基于Matlab和组态王的多步温度预测控制

介绍以PCT-III型过程控制设备为对象,以Matlab和组态王软件为平台,实现在线多步温度预测控制实验。用Matlab来完成复杂的算法的计算任务,用组态王工控软件实现友好的用户界面。二者通过DDE协议进行数据交换。把多步预测控制这种先进的控制算法方便地应用到工业控制当中去。     

CRH_3型高速动车组整流器预测电流控制仿真研究

对CRH3型高速动车组牵引传动系统采用的四象限整流器,在分析了其基本原理及其控制策略的基础上,利用Matlab/Simulink建立了一种基于预测电流控制方法的四象限脉冲整流器的仿真模型。仿真结果表明,预测电流控制方法可以保持中间直流环节电压的稳定输出,实现调压稳压的功能,并且网侧功率因数近似等于1,谐波含量较小。     

砂堤的荷载与稳定性分析

结合福州闽江橘园洲砂堤工程 ,详细分析了砂堤受到的各项荷载 ,研究了反向渗流力对砂堤稳定安全系数的影响 ,结果说明 ,反向渗流力对稳定所起的作用有时是相当可观的。本文通过大量计算 ,探讨了在几种情况下反向渗流力对稳定安全系数的影响 ,结果显示强度指标组合、坡比对反向渗流力所起作用的程度影响不明显 ,而上、下游水位差成为显著的影响因素。当水位差与堤身高度的比例到 70 %时 ,考虑反向渗流力将使安全系数提高 2 5 %以上     

Model based urban traffic control,part II: Coordinated model predictive controllers

The present paper describes how to use coordination between neighbouring intersections in order to improve the performance of urban traffic controllers. Both the local MPC (LMPC) introduced in the companion paper (Hao et al., 2018) and the coordinated MPC (CMPC) introduced in this paper use the urban cell transmission model (UCTM) (Hao et al., 2018) in order to predict the average delay of vehicles in the upstream links of each intersection, for different scenarios of switching times of the traffic lights at that intersection. The feedback controller selects the next switching times of the traffic light corresponding to the shortest predicted average delay. While the local MPC (Hao et al., 2018) only uses local measurements of traffic in the links connected to the intersection in comparing the performance of different scenarios, the CMPC approach improves the accuracy of the performance predictions by allowing a control agent to exchange information about planned switching times with control agents at all neighbouring intersections. Compared to local MPC the offline information on average flow rates from neighbouring intersections is replaced in coordinated MPC by additional online information on when the neighbouring intersections plan to send vehicles to the intersection under control. To achieve good coordination planned switching times should not change too often, hence a cost for changing planned schedules from one decision time to the next decision time is added to the cost function. In order to improve the stability properties of CMPC a prediction of the sum of squared queue sizes is used whenever some downstream queues of an intersection become too long. Only scenarios that decrease this sum of squares of local queues are considered for possible implementation. This stabilization criterion is shown experimentally to further improve the performance of our controller. In particular it leads to a significant reduction of the queues that build up at the edges of the traffic region under control. We compare via simulation the average delay of vehicles travelling on a simple 4 by 4 Manhattan grid, for traffic lights with pre-timed control, traffic lights using the local MPC controller (Hao et al., 2018), and coordinated MPC (with and without the stabilizing condition). These simulations show that the proposed CMPC achieves a significant reduction in delay for different traffic conditions in comparison to these other strategies.     

