共查询到20条相似文献，搜索用时 839 毫秒
1.
《Journal of The Franklin Institute》2001,338(2-3):353-370
A methodology for the design of fuzzy control laws for tracking control of mechanical systems is described. The approach uses Lyapunov's stability theory to formulate a class of control laws that guarantee convergence of the tracking errors to within specification limits in presence of bounded parameter uncertainties and input disturbances. The proposed methodology results in control laws that possess a large number of parameters and functional relationships to be chosen by the designer. The flexibility of the approach makes it suitable for fuzzy logic implementation. Different fuzzy implementations of the proposed control methodology are described. All implementations guarantee tracking error convergence to within prespecified performance limits. Simulations using a model of a two-degree-of-freedom robot manipulator were performed to investigate fuzzy and non-fuzzy implementations of the proposed methodology. The study demonstrates better performance of the fuzzy control implementation compared to its non-fuzzy counterpart. 相似文献
2.
为了提高温室自动控制系统的控制精度和响应速度,设计了智能控制模型和算法应用到温室自动控制系统中。文章详细介绍了温室自动控制系统的组成结果和各功能模块,重点阐述了温室自动控制系统中的智能控制模型以及实现方法,提出了基于LABVIEW的仿真测试方案,通过编程开发,构建了温室自动控制系统的逻辑表达形式,并能够通过调整程序运行参数,实现对温室自动控制系统的动态调节。 相似文献
3.
C.P. Guillén-Flores B. Castillo-Toledo J.P. García-Sandoval S. Di Gennaro V. González Álvarez 《Journal of The Franklin Institute》2013
This paper proposes the design of a reset fuzzy observer for the class of nonlinear systems able to be described by a Takagi–Sugeno fuzzy model. The observer uses both continuous and discrete measurements and in contrast with the observers based on the First Order Reset Element (FORE), it updates its states resetting the initial condition of the integrator at each instant when the discrete measurements are available. The proposed fuzzy observer is applied to estimate the substrate and biomass concentration of an anaerobic wastewater treatment process and the effectiveness of the proposed method is tested by simulations comparing the results of a reset fuzzy observer with two fuzzy observers using continuous measurements only. Finally, the estimation scheme is validated using experimental data from an actual anaerobic digestion process, suggesting that the proposed reset fuzzy observer is a practical and encouraging approach to the state estimation of the class nonlinear processes under study. 相似文献
4.
《Journal of The Franklin Institute》2018,355(14):6830-6858
Inaccuracy of measurements, associated with most of the commercial-off-the-shelf (COTS) Inertial Measurement Unit (IMU), impede achieving an accurate attitude estimation during autonomous near-hover flight. Moreover, the unmeasured states of the Tip Path Plane (TPP) flapping angles of the main rotor make the estimation and control of unmanned helicopters more challenging. In this paper, an intelligent adaptive fuzzy data fusion algorithm is designed to obtain more accurate estimates of the attitude and flapping angles for a flybarless miniature helicopter. In this algorithm, the filter's measurement noise matrix is continuously adapted using the Innovative-based Adaptive Estimation (IAE) technique. This technique is based on evaluating the discrepancy between the actual and theoretical covariance of the filter's innovation sequence. A well-tuned multi-input, single output Fuzzy Inference System (FIS) takes the value of this evaluated discrepancy and its rate of change as inputs and provides the required adjustment value as an output based on a set of predefined fuzzy rules. Compared to the conventional Kalman Filter (KF) state estimation results, the proposed intelligent estimation results have demonstrated an obvious enhancement in estimating the attitude and the flapping angles. The estimated flapping angles have been also used to estimate the moments and forces of the helicopter rotors under near-hover assumptions. An actual near-hover flight was conducted to validate the performance of the proposed intelligent estimation method. 相似文献
5.
Advanced fault detection and accommodation schemes are required for ensuring efficient and reliable operation of modern wind turbines. This paper presents a novel approach in designing a fault detection and diagnosis (FDD) and fault-tolerant control (FTC) scheme for a wind turbine using fuzzy modeling, identification and control techniques. First, an improved gain-scheduled proportional-integral (PI) control system based on fuzzy gain scheduling (FGS) technique for multi-input and multi-output wind turbine system is designed. Then, to accommodate sensor faults and based on a signal correction algorithm, an active fault-tolerant control system (AFTCS) is developed as an extension of the gain-scheduled PI control system. The AFTCS exploits the fault information from a model-based FDD scheme developed using fuzzy modeling and identification method. The proposed schemes are evaluated by a series of simulations on a well-known large off-shore wind turbine benchmark in the presence of wind turbulences, measurement noises, and different realistic fault scenarios. All results indicate high effectiveness and robustness of the designed control systems in both fault-free and faulty operations of the wind turbine. 相似文献
6.
