63kN·m船舶液压舵机的改造研究

文章针对现有63kN·m液压舵机的不足加以研究与改造，应用可编程控制器（PLC）和同轴流量放大器实现由人工舵改造为自动舵，建立PID自动舵动态模型，研究仿真结果，表明改造后液压舵机完全满足船舶航向控制要求。     

基于DSP的电空转换单元控制器

电空转换单元是新型微机直通式电空制动机的重要组成部分,也是空电联合制动的基础。文章介绍了以TMSLF2407ADSP为控制器的电空转换单元的工作原理,并完成了设计和实验室试验。试验表明该电空转换单元具有良好的线性特性和动态响应特性,能够满足列车制动机的需要。     

Robust control of anti-lock brake system

A robust control algorithm for an anti-lock brake system is proposed. The method used is based on static-state feedback of longitudinal slip and does not involve controller scheduling with changing vehicle speed or road adhesion coefficient estimation. An improvement involving scheduling of longitudinal slip reference with longitudinal acceleration measurement is included. Electromechanical braking actuators are used in simulations, and the algorithm used in this study is shown to have high performance on roads with constant and varying adhesion coefficients, displaying nice robustness properties against large vehicle speed and road adhesion coefficient variations. Guidelines are provided for tuning controller gains to cope with unknown actuator delay and measurement noise.     

混合动力汽车汽油机电子节气门模糊智能PID控制

应用英飞凌新一代车用嵌入式控制芯片XC164,开发了基于模糊智能积分PID复合控制算法的混合动力汽车汽油机电子节气门控制系统,为混合动力汽车主控制器和发动机控制之间提供了控制接口。通过对混合动力轿车进行的实际行驶中频繁急加速、急减速过程中电子节气门目标开度和实际控制开度的对比试验,验证了电子节气门控制响应速度快、稳态误差小及控制系统软硬件设计满足混合动力总成对发动机控制的要求。     

一种通用的自动舵PID参数快速检测方法的研究

以自动舵的基本控制原理为基础,在不拆解控制板的前提下快速获得可信的自动舵PID的参数,构建自动舵PID参数的快速检测的硬件环境,并通过比例参数、积分参数、微分参数的检测,证明该方法具有良好的通用性。     

非线性PID控制器在潜艇深度控制中的应用

基于潜艇垂直面非线性运动模型,模拟波浪干扰力和瞬间干扰力情况下潜艇的操纵运动;利用非线性PID控制技术、状态扩张技术(ESO),对潜艇深度变换进行控制,仿真表明,无论深度差异多大,控制器都能使得潜艇实现快速且零超调的深度变换控制。     

Dynamic charging infrastructure deployment for plug-in hybrid electric trucks

Inspired by the rapid development of charging-while-driving (CWD) technology, plans are ongoing in government agencies worldwide for the development of electrified road freight transportation systems through the deployment of dynamic charging lanes. This en route method for the charging of plug-in hybrid electric trucks is expected to supplement the more conventional charging technique, thus enabling significant reduction in fossil fuel consumption and pollutant emission from road freight transportation. In this study, we investigated the optimal deployment of dynamic charging lanes for plug-in hybrid electric trucks. First, we developed a multi-class multi-criteria user equilibrium model of the route choice behaviors of truck and passenger car drivers and the resultant equilibrium flow distributions. Considering that the developed user equilibrium model may have non-unique flow distributions, a robust deployment of dynamic charging lanes that optimizes the system performance under the worst-case flow distributions was targeted. The problem was formulated as a generalized semi-infinite min-max program, and a heuristic algorithm for solving it was proposed. This paper includes numerical examples that were used to demonstrate the application of the developed models and solution algorithms.     

智能温度控制系统

本文主要研究对特定空间(电阻炉)的温度进行高精度控制。电阻炉是一种具有纯滞后的大惯性系统,本文将模糊控制算法引入传统的加热炉控制系统构成智能模糊控制系统,利用模糊控制规则对PID参数进行修改,借此提高其控制效果。本文提出的基于模糊的自整定PID控制算法的控制系统控制精度高,对高质量热处理件的具有实际意义。     

基于参数自适应PID的船用阀门爆破片寿命试验机压力测试方法

文章设计的爆破片寿命试验机采用基于上下位机控制的气液增压技术实现爆破片测试压力的伺服控制。为满足气液增压爆破片压力控制这一非线性系统的控制精度要求,文章建立气液增压控制系统的数学模型,设计并应用一种基于模糊逻辑控制器以实现参数自适应调整的PID控制器。试验测试结果表明：爆破片寿命试验机不仅达到了设计要求,同时符合国家标准对阀门爆破片性能测试的相关规定,所建立的气液增压伺服系统数学模型对同类工程研究具有一定的指导意义。     

Model uncertainty and the management of a system of infrastructure facilities

The network-level infrastructure management problem involves selecting and scheduling maintenance, repair, and rehabilitation (MR&R) activities on networks of infrastructure facilities so as to maintain the level of service provided by the network in a cost-effective manner. This problem is frequently formulated as a Markov decision problem (MDP) solved via linear programming (LP). The conditions of facilities are represented by elements of discrete condition rating sets, and transition probabilities are employed to describe deterioration processes. Epistemic and parametric uncertainties not considered within the standard MDP/LP framework are associated with the transition probabilities used in infrastructure management optimization routines. This paper contrasts the expected costs incurred when model uncertainty is ignored with those incurred when this uncertainty is explicitly considered using robust optimization. A case study involving a network-level pavement management MDP/LP problem demonstrates how explicitly considering uncertainty may limit worst-case MR&R expenditures. The methods and results can also be used to identify the costs of uncertainty in transition probability matrices used in infrastructure management systems.