基于SPWM的采样法优化

论述了SPWM控制原理及目前广泛应用的几种采样方法,对比分析了这几种采样方法的优缺点.提出了基于比例计算进行采样的不对称优化规则采样法,使脉冲宽度较传统采样方法更接近于自然采样.基于不对称优化规则采样法,应用dsPIC30F3011控制三相ACIM进行试验验证.试验结果表明,采用此采样法控制电机,可靠性好,抗干扰能力强,电机运转更加平稳,有较大的应用价值.     

复合材料层压板疲劳寿命预测方法

测定了碳纤维／树脂基T300／QY8911复合材料的3组典型单轴循环应力下的S-N曲线．基于试验数据，建立了多轴循环应力作用下单向板的寿命模型，并通过整合平面应力分析、失效分析和材料性质退化模块模拟多向层压板的疲劳失效过程．这种方法试图基于单向板在确定应力比下的疲劳试验结果，预测同种材料体系的任意铺层形式的多向层压板在复杂循环应力作用下的疲劳寿命．对于以分层破坏为主控因素的层压板，基于层间应力的计算结果，用计算面内累计损伤的方法计算分层损伤，层压板的寿命等于分层扩展寿命和分层后子层板剩余寿命之和．考虑分层扩展后，层压板的寿命预测结果得到明显改善．     

基于空间群P3对称性的一种新型三维编织材料

用点群S₆ 对应的对称操作推导出一种新的三维编织几何结构单胞. 根据空间群 P3 描述的对称性, 对新的单胞进行对称变换获得了一种新的三维编织几何结构, 研究 了这种三维编织几何结构可行的编织工艺. 通过建立其几何分析模型, 预测了对应三 维编织材料的纤维体积百分含量及其变化趋势.     

Learning-based force servoing control of a robot with vision in an unknown environment

A learning-based control approach is presented for force servoing of a robot with vision in an unknown environment. Firstly, mapping relationships between image features of the servoing object and the joint angles of the robot are derived and learned by a neural network. Secondly, a learning controller based on the neural network is designed for the robot to trace the object. Thirdly, a discrete time impedance control law is obtained for the force servoing of the robot, the on-line learning algorithms for three neural networks are developed to adjust the impedance parameters of the robot in the unknown environment. Lastly, wiping experiments are carried out by using a 6 DOF industrial robot with a CCD camera and a force/torque sensor in its end effector, and the experimental results confirm the effecti veness of the approach.     

Robust stability test for 2-D continuous-discrete systems with interval parameters

It is revealed that the dynamic stability of 2-D recursive continuous-discrete systems with interval parameters involves the problem of robust Hurwitz-Schur stability of bivariate polynomials family. It is proved that the Hurwitz-Schur stability of the denominator polynomials of the systems is necessary and sufficient for the asymptotic stability of the 2-D hybrid systems. The 2-D hybrid transformation, i. e. 2-D Laplace-Z transformation, has been proposed to solve the stability analysis of the 2-D continuous-discrete systems, to get the 2-D hybrid transfer functions of the systems. The edge test for the Hurwitz-Schur stability of interval bivariate polynomials is introduced. The Hurwitz-Schur stability of the interval family of 2-D polynomials can be guaranteed by the stability of its finite edge polynomials of the family. An algorithm about the stability test of edge polynomials is given.     

Atomic and efficient e-cash transaction protocol

Atomicity is necessary for reliable and secure electronic commerce transaction and to guarantee the participants' interests. An atomic and efficient e-cash (electronic cash) transaction protocol based on the classical e-cash scheme is presented. The delivery of digital goods is incorporated into the process of payment in the protocol. Apart from ensuring all three levels of atomicity, the novel protocol features high efficiency and practicability with unfavorable strong assumption removed. Furthermore, the proposed protocol provides non-repudiation proofs for any future disputes. At last, analysis of the atomicity and efficiency is illustrated.     

Cooperative Mechanism of Supply Chain Under Asymmetric Information

Abstract: The cooperative mechanism is one main issue in the decentralized supply chain system, especially in an asym-metric information structure. We analyze the non-cooperative game behavior of a 2-echelon distribution supply chain,compare the results with the system optimal solution, and give the supplier dominated cooperative mechanisms. We alsoanalyze the validity of our contract under the asymmetric retailers' holding cost information and give some useful conclu-sions.     

A Target Recognition Approach to Projecting HRR Profiles onto Subspace

Abstract: A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixesare constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Takingthe methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Where-upon, a template library for target recognition is built by the projection of a class-mean vector made from the radar dataonto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and eachtemplate in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar dataarte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noisewhen SNR≥5dB.     

An Evolutionary Real-Time 3D Route Planner for Aircraft

Abstract: A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candi-dates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By usingproblem-specific chromosome structure and genetic operators, the routes are generated in real time, with different missionconstraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving an-gle and route distance constraint taken into account.     

Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.