中压共轨系统油压控制中PID参数的整定方法

简要介绍了一种柴油机液力中压共轨系统的构成。在系统共轨管油压控制中引入遇限制削弱积分法,采样周期是从试验测出的阶跃响应曲线获取的,并考虑诸多的影响因素。采用正交试验方法安排试验来整定共轨油压PID参数,并用极差方法分析试验结果,从而获取PID参数的影响主次、影响规律及相互间的关系,最终获得某一工况下的PID最优参数。     

自寻优模糊PID控制器的设计与仿真

本文分析了带单个和多个自调整因子的模糊控制器的优缺点,决定采用修正因子自寻优的模糊ＰＩＤ控制器,它能在系统控制过程中对修正因子进行实时自寻优,以实现控制规则的自调整和自完善,达到提高控制系统品质的目的。     

基于模糊自适应PID的客车电控空气悬架车高调节控制策略研究

电控空气悬架能够根据客车行驶工况进行车身高度自适应调节,从而能够显著提升客车行驶稳定性以及燃油经济性,车高调节控制设计具有重要意义。文章利用模糊PID控制算法对车身高度调节进行控制策略设计,有效缓解了客车电控空气悬架车高调节过程中存在的空气弹簧的“过充”“过放”及“振荡”等问题,分析客车电控空气悬架车高调节具体过程,建立包括车身、储气罐、电磁阀以及空气弹簧等在内的车高调节系统数学模型,最后完成了客车电控空气悬架车高调节模糊自适应PID控制策略设计及性能仿真验证。研究结果表明,所运用的模糊自适应PID控制策略能够完成客车电控空气悬架车身高度的准确调节。     

非正态分布的汽车半轴凸缘的可靠性稳健设计

将可靠性优化设计理论、可靠性灵敏度分析技术与稳健设计方法相结合,讨论了随机参数服从非正态分布汽车半轴凸缘的可靠性稳健设计问题,提出了可靠性稳健优化设计的计算方法。把可靠性灵敏度溶入可靠性优化设计模型之中,将可靠性稳健设计归结为满足可靠性要求的多目标优化问题。     

模糊自适应PID控制器及Simulink仿真实现

常规PID控制对非线性、时变系统的控制效果不是很理想,文章提出将模糊技术与PID控制相结合的控制方式,即模糊自适应PID控制器,并结合实例在Simulink环境中实现了该模糊自适应PID控制器的仿真。仿真结果表明,该模糊自适应PID控制具有控制灵活、响应快和适应性能强的优点。     

基于数字伺服控制的电控罗经设计及仿真

本电控罗经采用数字伺服控制方案来取代传统的模拟伺服控制方案,将微处理机引入控制系统,可以克服系统调试困难的缺点,具有实现复杂计算和现代化控制算法的能力。设计了基于PID控制的静基座和摇摆基座下电控罗经的控制算法,运用Simulink进行建模和仿真,并通过实际转台测试实验得出,所设计的数字伺服控制电控罗经在摇摆实验环境下,稳定时间为1.8h,罗经的稳态误差为0.5 °,满足设计预期指标和国际标准要求。     

Achieving sustainable development of supply chain by incorporating various carbon regulatory mechanisms

Nowadays, sustainability issues have received considerable attention in supply chain management because of the governmental requirements as well as expectations of the people. This paper introduces a novel supply chain network design problem to cover three dimensions of sustainability, namely economic, environmental, and social. The advantage of the presented model stems from considering the booming development aligned with reduction in environmental impact. In this paper, to achieve the mentioned benefits and to derive a more sustainable supply chain, a novel model in the presence of the most commonly used carbon policies is proposed. This paper, addresses sustainable development through imposing proper carbon regulatory mechanisms. Main contribution of this study is to consider the effect of imposing carbon policies on environmental advantages as well as improving the regional development level in a supply chain network design problem. Moreover, the shipment consolidation decisions are utilized to reduce cost as well as environmental impact. In addition, a novel mixed uncertainty approach is proposed to capture the uncertain emission parameters. The numerical examples and a case study are analyzed to evaluate the performance of the proposed models. It is concluded that, a high-growth economy with low-carbon can be made and also almost global well-being of people is ensured by applying the proposed model. Some managerial insights are provided for the enterprises of supply chains to make the most appropriate sustainable decisions. Finally, proper carbon emission policies are suggested based on the region sustainability characteristics.     

Robust optimization of distance-based tolls in a network considering stochastic day to day dynamics

This paper investigates the nonlinear distance-based congestion pricing in a network considering stochastic day-to-day dynamics. After an implementation/adjustment of a congestion pricing scheme, the network flows in a certain period of days are not on an equilibrium state, thus it is problematic to take the equilibrium-based indexes as the pricing objective. Therefore, the concept of robust optimization is taken for the congestion toll determination problem, which takes into account the network performance of each day. First, a minimax model which minimizes the maximum regret on each day is proposed. Taking as a constraint of the minimax model, a path-based day to day dynamics model under stochastic user equilibrium (SUE) constraints is discussed in this paper. It is difficult to solve this minimax model by exact algorithms because of the implicity of the flow map function. Hence, a two-phase artificial bee colony algorithm is developed to solve the proposed minimax regret model, of which the first phase solves the minimal expected total travel cost for each day and the second phase handles the minimax robust optimization problem. Finally, a numerical example is conducted to validate the proposed models and methods.     

基于变频控制的船舶中央冷却水系统优化设计

船舶中央冷却水系统中的主要耗能设备为冷却海水泵。文章通过分析传统中央冷却水系统的能耗,从节约电能的角度介绍海水泵采用变频技术结合温度控制器(PID)和微机原理控制两种方式后对中央冷却水系统产生的影响,并将两种系统进行对比之后选出更加符合实际应用要求的中央冷却水系统,验证了对海水泵采用变频技术在降低船舶营运能耗和提高经济性方面的重要意义。     

船舶主柴油机缸套冷却水出口温度的智能控制

利用传热学的有关理论,对船舶主柴油机缸套冷却水系统的传热机理进行了分析,给出了船舶主柴油机缸套冷却水系统的动态热力数学模型,并将基于神经网络的模糊PID控制引入到缸套冷却水出口温度控制系统中,以实现对对象进行在线控制.仿真结果表明,基于神经网络的模糊PID自适应控制比传统的PID控制的控制性能更好,而且前者具备适应控制环境变化的能力和自学习能力,当主机运行工况发生变化时,仍具有很好的控制性能.