Application of Nonlinear Predictive Control Based on RBF Network Predictive Model in MCFC Plant

This paper described a nonlinear model predictive controller for regulating a molten carbonate fuel cell (MCFC). A detailed mechanism model of output voltage of a MCFC was presented at first. However, this model was too complicated to be used in a control system. Consequently, an off line radial basis function (RBF) network was introduced to build a nonlinear predictive model. And then, the optimal control sequences were obtained by applying golden mean method. The models and controller have been realized in the MATLAB environment. Simulation results indicate the proposed algorithm exhibits satisfying control effect even when the current densities vary largely.     

Robust stability of neutral systems: A discretized Lyapunov functional method

This paper focuses on the robust stability for time-delay systems of neutral type. A new complete Lyapunov-Krasovskii function (LKF) is developed. Based on this function and discretization, stability conditions in terms of linear matrix inequalities are obtained. A class of time-varying uncertainty of system matrices can be studied by the method. Foundation item: the National High Technology Research and Development Program (863) of China (No. 2006AA05Z148)     

Nonlinear Predictive Control for PEMFC Stack Operation Temperature

Operating temperature of proton exchange membrane fuel ceil stack should be controlled within a special range. The input-output data and operating experiences were used to establish a PEMFC stack model and operating temperature control system. A nonlinear predictive control algorithm based on fuzzy model was presented for a family of complex system with severe nonlinearity such as PEMFC. Based on the obtained fuzzy model, a discrete optimization of the control action was carried out according to the principle of Branch and Bound method. The test results demonstrate the effectiveness and advantage of this approach.     

建造中的船体在船台上的应力松驰现象研究

为得到建造中的船体在船台上的船体变形数据,基于FBG技术设计了船体在船台上的蠕变和应力松驰现象的监测系统,将该系统布置在实际船体结构上,测量了在船台上受结构蠕变和结构应力松驰现象综合作用所造成的船体结构变形,分析了监测过程中造成船体结构变形的因素,指出应力松驰是主要因素。数据分析表明:利用FBG传感技术进行船体变形长期监测是可行的;船体在船台上存在结构蠕变和应力松驰现象。最后,并基于壳体理论估算了船台上的船体结构的内应力释放速率。     

敷设阻尼及阻抗失配连接下管母线振动特性分析

随着潜艇设备用电需求的提升,电力电缆的大量使用为艇内空间布置和施工带来了极大的不便。母线槽有其载流量大、重量轻、安装方便等优势特点,若能将母线槽应用于艇内馈电则可解决以上问题。但潜艇有着异于上述工程结构的工作环境,应用设计时需对其振动噪声进行控制。文章结合管型母线槽与管路的结构相似性,从敷设自由阻尼层、增加连接部位界面阻抗失配度的角度对管母线进行了结构动力性能设计;分析了敷设阻尼、粘弹夹层软连接对振动能量的吸收、阻隔效果;完成了某典型软连接形式下的振动响应计算,结果表明该抑振设计工况可使管母线的中跨段加速度总振级降低25 dB;探究了内外侧绝缘阻尼层在不同模量、损耗因子及厚度情况下对管母线振动性能的影响,为母线槽振动噪声控制提供了设计支撑。     

UUV动力电池氧源

本文综述了UUV动力电池氧源的一般要求,介绍了几种主要氧源的特点和研究进展,对其优点和缺点进行了讨论和比较。     

Nonlinear Modeling and Neuro-Fuzzy Control of PEMFC

The proton exchange membrane generation technology is highly efficient, and clean and is considered as the most hopeful “green” power technology. The operating principles of proton exchange membrane fuel cell （PEMFC） system involve thermodynamics, electrochemistry, hydrodynamics and mass transfer theory, which comprise a complex nonlinear system, for which it is difficult to establish a mathematical model and control online. This paper analyzed the characters of the PEMFC; and used the approach and self-study ability of artificial neural networks to build the model of nonlinear system, and adopted the adaptive neural-networks fuzzy infer system to build the temperature model of PEMFC which is used as the reference model of the control system, and adjusted the model parameters to control online. The model and control were implemented in SIMULINK environment. The results of simulation show the test data and model have a good agreement. The model is useful for the optimal and real time control of PEMFC system.     

部分预应力砼T型板连续梁设计初探

对广州市番禺迎宾路接东环路高架桥工程T型板梁的结构受力分析,介绍无粘结预应力筋在公路桥梁中的应用和T型板梁的设计特点。     

广西乐百高速公路K96段滑坡原因分析及治理方案

文章在分析乐百高速公路K96段滑坡产生原因的基础上,通过稳定性和剩余下滑力计算,对该滑坡采取了锚索抗滑桩、锚索框架、截排水相结合的综合治理措施。该滑坡的成功治理,充分证明K96段滑坡原因分析正确,综合治理方案合理。