因素的影响而不能满足高性能,高精度场合的要求,模糊控制的最大优点是不依赖于被控对象的精确数学模型,能够克服非线性因素的影响。对调节对象的参数变化具有较强鲁棒性。PID参数模糊自整定运用现代控制理论在线辩识对象特征参数,实时改变其控制策略,使控制系统品质指标保持在最佳范围内。  相似文献   

4.
本文针对变流量空调水系统的惯性大、时间滞后等特点以及传统PID控制方法调节效果不佳等问题,采用自适应调整惯性权重的粒子群(DSAPSO)算法,初步对变流量空调冷冻水系统的回水温度与水泵转速进行优化控制。采用DSAPSO的PID自适应控制器,经过Matlab仿真后,控制环节的上升时间、超调量及调整时间得到较大改善,系统控制品质得到了一定提高,系统表现出良好的动态性能及较强的鲁棒性。因此,可将DSAPSO进一步应用于整个空调水系统的控制环节,以完成空调水系统的优化控制。  相似文献   

5.
房间温度模糊PID控制研究   总被引:3,自引:0,他引:3  
房间温度控制是一复杂的控制过程,传统的模糊或PID控制很难得到较好的控制效果。本文采用模糊PID控制,设计出空调房间温度控制器。利用MATLAB建立了空调房间温度控制仿真模型。仿真结果表明,模糊PID相结合可使控制效果大大提高。  相似文献   

6.
由于变风量空调系统具有惯性大、时间滞后等特点,单独采用常规PID控制往往效果欠佳。本文借鉴生物免疫反馈机理和模糊控制理论,设计了模糊免疫PID控制器,将模糊免疫算法应用于室内温度控制环节,并运用模糊免疫PID控制技术对温室进行仿真试验。试验结果表明,控制环节的精度、鲁棒性、超调量及调整时间都得到较大改善。  相似文献   

7.
提出了一种基于粒子群算法优化的RBF网络整定PID控制策略.该策略利用粒子群算法对初始PID参数及其学习率进行优化,解决了控制器初始值对控制效果的影响.通过对火灾探测器温箱系统的仿真控制,验证了该控制策略具有控制精度高、抑制噪声及扰动能力强的优点.  相似文献   

8.
针对中央空调冷冻水系统的滞后、时变、非线性等特点,提出将PID控制和粒子群算法相结合,设计出基于改进粒子群优化算法的冷冻水系统变流量PID控制器,进行了两者对系统回水温度控制的仿真及对比分析,结果表明采用DSAPSO的PID自适应控制器后,系统能快速回到设定值,由此反映系统能较快消除干扰,该算法使系统具有较强鲁棒性和自适应能力,算法可以保证回水温度趋近于设定值12℃,即当空调房间的负荷发生变化时,冷冻水的回水温度基本能够稳定在设定的范围内。  相似文献   

9.
本文主要对东方红高压共轨柴油机LR6A3LR机型的轨压控制策略模式进行分析和探讨。分别对开环控制,闭环控制以及前馈控制+PID闭环模式进行分析和探讨,并对采用PID闭环控制和采用前馈控制+PID闭环控制进行试验对比,从试验情况来看,采用前馈控制+PID闭环控制比单纯采用闭环PID调节响应更快,精度更准确。  相似文献   

10.
循环流化床锅炉的床温是一个非线性、时变、多变量耦合的对象,很难建立起精确的数学模型,采用常规控制策略效果不理想.文章采用模糊自适应整定PID智能复合控制算法来宾现对循环流化床锅炉燃烧系统的控制.通过仿真结果表明,模糊自适应整定PID控制对床温控制的快速性、稳定性、适应性、鲁棒性及抗扰能力均比常规的PID控制要好很多.  相似文献   

11.
欧艳华 《大众科技》2013,(12):110-112
针对车用小型空调装置中存在的问题,利用PID控制原理,设计一种基于PID的车载空调装置,该装置由冷子箱和制热箱两个箱体共同组成,制冷采用半导体制冷芯片实现,制热采用发动机产生的热量来实现。该装置设计简单,功能完善,不消耗额外的能量,降低了制冷制热装置的能源消耗。  相似文献   

12.
电厂主汽温被控对象是一个大惯性、大迟延、非线性且对象变化的系统,基于BP神经网络的PID控制,利用神经网络的自学习、非线性和不依赖模型等特性实现PID参数的在线自整定,充分利用PID和神经网络的优点。用一个多层前向神经网络,采用反向传播算法,依据控制要求实时输出Kp、Ki、Kd,依次作为PID控制器的实时参数,代替传统PID参数靠经验的人工整定和工程整定,以达到对大迟延主汽温系统的良好控制。对这样一个系统在MATLAB平台上进行仿真研究,仿真结果表明基于BP神经网络的自整定PID控制具有良好的自适应能力和自学习能力,对大迟延和变对象的系统可取得良好的控制效果。  相似文献   

