Improvement in automatic generation control of two-area electric power systems via a new fuzzy aided optimal PIDN-FOI controller

Automatic generation control (AGC) executes a vital role to supply quality power in an interconnected power system. To cultivate good quality of power supply via preserving area frequency and tie-line power oscillations following consumer's load demand disturbances, the controller designed for AGC of power system should display excellent disturbance rejection expertise. Hence, in this paper, a maiden attempt is made to propose a fuzzy aided integer order proportional integral derivative with filter-fractional order integral (FPIDN-FOI) controller for AGC of multi-area power systems. A more recent intelligent optimization technique termed as imperialist competitive algorithm (ICA) is fruitfully employed for concurrent tuning of various parameters of the proposed controller. It is observed from the simulation results that the proposed FPIDN-FOI controller outperforms the various existing control strategies and PID/PIDN/FPIDN controller designed in the study for five different power system models. Effect of variation in fractional order value of integral on the system performance is analyzed. A sensitivity analysis is conducted to test the robustness of the designed controller under variations in the system parameters, load demands and existence of the system nonlinearities. It is perceived that the proposed controller is robust and executes adequately under variations in system parameters, random load disturbance patterns and nonlinearities.     

A novel optimized hybrid fuzzy logic intelligent PID controller for an interconnected multi-area power system with physical constraints and boiler dynamics

In the fast developing world nowadays, load frequency control (LFC) is considered to be a most significant role for providing the power supply with good quality in the power system. To deliver a reliable power, LFC system requires highly competent and intelligent control technique. Hence, in this article, a novel hybrid fuzzy logic intelligent proportional-integral-derivative (FLiPID) controller has been proposed for LFC of interconnected multi-area power systems. A four-area interconnected thermal power system incorporated with physical constraints and boiler dynamics is considered and the adjustable parameters of the FLiPID controller are optimized using particle swarm optimization (PSO) scheme employing an integral square error (ISE) criterion. The proposed method has been established to enhance the power system performances as well as to reduce the oscillations of uncertainties due to variations in the system parameters and load perturbations. The supremacy of the suggested method is demonstrated by comparing the simulation results with some recently reported heuristic methods such as fuzzy logic proportional-integral (FLPI) and intelligent proportional-integral-derivative (PID) controllers for the same electrical power system. the investigations showed that the FLiPID controller provides a better dynamic performance and outperform compared to the other approaches in terms of the settling time, and minimum undershoots of the frequency as well as tie-line power flow deviations following a perturbation, in addition to perform appropriate settlement of integral absolute error (IAE). Finally, the sensitivity analysis of the plant is inspected by varying the system parameters and operating load conditions from their nominal values. It is observed that the suggested controller based optimization algorithm is robust and perform satisfactorily with the variations in operating load condition, system parameters and load pattern.     

基于模糊控制的太阳能发电伺服系统的优化设计

针对自动追踪式太阳能光伏发电系统在定位太阳位置的过程中具有明显时变非线性的特点．在论述了模糊控制规律实现方法的基础上．采用了模糊算法和PID控制二者的优点．设计了一种新型基于模糊控制的PID控制器。阐述和分析了太阳能发电系统在追踪太阳时伺服运动闭环模糊PID控制系统的可行性和有效性．并通过实验验证了该系统调节具有精度高．响应快等优点。     

Performance and robustness of optimal fractional fuzzy PID controllers for pitch control of a wind turbine using chaotic optimization algorithms

The most studied controller for pitch control of wind turbines is proportional-integral-derivative (PID) controller. However, due to uncertainties in wind turbine modeling and wind speed profiles, the need for more effective controllers is inevitable. On the other hand, the parameters of PID controller usually are unknown and should be selected by the designer which is neither a straightforward task nor optimal. To cope with these drawbacks, in this paper, two advanced controllers called fuzzy PID (FPID) and fractional-order fuzzy PID (FOFPID) are proposed to improve the pitch control performance. Meanwhile, to find the parameters of the controllers the chaotic evolutionary optimization methods are used. Using evolutionary optimization methods not only gives us the unknown parameters of the controllers but also guarantees the optimality based on the chosen objective function. To improve the performance of the evolutionary algorithms chaotic maps are used. All the optimization procedures are applied to the 2-mass model of 5-MW wind turbine model. The proposed optimal controllers are validated using simulator FAST developed by NREL. Simulation results demonstrate that the FOFPID controller can reach to better performance and robustness while guaranteeing fewer fatigue damages in different wind speeds in comparison to FPID, fractional-order PID (FOPID) and gain-scheduling PID (GSPID) controllers.     

