ISG-FHEV等效燃油消耗最小控制策略

针对室内复杂环境下火灾识别准确率会降低的问题,提出了一种改进的粒子群算法优化支持向量机参数进行火灾火焰识别的方法。首先在 颜色空间进行火焰图像分割,对获得的火焰图像进行预处理并提取相关特征量;其次采用PSO算法搜索SVM的最优核参数和惩罚因子,并在PSO算法中加入变异操作和非线性动态调整惯性权值的方法,加快了搜索SVM最优参数的精度和速度;然后将提取的火焰各个特征量作为训练样本输入SVM模型进行训练,并建立参数优化后的SVM分类器模型;最后将待测试样本输入SVM模型进行分类识别。算法的火灾识别准确率达到94.09%,分类效果明显优于其他分类算法。仿真结果表明,改进的PSO优化SVM算法提高了火焰识别的准确率和实时性,算法的自适应性更强,误判率更低。     

带落角约束的导弹滑模制导控制一体化设计

为了提高导弹的制导精度和毁伤效果,研究了带有落角约束的空地导弹制导控制一体化设计问题。在俯仰平面内,将弹—目相对运动方程和导弹力学方程相结合,建立了导弹一体化模型。在此基础上,采用反演递推方法,设计了带有落角约束的导弹自适应滑模制导控制一体化算法,并对其进行了稳定性分析。针对所设计的控制律,在不同的机动目标下进行了仿真和对比分析。结果表明,导弹的脱靶量均小于1m,落角接近-90°,满足制导精度和末端落角约束条件。     

Passive-based adaptive control with the full-order observer for induction motor without speed sensor

The conventional linear control methods are difficult to meet the control requirements of high-performance speed regulation of asynchronous motor due to the nonlinear and multi-variable problems of induction motor. A passive-based control method of induction motor with the full-order state observer is proposed with the Euler–Lagrange equation of motion of the induction motor. Based on the relationship between passivity and stability of induction motor, the state feedback is used for torque and speed tracking. The full-order state observer is adopted with rotor current and rotor flux as state variables, and the adaptive speed controller is designed to realize the passive-based control. The experimental results show that the errors between the estimated value based on the proposed full-order observer and the actual value of rotor current, speed and flux are small; the speed with the proposed adaptive control can reach the expected value quickly. The proposed control method can effectively meet the high-performance requirements of induction motor.

     

Adaptive sliding mode control of uncertain chaotic systems with input nonlinearity

This paper is concerned with the stabilization problem of uncertain chaotic systems with input nonlinearity. The slope parameters of this nonlinearity are unmeasured. A new sliding function is designed, then an adaptive sliding mode controller is established such that the trajectory of the system converges to the sliding surface in a finite time and finite-time reachability is theoretically proved. Using a virtual state feedback control technique, sufficient condition for the asymptotic stability of sliding mode dynamics is derived via linear matrix inequality (LMI). Then the results can be extended to uncertain chaotic systems with disturbances and adaptive sliding mode H _∞ controllers are designed. Finally, a simulation example is presented to show the validity and advantage of the proposed method.     

基于路况预测的PHEV能量管理策略

为了提高插电式混合动力汽车(plug-in hybrid electric vehicle, PHEV)的燃油经济性,减少排放,提出了基于路况预测的PHEV能量管理策略;首先,建立PHEV系统结构并在此基础上依据动力电池SOC(State of charge)变化规律定义了3种PHEV基本工作模式;然后,设计路况识别模糊控制器对当前行驶路况进行识别并预测;最后,根据预测的路况类型结合合理规划的动力电池SOC的曲线约束,制定PHEV能量管理策略;仿真结果表明,该能量管理策略能够较好的使动力电池SOC保持在设定的参考轨迹附近,提高燃油经济性,减少排放。     

非对称扩散工艺制备近化学计量比钽酸锂晶体的研究

利用气相平衡输运法制备的近化学计量比钽酸锂晶体质量好,制备工艺简单,但受固体扩散速率低的影响,该方法较难制备大厚度晶体。本文基于钽酸锂晶体的扩散机制,采用待扩散晶片一侧为富锂气氛,另一侧为同成分气氛的非对称扩散工艺,对钽酸锂晶体进行了扩散处理,并对组分和畴反转电场进行表征。结果表明,非对称扩散工艺为反位钽离子的扩散提供了通道,提高了晶体中反位钽离子和锂离子的扩散速率,有利于制备大厚度近化学计量比钽酸锂晶体。     

Local stabilization for unstable bilinear systems with input saturation

This paper is concerned with local stabilization for unstable bilinear systems with input saturation. Given a prespecified polytope $\mathcal{P}$ of the state space containing the zero equilibrium point, a linear state feedback is designed to guarantee that the closed-loop system is asymptotically stable in $\mathcal{P}$ and $\mathcal{P}$ is enclosed in the domain of attraction of the zero equilibrium point. Such sufficient conditions are derived via linear matrix inequalities (LMIs). Finally, an example illustrates the effectiveness of the proposed method.