7.
铂电阻智能测温电路设计及非线性校正方法 总被引：1，自引：0，他引：1
单片机因其高可靠性,高性价比被广泛应用于工业控制系统,智能化仪表和智能接口等领域。介绍以单片机为核心的铂电阻智能测温电路设计及非线性校正方法,主要分析了硬件的结构及其工作原理。该电路系统由温度采集电路,信号放大电路,模数转换模块ICL7135,89C51单片机,数码管显示电路及上位机组成。其具有数码管动态显示温度、上下限报警、打印与上位机通讯等功能。并通过分析铂电阻温度传感器的非线性特性,采用非线性A／D转换器7135实现线性补偿设计。 相似文献
8.
9.
针对智能楼宇安防系统高智能和高精度的设计需求,提出了基于模糊推理的智能楼宇安防系统设计方案,构建了模糊推理系统的组成结构.针对智能楼宇的特定应用环境,分析了各种安防控制的参数采集和处理过程.设计了模糊推理系统中的推理机制以及模糊推理规则,实现了一个高度智能化的楼宇安防系统. 相似文献
10.
11.
Yogendra Arya 《Journal of The Franklin Institute》2018,355(5):2662-2688
The interconnected large-scale power systems are liable to performance degradation under the presence of sudden small load demands, parameter ambiguity and structural changes. Due to this, to supply reliable electric power with good quality, robust and intelligent control strategies are extremely requisite in automatic generation control (AGC) of power systems. Hence, this paper presents an output scaling factor (SF) based fuzzy classical controller to enrich AGC conduct of two-area electrical power systems. An implementation of imperialist competitive algorithm (ICA) is made to optimize the output SF of fuzzy proportional integral (FPI) controller employing integral of squared error criterion. Initially the study is conducted on a well accepted two-area non-reheat thermal system with and without considering the appropriate generation rate constraint (GRC). The advantage of the proposed controller is illustrated by comparing the results with fuzzy controller and bacterial foraging optimization algorithm (BFOA)/genetic algorithm (GA)/particle swarm optimization (PSO)/hybrid BFOA-PSO algorithm/firefly algorithm (FA)/hybrid FA-pattern search (hFA-PS) optimized PI/PID controller prevalent in the literature. The proposed approach is further extended to a newly emerged two-area reheat thermal-PV system. The superiority of the method is depicted by contrasting the results of GA/FA tuned PI controller. The proposed control approach is also implemented on a multi-unit multi-source hydrothermal power system and its advantage is established by Correlating its results with GA/hFA-PS tuned PI, hFA-PS/grey wolf optimization (GWO) tuned PID and BFOA tuned FPI controllers. Finally, a sensitivity analysis is performed to demonstrate the robustness of the proposed method to broad changes in the system parameters and size and/or location of step load perturbation. 相似文献
12.
《Journal of The Franklin Institute》2023,360(12):8277-8299
This paper is concerned with the problem of adaptive event-triggered (AET) based optimal fuzzy controller design for nonlinear networked control systems (NCSs) characterized by Takagi–Sugeno (T–S) fuzzy models. An improved AET communication scheme with a memory adaptive rule is proposed to enhance the utilization of the state response vertex data. Different from the existing ET based results, the improved AET scheme can save more communication resources and acquire better system performance. The sufficient criteria of performance analysis and controller design are presented for the closed-loop control system subject to mismatched membership functions (MFs) and AET scheme. And then, a new MFs online learning algorithm on the basis of the gradient descent approach is employed to optimize the MFs of fuzzy controller and obtain optimal fuzzy controller for further improving system performance. Finally, two simulation examples are presented to verify the advantage and effectiveness of the provided controller design technique. 相似文献
13.