Achieving transport modal split targets at intermodal freight hubs using a model predictive approach

The increase of international freight commerce is creating pressure on the existing transport network. Cooperation between the different transport parties (e.g., terminal managers, forwarders and transport providers) is required to increase the network throughput using the same infrastructure. The intermodal hubs are locations where cargo is stored and can switch transport modality while approaching the final destination. Decisions regarding cargo assignment are based on cargo properties. Cargo properties can be fixed (e.g., destination, volume, weight) or time varying (remaining time until due time or goods expiration date). The intermodal hub manager, with access to certain cargo information, can promote cooperation with and among different transport providers that pick up and deliver cargo at the hub. In this paper, cargo evolution at intermodal hubs is modeled based on a mass balance, taking into account hub cargo inflows and outflows, plus an update of the remaining time until cargo due time. Using this model, written in a state-space representation, we propose a model predictive approach to address the Modal Split Aware – Cargo Assignment Problem (MSA–CAP). The MSA–CAP concerns the cargo assignment to the available transport capacity such that the final destination can be reached on time while taking into consideration the transport modality used. The model predictive approach can anticipate cargo peaks at the hub and assigns cargo in advance, following a push of cargo towards the final destination approach. Through the addition of a modal split constraint it is possible to guide the daily cargo assignment to achieve a transport modal split target over a defined period of time. Numerical experiments illustrate the validity of these statements.     

A receding horizon sliding control approach for electric powertrains with backlash and flexible half-shafts

Active control of electric powertrains is challenging, due to the fact that backlash and structural flexibility in transmission components can cause severe performance degradation or even instability of the control system. Furthermore, high impact forces in transmissions reduce driving comfort and possibly lead to damage of the mechanical elements in contact. In this paper, a nonlinear electric powertrain is modelled as a piecewise affine (PWA) system. The novel receding horizon sliding control (RHSC) idea is extended to constrained PWA systems and utilised to systematically address the active control problem for electric powertrains. Simulations are conducted in Matlab/Simulink in conjunction with the high fidelity Carsim software. RHSC shows superior jerk suppression and target wheel speed tracking performance as well as reduced computational cost over classical model predictive control (MPC). This indicates the newly proposed RHSC is an effective method to address the active control problem for electric powertrains.     

水泥稳定碎石基层的病害及防治措施

对水泥稳定碎石基层的裂缝、离析、平整度差等常见病害的产生原因进行了分析,并提出了相应的防治措施,以保证水稳碎石基层的正常使用功能。     

基于模型预测控制的智能车横纵向控制器设计

针对智能车横纵向控制中路径跟踪精度、行驶稳定性以及乘坐舒适性等问题,提出了基于模型预测控制(MPC)的横纵向综合控制方法.速度规则系统根据参考路径曲率与车辆跟踪位移误差计算出期望速度曲线,速度跟踪控制采用分层式控制器,上层控制器利用MPC算法计算期望加速度,下层控制器利用车辆逆纵向动力学模型对车辆的驱动和制动进行协调控...     

基于模型预测控制的智能车轨迹跟踪控制研究

为了完成智能车的轨迹跟踪,提出一种基于模型预测控制的轨迹跟踪方法,利用将运动学模型这个非线性系统线性化的方案,来获得必须的线性时变系统,采取模型预测控制的三要素来设计控制器。并且基于MPC在控制过程中能增加多种约束的优点,建立基于车辆运动学模型的约束做轨迹跟踪仿真实验,最后,基于山东理工大学智能车平台上GPS提供的定位信息,在校园中采集路线并对前提规划好的的轨迹进行实车验证。实验结果表明:基于MPC算法所设计的控制器能快速且稳定地跟踪期望轨迹。     

船舶舵鳍联合减摇模糊变结构控制研究

分析了船舶运动的非线性模型,根据实际情况进行假设,得到了船舶舵鳍联合减摇控制系统的状态方程,把非线性船舶舵鳍联合控制模型转化为可控正则型;将船舶运动模型看作是由横摇、艏摇、横荡3个子系统构成的大系统,进行了舵鳍联合控制,设计了舵鳍联合控制器和分散非线性变结构控制器,为了改善控制的品质,又进一步提出了模糊趋近律变结构控制的方法,最后针对减摇控制器进行了MATLAB仿真研究。仿真结果表明:舵鳍联合控制器能够很好的抑制船舶的横摇和艏摇,并能尽可能的减小横荡。