基于PSO的模糊PID车载平台调平控制系统研究

为解决车载平台调平控制系统响应速度慢、自适应能力差的问题,对一款液压马达带动滚珠丝杠的调平支腿,建立其数学模型,提出了基于粒子群优化(Particle Swarm Optimization,PSO)的模糊比例积分微分(Proportional Integral Derivative,PID)控制方案.通过结合PSO算法...     

基于模糊PID控制器的流量控制设计

现今流量控制系统很多都使用常规PID控制器,这样虽然比较方便,但不能在线整定参数,因而不能很好地控制非线性等复杂系统.在本系统中,采用模糊PID控制器来设计控制流量.模糊PID控制器将PID控制和模糊控制两种方法结合起来,既能消除稳态误差,又能对复杂系统进行简单有效的控制,从而达到控制要求.     

Robust Takagi-Sugeno fuzzy control for fractional order hydro-turbine governing system

A robust fuzzy control method for fractional order hydro-turbine governing system (FOHGS) in the presence of random disturbances is investigated in this paper. Firstly, the mathematical model of FOHGS is introduced, and based on Takagi-Sugeno (T-S) fuzzy rules, the generalized T-S fuzzy model of FOHGS is presented. Secondly, based on fractional order Lyapunov stability theory, a novel T-S fuzzy control method is designed for the stability control of FOHGS. Thirdly, the relatively loose sufficient stability condition is acquired, which could be transformed into a group of linear matrix inequalities (LMIs) via Schur complement as well as the strict mathematical derivation is given. Furthermore, the control method could resist random disturbances, which shows the good robustness. Simulation results indicate the designed fractional order T-S fuzzy control scheme works well compared with the existing method.     

温度控制系统的模糊PID控制方法研究

温度系统具有滞后现象严重等非线性特点,很难建立精确的数学模型,基于数学模型的控制方法很难实现高精度的温度控制。为此,本文提出了一种不依赖数学模型的基于模糊控制的PID温度控制方法。通过在MATLAB Simulink环境中利用Fuzzy工具箱建立仿真系统,并进行仿真实验研究,其结果表明采用模糊PID控制方法的系统的动、静态性能和精度得到明显提高。     

功率超声设备振幅模糊控制技术的研究

利用功率超声医疗设备对病人进行治疗的过程中，手术刀的振幅是一个关键的控制参数，它直接影响到手术的效果。由于手术刀的振幅随着环境的温度、时变非线性的负载、以及加压等因素的影响而变化，故此需要对振动系统的振幅进行稳定控制。首先分析了纵向复合棒大功率换能器加接刀具的振动系统的等效机电模型，根据等效机电模型提出了一种基于自调整PID模糊控制器的功率超 声设备振幅控制方法。并分析了自调整PID模糊控制器的结构和原理，这种控制器同PID控制器相比较，既可以消除极限环振荡，又可以消除系统余差的优点。最后给出了一种实用的方法。实验表明采用该模糊控制技术提高了系统的鲁棒性和控制精度，为超声振动系统振幅的控制提供了新的思路。     

小型脱网风力发电系统功率优化控制

脱网小型风力发电系统对边远地区供电具有无可比拟的优越性。构建了以鼠笼式感应电机为发电系统的脱网小功率风力发电系统,给出了主电路拓扑结构。实现了空气动力学子系统、机械传动链子系统的分析和建模,结合鼠笼式感应电机的矢量控制,详细设计了系统的功率控制环,在MATLAB环境下进行了系统仿真,仿真结果表明,该系统能实现小功率风力发电系统的功率跟踪优化控制。     

基于模糊控制的小功率柴油发电机组调速系统

在设计以AT89C52单片机为控制芯片,10GF1-4风冷柴油发电机组为代表的小功率柴油发电机组基础上,运用模糊PID控制方法,研究了小功率柴油发电机组调速系统的自动控制性能.仿真结果表明,该系统提高了控制精度,增强了系统的稳态和动态性能,减小了系统超调量,具有广阔的推广应用前景.     

