摘要：In this paper, the Authors present the designing of power system stabilizer (PSS) and static var compensator (SVC) based on chaos, particle swarm optimization (PSO) and shuffled frog leaping (SFL) Algorithms has been presented to improve the power system stability. Single machine infinite bus (SMIB) system with SVC located at the terminal of generator has been considered to evaluate the proposed SVC and PSS controllers. The coefficients of PSS and SVC controller have been optimized by Chaos, PSO and SFL algorithms. Fi-nally the system with proposed controllers is simulated for the special disturbance in input power of genera-tor, and then the dynamic responses of generator have been presented. The simulation results show that the system composed with recommended controller has outstanding operation in fast damping of oscillations of power system and describes an application of Chaos, PSO and SFL algorithms to the problem of designing a Lead-Lag controller used in PSS and SVC in power system.

摘要：In this paper, Power System Stabilizer (PSS) and Automatic Voltage Regulator (AVR) are coordinated to improve the transient stability of generator in power system. Coordinated design problem of AVR and PSS is formulated as an optimization problem. particle Swarm Optimization (PSO) technique is an advanced robust search method by the swarming or cooperative behavior of biological populations mechanism. The performance of PSO has been certified in solution of highly non-linear objectives. Thus, PSO technique has been employed to optimize the parameters of PSS and AVR in order to reduce the power system oscillations during the load changing conditions in single-machine, infinite-bus power system. The results of nonlinear simulation suggest that, by coordinated design of AVR and PSS based on PSO technique power system oscillations are exceptionally damped. Correspondingly, it’s shown that power system stability is superiorly enhanced than the uncoordinated designed of the PSS and the AVR controllers.

摘要：This paper presents the effect of the high voltage direct current (HVDC) transmission system based on voltage source converter (VSC) on the sub synchronous resonance (SSR) and low frequency oscillations (LFO) in power system. Also, a novel adaptive neural controller based on neural identifier is proposed for the HVDC which is capable of damping out LFO and sub synchronous oscillations (SSO). For comparison purposes, results of system based damping neural controller are compared with a lead-lag controller based on quantum particle swarm optimization (QPSO). It is shown that implementing adaptive damping controller not only improves the stability of power system but also can overcome drawbacks of conventional compensators with fixed parameters. In order to determine the most effective input of HVDC system to apply supplementary controller signal, analysis based on singular value decomposition is performed. To evaluate the performance of the proposed controller, transient simulations of detailed nonlinear system are considered.

摘要：本文首先介绍particle system在商业影片中的应用范围,接着通过在广告和片头CG中最常遇到的鱼群实例制作来深入了解粒子特效在此类效果中的运用。

摘要：本文引入模拟退火法,遗传算法和微粒群算法等三种常见的反分析算法,结合混凝土三维不稳定温度场的仿真计算理论,编制了相应的Fortran程序,并通过实例对这三种算法的可靠性和计算精度及效率进行了验证和对比。结果表明,微粒群算法反演效果最佳,模拟退火法反演精度最低。

摘要：数值模拟是微波器件研究和设计的重要手段。particle-In-Cell(PIC)是比较常用的数值模拟方法,Tech-X公司开发的基于PIC算法的VSim软件提供功能丰富的微波和THz器件中的电磁粒子仿真能力,可以用于微波和THz器件的性能优化、可靠性分析,也可用于复杂介质电磁特性研究。VSim软件提供电磁场和等离子体的演化过程结果以及等离子体的相图等参数,可使研究者深入了解器件的物理机制。

摘要：粒子特效在影视栏目包装以及广告制作中的应用极其广泛,它对视觉场景的表现力起着至关重要的作用。本文通过详细介绍AE软件中粒子插件particle playground制作动态方格特效的案例,以期对AE软件粒子插件的学习者有所帮助和启示。

摘要：电视片头和广告中经常看到出现下落的流星雨效果,它能够起到活跃气氛、加强节奏的作用。在此,我们用AE的particle Playground制作这种效果,操作简单,无须任何插件。

摘要：随着3dsMax软件功能逐步完善,内置的粒子系统在实现粒子碰撞模拟上有了新的突破,解决了三维动画难以实现特效的问题。为提高建筑倒塌特效的真实性和可控性,基于3dsMax particle Flow粒子系统,设计了混凝土、木料、砖块、玻璃等常用材料的破碎动画。通过反复测试,提炼出容积压裂方式和粒子流搭配方式。与传统粒子爆炸相比,particle Flow模拟的破碎效果更真实,拓展性高、可控性强,为实现大型建筑倒塌特效研究建立了理论基础,同时也为特效工作人员提供了一个有效手段。

摘要：IMM-PF算法巨大的计算量影响跟踪的实时性,IMM-UKF由于线性化误差使得精度不高。针对这些问题,本文在基于多普勒频率变化率的单站无源定位问题的基础上提出了一种改进的交互式多模型滤波算法(IMMEK-UKFPF),利用不同的模型匹配不同类型的滤波器,充分发挥了卡尔曼滤波和无迹卡尔曼滤波以及粒子滤波各自的优点。仿真结果表明该算法减少了跟踪定位所用时间,提高了计算效率,同时具有良好的跟踪性能和较强的鲁棒性。