Self-tuning fuzzy logic control of a non-linear structural system with ATMD against earthquake

Self-tuning fuzzy logic controllers (STFLC) for the active control of Marmara Kocaeli earthquake excited building structures are studied in this paper. Vibration control using intelligent controllers, such as fuzzy logic has attracted the attention of structural control engineers during the last few years, because fuzzy logic can handle nonlinearities, uncertainties, and heuristic knowledge effectively and easily. The improved seismic control performance can be achieved by converting a simply designed static gain into a real time variable dynamic gain through a self-tuning mechanism. Self-tuning fuzzy logic controller is designed to reduce the story-drift of each floor. The simulated system has a nine-degree-of-freedom, which is modeled using nonlinear behavior of the base-structure interaction. Modeled system was simulated against the ground motion of the Marmara Kocaeli earthquake (M _w=7.4) in Turkey on 17 August, 1999. At the end of the study, the time history of the story displacements, accelerations, ATMD displacements, control voltage, and frequency responses of the both uncontrolled and controlled cases are presented. The robustness of the controller has been checked through the uncertainty in stiffness of the structure. Performance of the designed STFLC has been demonstrated for the different disturbance using ground motion of the Kobe earthquake. Simulations of an earthquake excited nine story structure are performed to prove the validity of proposed control strategy.     

Low-order self-tuner for fault-tolerant control of a class of unknown nonlinear stochastic sampled-data systems

Based on the modified state-space self-tuning control (STC) via the observer/Kalman filter identification (OKID) method, an effective low-order tuner for fault-tolerant control of a class of unknown nonlinear stochastic sampled-data systems is proposed in this paper. The OKID method is a time-domain technique that identifies a discrete input–output map by using known input–output sampled data in the general coordinate form, through an extension of the eigensystem realization algorithm (ERA). Then, the above identified model in a general coordinate form is transformed to an observer form to provide a computationally effective initialization for a low-order on-line “auto-regressive moving average process with exogenous (ARMAX) model”-based identification. Furthermore, the proposed approach uses a modified Kalman filter estimate algorithm and the current-output-based observer to repair the drawback of the system multiple failures. Thus, the fault-tolerant control (FTC) performance can be significantly improved. As a result, a low-order state-space self-tuning control (STC) is constructed. Finally, the method is applied for a three-tank system with various faults to demonstrate the effectiveness of the proposed methodology.     

Load distribution control system design for a semi-track air-cushion vehicle

This paper describes the design principle for a semi-track air-cushion vehicle working on soft terrain. A novel structure, i.e., a flexible joint mechanism is designed for the semi-track air-cushion vehicle suspension system. Focusing on optimizing the total power consumption of the vehicle, three main issues were studied in this paper. First, a theoretical model for minimizing the total power demand of the vehicle is developed. The effects of load distribution on total rolling resistance and total power requirement are calculated which are compared with the prototype experiment data. Second, the optimization procedure is presented. Third, a control scheme is proposed to minimize the power consumption by using a self-tuning PID fuzzy controller and the feasibility was examined by the simulations performed in Matlab/Simulink software environment.     

基于STM32的低功耗智能定位阀控制器设计

针对工业控制中传统阀门定位器稳定性差、定位精度低、抗干扰能力差、智能化程度低等缺点,以及我国自主研发生产高精度阀门定位器上的不足。设计了以ARM Cortex-M3 内核处理器作为核心控制器的低功耗智能定位阀控制系统。设计中采用优化的PID控制算法,并采用齐格勒-尼克尔斯法则,自整定PID参数。通过二线制HART 协议实现与外界设备通讯。实践证明自整定PID参数能够更好的适应各种控制现场,控制系统能够稳定、快速的运行实现了阀门位置的精确定位和本安低功耗设计的要求。     

Nonlinear phenomena of left-handed nonlinear split-ring resonators

We theoretically analyze a two-dimensional periodic structure consisting of period nonlinear split-ring resonators (SRRs) with varactor diode. The diode is loaded into the slit of the SRRs. Then, we demonstrate nonlinear phenomena of left-handed nonlinear SRRs. This paper introduces nonlinear SRRs based on left-handed (LH) media and simulates self-tuning mechanisms, bistable effects in the microwave frequency range. In addition, with the increase of input power, the nonlinear response of the SRRs becomes multi-valued, paving a way for creating bistable tunable metamaterials.     

一种基于神经网络的自校正模糊控制器

本文介绍了一种基于人工神经网络因而有自学习能力的模糊控制器。控制器的学习采用离线训练，在线直接学习和在线自学习的三阶段方式。实验结果表明该模糊控制器具有较好的自校正能力。     

LNG气化储配站自控系统

为解决城市供气不均衡的矛盾,创新的提出了通过LNG储罐自增压法对LNG气化储配站出口压力进行调节的方案。同时,针对LNG气化储配站出口压力控制具有大容器大滞后、时变、易受随机因素干扰等特点,采用先进的隐式广义预测自校正算法对LNG出口压力进行控制,通过仿真,表现出良好的跟     

Self-tuning and stochastic resonance in a simple threshold system—a filter theory approach

Fully nonlinear filter theory is applied to a simple threshold system, which plays the role of an observer of input signals from a Brownian dynamical system. Our filtering results are discussed within the frameworks of both stochastic resonance and self-tuning of the threshold values, which gathers a lot of attention in relation to information processing in auditory systems.     

模糊自适应PID算法在核磁共振谱仪样品旋转控制系统中的应用

在核磁共振(NMR)实验中,样品旋转能够有效消除 XY 方向磁场的部分不均匀性,从而提高信号分辨率.在商用NMR谱仪中,一般采用PID算法进行待测样品的旋转控制.由于被控对象具有一定的非线性,存在着调节时间较长,稳定后存在误差等缺点.针对该现象,在Varian 500 MHz波谱仪气路系统的基础上,设计一套新的控制电路...