基矛模糊控制的水下潜器沉浮控制方法

针对水下潜器实际工作的需求和水下沉浮运动特征,提出一种基于自适应模糊控制的水下潜器自主沉浮控制方法。该方法从优化隶属函数入手,采用多层前向神经网络的误差反向传播（EBP）算法对它的参数进行在线修正．并采用Delta—Bar—Delta学习规则对学习速率进行在线调整,使EBP算法具有较快的收敛速度,同时避免了局部极小值问题。仿真实验表明,对于水下潜器自主沉浮运动的不能精确建摸、干扰严重的非线性与时变情况,这种自适应模糊控制是一种较好的控制方式。     

基于模糊PID算法的电阻炉温度控制系统设计

以单片机为主体,设计一个能处理较复杂数据和控制功能的电加热炉温度控制系统.该系统具有自动检测、数据实时采集、处理及控制结果显示、打印等功能.软件采用模糊控制算法.自适应在线修改PID参数,构成模糊自整定,结合了模糊控制快速性,保持较小超调量的优点和PID控制方法成熟,可消除稳态误差.     

基于BP神经网络的模糊PID控制器的设计

工业过程控制中广泛采用PID控制,但传统PID控制因其控制参数的固定,在线整定难等问题。为此本文研究了一种新的自适应模糊PID控制方法,为了解决模糊推理没有学习能力的问题,本文又提出了一种基于BP神经网络的自适应模糊控制方法。此方法是模糊控制、神经网络和PID控制的有效结合。仿真实验表明,这种基于BP神经网络的模糊PID控制算法具有良好的控制效果。     

复杂涌流下水下自主航行器横滚抑制控制仿真

在复杂的海洋涌流背景下,水下自主推进航行器受到扰动较大,出现横滚导致控制稳定性下降,提出一种基于模糊PID扰动抑制的复杂涌流下水下自主航行器横滚抑制算法.构建在复杂涌流下的水下自主航行器运动状态模型,在航行器的纵向运动全包线内对横舵角、横滚角、回旋角等运动约束参量进行定常运动分析,采用模糊PID神经网络控制模型进行控制律的改进设计,结合Lyapunov稳定性原理进行横滚抑制和误差修正,实现控制算法改进.仿真结果表明,采用该控制算法进行复杂涌流下水下自主航行器横滚抑制控制,具有较好的输出响应跟踪性能,有效抑制横滚,提高了水下自主航行器的稳定控制能力,鲁棒性较好.     

基于基因算法的模糊控制研究

本文提出一种基于基因算法优化的自学习模糊控制器的设计.研究基因算法理论对模糊控制参数的全局寻优.出于对硬件实现的考虑,集中讨论了控制规则后件的产生及对规则库的动态学习,并采用对传统基因算法进行变化后的计算方法.使用Matlab中的仿真工具Simulink,对倒立摆典型非线性系统进行了在线模拟,证实了所提出的控制算法的有效性和适用性,为进一步的硬件芯片实现的可行性提供了有价值的理论基础.     

基于磁罗盘、DVL及GPS的组合导航系统设计

针对水下潜器导航定位系统成本昂贵且水下定位精度不高的问题,设计了一种基于磁罗盘、多普勒测速仪(DVL)及全球卫星定位系统(GPS)的低成本组合导航系统。采用分段线性插值拟合补偿法及声速补偿法,对磁罗盘和多普勒测速仪进行校准及补偿,提高了单个导航设备的精度。最后通过卡尔曼滤波进行数据融合,提高了整个导航系统的精度,实现了水下潜器的精确导航。     

AUV方向和深度控制研究

AUV需要在各种水下不利环境下展现其性能,在各种复杂的海洋环境下具备高度的智能化,因此,对它的控制面临许多困难和挑战。此外,AUV的运动状态非常不规则,航行时会受到水动力学等许多不确定的外部干扰。为了对AUV进行精确的水下跟踪定位,必须设计一种新型的导航和深度控制系统。本文设计了两种控制系统:第一种是线性的,使用标准PID技术,而第二种是非线性的,采用自适应方法文中研究了自适应控制系统在水下航行器不规则运动模型的应用,仿真结果表明,非线性模式的控制系统比常规的PID方法具有更好的控制性能。     