13.
In the electric driving system, the measurement of the motor speed error becomes more and more important, which has an impact on the system vibration suppression. In this paper, based on the single-neuron adaptive PID control method, the dual-inertia system considering gear friction torque is modeled and studied. Firstly, the dual-inertia system with gear friction is established, and dynamic differential equations of it are derived; Then, the comprehensive meshing stiffness and the time-varying friction torque of the gear system are deduced; Next, the Ziegler-Nichlos frequency domain response method is adopted to obtain the parameters of the PID controller. The control methods including the PID, Fuzzy-PID with DOB and single-neuron adaptive PID are utilized to adjust the motor speed of the system; Finally, the effects of gear friction, the moment of inertia of load and control methods on motor speed and system error are analyzed.  相似文献   

14.
Traditional control method of air–fuel ratio (AFR) of aero engine cannot meet the performance requirement of fuel-powered unmanned aerial vehicle (UAV), which may lead to efficiency reduction and emission increase. In order to improve the control accuracy, this paper proposes a new AFR control method based on fuzzy-PID. We analyze the control results under different working conditions by using adaptive fuzzy-PID. Through simulation and experimental studies, we can draw the conclusions as follows: compared with PID control method, firstly, AFR control error can be reduced by 80% in normal condition; secondly, the control error is reduced by 55% in rapid acceleration condition; in addition, the control error can be reduced by 71% in continuous disturbance condition; comparison results with existing Fuzzy-PID also show that the improved controller has advantage in terms of resisting rapid and continuous interferences; moreover, in practical application of fuzzy-PID control, the highest AFR errors are about 3%. In normal condition, the error is reduced from 5 to 1% compared with PID control, which demonstrates the effectiveness of the improved fuzzy-PID control model. This research can be a reference in the application of UAV aero engine control.  相似文献   

15.
PID参数自整定在温度控制系统中的应用   总被引:1,自引:0,他引:1  
本文叙述了PID参数自整定在温度控制系统中的应用,设计井研制的温度控制系统。具有控制精度高、控制温度范围大、制冷响应速度快葶优点。本文建立了基于高精度温度控制的智能PID参数自整定方法——继电型参数自整定,实验证明,通过参数整定可以较好的实时改变汪拉仪的响应曲线。  相似文献   

16.
挖掘机液压系统控制系统是一个大滞后、非线性系统,难于建立精确的数学模型,应用常规PID控制不能达到理想的控制效果。模糊PID控制是智能控制技术的一类,是解决复杂非线性对象控制问题的一个有效途径。所以,在液压控制系统中采用模糊PID控制器,使系统有较好的鲁棒性、控制精度及动态性能。模糊控制器采用8751单片机的软硬件实现,运行结果证明了这种控制方案的可行性。  相似文献   

17.
赵红洲  潘西明 《科技通报》2012,28(4):150-152
针对数控机床工作台的电液位置伺服系统的组成与工作原理,建立了系统的数学模型,利用坐标轮换法原理对控制系统的PID参数进行优化。仿真结果表明对于不同的初始PID参数,采用坐标轮换法优化PID参数后,系统响应速度快,稳态误差小,控制效果良好。  相似文献   

18.
冯新刚 《科技广场》2012,(3):126-128
本文针对水煤浆球磨机的工况复杂,提出了模糊PID控制对球磨机给煤量自动控制的技术方案,完成了模糊PID控制器的设计,对球磨机的给煤量进行自动控制,使球磨机处于最佳工作状态,具有较好的推广应用价值。  相似文献   

19.
The control of a multirate sampled-data, stirred-tank chemical reactor system using a parameter plane method is considered. Due to wide acceptance of proportional-plus- integral-plus-derivative (PID) control in the chemical process industries, a PID controller with a “slow-fast” multirate scheme is used for the chemical reactor system. Based on two related stability equations and using the PID gains as the adjustable parameters, the set of all possible PID gains to maintain the chemical reactor system's stability, and at the same time, to ensure the system has a specified gain margin, phase margin, damping ratio and damping factor is determined. The effects of changing the integer N (which is the ratio of the sampling rates between a slow-and a fast-sampler) and the basic sampling period T on the set of PID gains are examined and the results for single-rate and multirate cases are also studied.  相似文献   

20.
Though over the years, mathematical modelling of fuzzy PID controllers is carried out extensively with two-dimensional and three-dimensional input spaces, the modelling is rarely attempted using one-dimensional input space. In this paper, this gap is reduced by proposing a simple approach where each of the fuzzy P, fuzzy I, and fuzzy D components is modelled using one-dimensional input space and merged to provide the complete PID action. Another speciality of the proposed approach is that it does not require any AND or OR operator for obtaining the mathematical models of individual PID components. To the best of author’s knowledge, such a modelling approach is completely new. This newly introduced idea of modelling is further extended to fractional order fuzzy PID controllers. Applicability of the proposed fuzzy controllers is delineated with four simulation examples and one real-time experimentation case study. To understand the usefulness of the proposed control schemes, performances of the newly obtained controllers are compared with the results available in literature. As the proposed controllers are model-free controllers, they can easily be implemented for other control applications also.  相似文献   

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