窗户的背后——解读Poli house（坡里住宅）

本文通过对建筑师Mauricio Pezo和Sofia von Ellrichshausen设计的Poli house立面窗户的分析,解读了形式背后精确地的功能、空间和场地的逻辑关系,以及建筑师的设计理念。希望其会给我们带来一些建筑本体的思考。     

Design Signals: The Role of Software Architecture and Paradigms in Design Thinking and Practice

Does the ontology of design software influence built form? Panagiotis Michalatos , lecturer in architectural technology at Harvard Graduate School of Design and a principal research engineer at Autodesk, Inc, here looks at how the move from drawing typologies to digital modelling since the mid-1990s has affected architectural aesthetics. He goes on to examine two more recent developments that may announce a further paradigm shift: granular tracking of design input, and data organisation practices in biomedics which, transferred to architecture, could allow for a more spatio-temporal approach.     

Fuzzy logic sliding mode control for command guidance law design

Recently, the combination of sliding mode and fuzzy logic techniques has emerged as a promising methodology for dealing with nonlinear, uncertain, dynamical systems. In this paper, a sliding mode control algorithm combined with a fuzzy control scheme is developed for the trajectory control of a command guidance system. The acceleration command input is mathematically derived. The proposed controller is used to compensate for the influence of unmodeled dynamics and to alleviate chattering. Simulation results show that the proposed controller gives good system performance in the face of system parameters variation and external disturbances. In addition, they show the effectiveness of the proposed missile guidance law against different engagement scenarios where the results demonstrate better performance over the conventional sliding mode control.     

Sliding mode control with fuzzy adaptive perturbation compensator for 6-DOF parallel manipulator

This paper proposes a sliding mode controller with fuzzy adaptive perturbation compensator (FAPC) to get a good control performance and reduce the chatter. The proposed algorithm can reduce the chattering because the proposed fuzzy adaptive perturbation compensator compensates the perturbation terms. The compensator computes the control input for compensating unmodeled dynamic terms and disturbance by using the observer-based fuzzy adaptive network (FAN). The weighting parameters of the compensator are updated by on-line adaptive scheme in order to minimize the estimation error and the estimation velocity error of each actuator. Therefore, the combination of sliding mode control and fuzzy adaptive network gives the robust and intelligent routine to get a good control performance. To evaluate the control performance of the proposed approach, tracking control is experimentally carried out for the hydraulic motion platform which consists of a 6-DOF parallel manipulator.     

基于模糊推理决策的智能化多点温度巡回监测系统

本文介绍了一种基于模糊推理决策的智能化多点温度巡回监测系统。采用多传感器信息模糊化推理决策技术,对多点温度监测信息按模糊推理决策规则计算出温度超限可能性的总体最优决策量值。系统稳定可靠,能对各监测点信息进行自动跟踪,即使在局部传感器发生故障时仍可对总体温度超娶的可能性作出正确判断。     

气体测量中的温湿度补偿新方法

针对气体传感器的温湿度效应,提出了两种新的温湿度补偿方法,即模糊修正因子法和人工神经网络法。实验结果表明,这两种方法软硬件实现简单,补偿精度高,具有一定的工程应用价值。     

切削加工尺寸精度模糊智能控制的研究

针对金属切削加工中影响工件尺寸精度非线性因素众多 ,精确数学模型难以建立的特点 ,提出尺寸加工精度控制的模糊智能化方法 ,设计了自寻优模糊控制器 ,实现了工件尺寸精度在线智能监控。仿真试验结果表明 ,这种控制器具有很好的鲁棒性 ,获得了满意的控制效果。     

可编程序控制器在水压试验机上的应用

介绍了水压试验机的工作原理,分析了其控制系统的硬件组成、软件流程图,对运行结果作了充分肯定。     

The Use of Fuzzy Logic in the Taguchi Method for the Optimisation of the Submerged Arc Welding Process

The use of fuzzy logic in the Taguchi method to optimise the submerged arc welding process with multiple performance characteristics is reported in this paper. An orthogonal array, the signal-to-noise ratio, multiresponse performance index, and analysis of variance are employed to study the performance characteristics in the submerged arc welding process. The process parameters, namely arc current, arc voltage, welding speed, electrode protrusion, and preheat temperature are optimised with considerations of the performance characteristics, including deposition rate and dilution. Experimental results are provided to confirm the effectiveness of this approach.     

Optimal Tolerance Allocation Based on Fuzzy Comprehensive Evaluation and Genetic Algorithm

It is very important to know how to allocate tolerances economically for parts in a CAD/CAM system because this directly affects the machining costs of the parts. A new approach based on fuzzy comprehensive evaluation (FCE) and a genetic algorithm (GA) is presented to obtain a rational tolerance allocation for the parts. First, the current methods for tolerance allocation are reviewed in detail. Then, FCE is used to evaluate the machinability of a part; a new optimal model, which can fully exploit DFA (design for assembly) and DFM (design for manufacturing), is established by combining the functional sensitivity factors and machinability factors of parts. A genetic algorithm (GA) is developed and used to verify the feasibility of the above method; the computed result shows that the method can produce tolerance allocations economically and accurately.