A new anti‐windup strategy for PID controllers with derivative filters

This paper presents a new strategy for suppressing the windup effect caused by actuator saturation in proportional–integral–derivative (PID) controlled systems. In the proposed approach, the windup effect is modeled as an external disturbance imported to the PID controller and an observer‐based auxiliary controller is designed to minimize the difference between the controller output signal and the system input signal in accordance with an H‐infinite optimization criterion. It is shown that the proposed anti‐windup (AW) scheme renders the performance of the controlled system more robust toward the effects of windup than conventional PID AW schemes and provides a better noise rejection capability. In addition, the proposed PID AW scheme is system independent and is an explicit function of the parameters of the original PID controller. As a result, the controller is easily implemented using either digital or analog circuits and facilitates a rapid, on‐line tuning of the controller parameters as required in order to prevent the windup effect. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

Hysteresis Compensation and Adaptive Controller Design for a Piezoceramic Actuator System in Atomic Force Microscopy

This paper presents an indirect adaptive controller combined with hysteresis compensation to achieve high accuracy positioning control of piezoceramic actuators and illustrates the results with an atomic force microscope (AFM) application. A dynamic model of a piezoceramic actuator system in AFM is derived and analyzed. A feedforward controller based on the Preisach model is proposed to compensate for the nonlinear hysteresis effects. Then an indirect adaptive controller is designed to achieve desired tracking performance as well as deal with the uncompensated nonlinearity from hysteresis and the system parameter variation due to creep. Experimental results indicate that the proposed controller can significantly improve the positioning control accuracy of the piezoceramic actuator as well as achieve high image quality of the AFM system. The maximum scanning error was reduced from 2µm to 0.3µm in comparison with a proportional‐integral‐derivative (PID) controller. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

An on-line learning neural controller for helicopters performing highly nonlinear maneuvers

This paper presents an on-line learning adaptive neural control scheme for helicopters performing highly nonlinear maneuvers. The online learning adaptive neural controller compensates the nonlinearities in the system and uncertainties in the modeling of the dynamics to provide the desired performance. The control strategy uses a neural controller aiding an existing conventional controller. The neural controller is based on a online learning dynamic radial basis function network, which uses a Lyapunov based on-line parameter update rule integrated with a neuron growth and pruning criteria. The online learning dynamic radial basis function network does not require a priori training and also it develops a compact network for implementation. The proposed adaptive law provides necessary global stability and better tracking performance. Simulation studies have been carried-out using a nonlinear (desktop) simulation model similar to that of a BO105 helicopter. The performances of the proposed adaptive controller clearly shows that it is very effective when the helicopter is performing highly nonlinear maneuvers. Finally, the robustness of the controller has been evaluated using the attitude quickness parameters (handling quality index) at different speed and flight conditions. The results indicate that the proposed online learning neural controller adapts faster and provides the necessary tracking performance for the helicopter executing highly nonlinear maneuvers.     

基于PR控制器的直接转矩控制策略研究

针对传统直接转矩控制中采用开关表控制造成转矩和电流脉动,以及传统调节器不能实现对交流输入信号的无静差控制等问题,基于电机空间电压矢量的转矩和磁链2个分量解耦的控制方式和PR控制器能够在静止坐标系下实现对交流输入信号的无静差控制,将PR控制器用于永磁同步电机的直接转矩控制中,并由此设计出磁链和转矩的双PR控制器。同时,在定子磁链的观测中,采用基于转子位置和定子电流的新型定子磁链估计方法。试验结果证明,将PR控制器对交流输入信号的无静差跟踪特性应用于基于空间电压矢量调制的直接转矩控制中,系统能获得优良的动态和静态响应,取得了显著的应用成效,由此验证了所提方法的正确性和可行性。     

基于西门子S7-300 PLC装卸机械自控系统设计

主要介绍了装卸机械控制系统的构成、系统在运行过程中的控制要求、以及如何实现机械自动操作的功能,利用S7-300PLC的功能模块化程序设计思想,设计出手动控制逻辑功能和自动控制逻辑功能及组织块程序,大大提高了工作效率和生产安全性。     

燃煤锅炉供热系统的模糊控制

介绍燃煤锅炉供热系统的自动化节能模糊控制方案,燃煤锅炉供热系统是一个大惯性的滞后系统,传统的单纯PID控制效果不理想,而基于工人熟练的经验和专家知识的模糊控制能够达到比较好的效果。系统中对控制参考量水温和炉膛负压这两个输入量模糊化处理,由控制规则推出输出模糊子集,再应用模糊推理合成规则得出PID的系数,PID控制器根据输出量来控制鼓风机、引风机、炉排电机和水泵的变频器。     

一种简化的三维模糊制器

针对三维模糊控制器规则多,结构复杂,难以实现的问题,提出了一种简化的三维模糊控制器。该方法是把三个输入量分别为偏差、偏差变化、偏差的偏差变化的一维模糊控制器加权融合实现简化的三维模糊控制器。并提出了根据不同类型的被控对象设置三个加权系数。加权系数具有粗调、细调和微调的作用,类似于传统PID调节器的比例、积分和微分,实现对系统静差的消除。     

以太网的列车通信网络主控设备性能监控

针对列车通信网络(TCN)中的主控设备,设计开发了一套网络监控系统。系统基于以太网方式实现上位机与主控设备的通信连接,采用多线程技术、优先级和时间片轮转调度相结合的多任务技术、看门狗定时机制以及数据缓冲队列等手段实现了控制命令的快速响应和多组监控数据的实时并行传输与处理。重点研究了上位机与主控设备的数据传输与处理方式、多线程和多任务间的逻辑控制与调度,以及提高系统实时性和可靠性的问题。     

无线技术在企业园区网中的应用

通过介绍企业园区网楼宇多、广场多、楼宇间距大的特点,针对性的详细介绍了公司新址园区网建设项目需使用无线网络接入才能实现在园区任何地方任何时间任何人都可以进行网上办公,详细介绍了公司园区网无线接入的规划和方案,并对园区网络项目实施过程中的技术难点进行了分析给出了解决方案。论证了此项迁移技术是值得推广能解决企业实际问题的成熟技术并预测无线终将大规模在企业网中使用。     

某型航空发动机燃油调节器改型设计研究

航空推进系统仿真技术在发动机预研和型号研制中具有重要的作用。某型现役飞机飞行高度增加,需对其燃油调节器进行改型设计,而关于航空发动机燃油调节仿真的问题,大多数是以传递函数及插值表等形式来描述的,计算量大,物理意义不直观,仿真效果不明显。针对以上不足,在对某型发动机燃油调节器的组成、功能、工作原理进行了详细分析的基础上,以流量连续方程及力平衡方程为基础,结合Adaptive Simpson积分方法,基于AMEsim仿真软件,采用图形化时域仿真建模方式建立了相关部件的数学模型,对其高空工作特性进行了仿真分析。结果表明,保证了发动机的正常工作,为燃油调节器的设计与改进提供了依据。