辅助混合动力汽车辅助动力控制系统的研究

对辅助混合动力汽车进行了技术研究,详细介绍了其系统构成和三种工作模式.为了实现辅助动力系统和整车高效运转,开发了辅助动力控制系统,重点介绍了辅助动力控制系统的控制策略和功能实现.辅助动力系统采用开关式控制策略,发动机采用恒转速控制.最后实验结果表明辅助动力系统可以实现对车载能源的高效补充,混合驱动模式下行驶里程比纯电动模式提高约10%.     

SRG风力发电系统最大风能追踪控制研究

针对在实验室条件下实现SRG风力发电系统的最大风能追踪控制的问题,对风力机的运行特性及其模拟实现方案、开关磁阻电机的工作原理及其控制方法等方面进行了研究,并对风力发电系统中实现最大风能追踪的控制策略进行了介绍,提出了基于转速反馈的SRG发电系统最大风能追踪控制方案,同时对直流电机进行了转矩控制以实现风力机输出特性的模拟.在SRG风力发电系统平台上对风力机模拟系统进行了测试评价,并进行了变风速条件下的最大风能追踪试验.研究结果表明,直流电机能够有效模拟风力机的输出特性,控制简单,抗干扰能力强,基于转速反馈的MPPT控制方法能够在风速变化时快速调节SRG输出,准确地实现最大风能跟踪.     

基于PLC的空冷器恒温控制系统的设计

针对当前空冷器运行中存在的温度不稳定、控制精度低、工作强度大、能源浪费严重等问题,该文设计了一种空冷器变频恒温控制系统。在该系统中,通过应用将模糊控制和PID控制相结合的方法实现对空冷器风机的变频调速,不仅可以提高控制精度,并能保证空冷器管束温度的稳定性;同时,该系统还运用MCGS组态软件建立上位机操作界面和通过建立PLC主从站实现对运行过程的实时监控和远程操作,从而达到空冷器管束温度控制系统的自动化和智能化。     

基于模糊自整定PID的二质量伺服控制系统的研究

在分析了直流伺服系统电学方程和动力学方程的基础上,建立了二质量伺服系统的数学模型及SIMULINK仿真模型.通过MATLAB模糊工具箱和SIMULINK,实现了模糊自整定PID控制器的设计和系统仿真.仿真结果表明用模糊自整定PID控制二质量伺服系统,系统响应快,超调量小,稳定精度高.     

移动工作台位置控制系统变论域模糊PID研究

单机多工位锻压机的移动工作台位置控制系统是多变量的非线性耦合系统,常规PID控制和模糊PID控制难以完全适应复杂系统变化,满足系统控制要求。为了解决这一问题,在模糊PID控制的基础上加入变论域模块,改变模块中的论域伸缩因子,使模糊控制的论域随系统条件变化而调整,最终整定出满足系统控制要求的PID参数。对移动工作台位置控制环节建立了数学模型,并在Matlab/Simulink中进行了控制系统建模及仿真分析。结果表明:相比常规PID控制和模糊PID控制,使用变论域模糊PID控制的系统具有良好的动静态性能,在响应速度、过渡过程时间及稳态精度等方面具有更好的优越性,适合在复杂的非线性耦合控制系统中使用。     

基于模糊自适应PID控制的中央空调监控系统研究

针对中央空调系统存在非线性、不确定性和干扰性等问题,构建了基于iFIX组态软件和MATLAB的模糊自适应PID中央空调监控系统,并且在中央空调模型上成功运行,运行效果良好。