This paper presents an optimal fuzzy partition based Takagi Sugeno Fuzzy Model (TSFM) in which a novel clustering algorithm, known as Modified Fuzzy C-Regression Model (MFCRM), has been proposed. The objective function of MFCRM algorithm has been developed by considering of geometrical structure of input data and linear functional relation between input–output data. The MFCRM partitions the data space to create fuzzy subspaces (rules). A new validation criterion has been developed for detecting the right number of rules (subspaces) in a given data set. The obtained fuzzy partition is used to build the fuzzy structure and identify the premise parameters. Once, right number of rules and premise parameters have been identified, then consequent parameters have been identified by orthogonal least square (OLS) approach. The cluster validation index has been tested on synthetic data set. The effectiveness of MFCRM based TSFM has been validated on benchmark examples, such as Boiler Turbine system, Mackey–Glass time series data and Box–Jenkins model. The model performance is also validated through high-dimensional data such as Auto-MPG data and Boston Housing data. 相似文献
14.
IEEE802.21工作小组为解决异构网络互联问题提出了媒介独立切换(Media Independent Handover,MIH)方案。对WIFI、WIMAX异构网络融合进行了研究,为解决异构网络之间移动的平滑切换问题设计出一套切换流程和切换判决策略。通过仿真实验验证了其良好的性能。 相似文献
15.
智能搜索引擎的提出引发了新一轮搜索引擎革命,然而其实现还有一定的困难。以目前非常成熟的PageRank技术为基础进行改进,构建基于个人需要的PageRank算法,可以实现智能搜索引擎所需要的多种个性化功能。目前在大型广域搜索引擎上建立个性化的智能搜索引擎还比较困难,而高校图书馆在信息规模、用户基础和运行条件上都有建立智能搜索引擎的优势。对目前的高校图书馆检索系统进行一定的改进,可以实现智能搜索引擎的个性化功能。 相似文献
16.
有记忆信号的观测值是相互关联的,传统检测方法不能达到最佳效果。本文提出一种基于维特比算法的最大似然序列检测器,Viterbi算法将ML序列检测器执行的网格路径搜索的数量减到最小,采用全并行方案,用FPGA作为硬件载体,从而获得更快的速度和更小的电路规模。 相似文献
17.
电力系统继电保护技术是以信息技术的发展为基础的,随着网络通信技术与自动控制技术的发展,数字化变电站逐渐取代了旧式变电站,使继电保护向智能化、数字化的方向发展。继电保护作为变电站甚至电力系统的第一道防线,直接关系到变电站供电的安全性、可靠性和灵活性。所以,本文通过对一种在数字化变电站中应用到的一种新型继电保护技术的研究,分析在电力系统智能时代,如何更为安全、更为有效的实现继电保护。 相似文献
18.
A. Aziz Khater Ahmad M. El-Nagar Mohammad El-Bardini Nabila M. El-Rabaie 《Journal of The Franklin Institute》2018,355(14):6390-6415
In this paper, an adaptive Takagi–Sugeno (T–S) fuzzy controller based on reinforcement learning for controlling the nonlinear dynamical systems is proposed. The parameters of the T–S fuzzy system are learned using the reinforcement learning based on the actor-critic method. This on-line learning algorithm improves the controller performance over the time, which it learns from its own faults through the reinforcement signal from the external environment and tries to reinforce the T–S fuzzy system parameters to converge. The updating parameters are developed using the Lyapunov stability criterion. The proposed controller is faster in learning than the T–S fuzzy that parameters learned using the gradient descent method under the same conditions. Moreover, it is able to handle the load changes and the system uncertainties. The test is carried out based on two mathematical models. In addition, the proposed controller is applied practically for controlling a direct current (DC) shunt machine. The results indicate that the response of the proposed controller has a good performance compared with other controllers. 相似文献
19.
针对电厂发电过程中需对蒸汽锅炉进行自动控制的目的,提出了采用模糊控制原理实现蒸汽锅炉压力和温度的自动控制方案。通过深入研究火力发电厂中的蒸汽锅炉的工作循环过程,建立了蒸汽锅炉内部压力和温度的工作模型。文章详细设计了电厂蒸汽锅炉自动控制系统的总体方案,重点研究了模糊控制模块的设计原理和实现方法,给出了模糊控制中的隶属函数和各个主要变量的模糊化过程。最后通过仿真测试,分析了锅炉自动控制系统的工作性能。 相似文献