基于模糊PID算法的电阻炉温度控制系统设计

以单片机为主体,设计一个能处理较复杂数据和控制功能的电加热炉温度控制系统。该系统具有自动检测、数据实时采集、处理及控制结果显示、打印等功能。软件采用模糊控制算法,自适应在线修改PID参数,构成模糊自整定,结合了模糊控制快速性,保持较小超调量的优点和PID控制方法成熟,可消除稳态误差。     

单体模糊神经网络自学习问题研究

本文采用的单体模糊神经网络在智能控制中兼有模糊控制与人工神经网络控制的特点，不仅具有良好的控制特性，而且能够进行模型自学习和在线自调整。结合本身结构，人工神经网络理论和模糊理论，可得到ＭＦＮＮｓ自学习的一系列算法。     

一种智能PID控制在中央空调冷冻水系统中的仿真研究

中央空调冷冻水系统属于典型的复杂非线性系统,常规PID控制难以达到满意的控制效果。本文在研究模糊控制及粒子群优化算法的基础上,结合模糊控制技术、PID控制技术、粒子群优化算法各自的优势,提出了一种新的模糊自适应PID控制策略。最后运用MATLAB软件对控制系统进行仿真。仿真研究表明,这种方法调节精度较高,调节迅速,超调小,具有很好的控制效果。     

水泥配料控制中控制算法的研究

配料是水泥生产过程的重要环节,在一些连续称量配料工艺过程中,以往大多通过控制每种物料的瞬时流量来满足工艺要求,但往往误差较大,给生产带来不良影响。为提高控制精度,提出了一种偏差加权累积量控制PID算法,并在水泥生料配料控制中进行了实施,实验结果表明该算法能有效地抑制和消除系统过量超调和不停振荡,且对于某些不要求每个瞬时值都控制给定值的量,该算法可以避免调节阀的频繁动作并大大提高调节品质。偏差加权累积的PID控制算法具有简单、方便、易于实现的特点,且在水泥生料配料控制中取得了理想的效果,有很好的推广前景。     

Adaptive ABR congestion control with active buffer control

ATM Forum has defined that the ABR service is designed mainly for data traffic. The design of a simple and efficient congestion control scheme is a problem that network managers have to face. In this paper, we propose a control scheme for ABR service for better scalability and response. The scheme uses both the load level and an increase in queue length to detect the presence of congestion. Continuous control functions are designed for the bandwidth allocation. A better buffer control is achieved by incorporating the percentage of buffer occupancy into the control function. All of the control functions are designed in such a way that they are sensitive to the change of the system states when they are far from the optimal level to get a fast response, but insensitive and change slowly when the states are close to the optimal level to keep the system around the steady state. Our simulation results show that the algorithm is fair to all the connections and it converges fast when the network's condition changes. Copyright © 2001 John Wiley & Sons, Ltd.     

模糊PID控制在锅炉燃烧系统中的应用

针对目前锅炉存在的能耗高、燃烧不完全、污染环境、热效率低的缺点,设计了一种新型锅炉燃烧系统.该系统采用PID串级和Vague集分时控制,有效地提高了锅炉控制质量.     

Suboptimal digital control systems with bounded control inputs

Bounds on the control inputs to a linear system are dealt with in a manner suitable for online computer control. The method guarantees that for r control inputs the constrained optimum will be located in, at most, r steps.     

Content-based deep communication control for networked control system

In smart cities, the networked control system plays a significant role in transportation systems, power stations or other critical infrastructures, and it is facing many security issues. From this point, this paper proposes a content-based deep communication control approach to guarantee its security. Based on the layer architecture, this approach analyzes the interactive content in depth according to different industrial communication protocols, and implements the access control between two distinct enclaves. For OPC Classic, we acquire the dynamic port provided by OPC server, and open a new connection belonging to this port; for Modbus/TCP, we not only analyze the ordinary function codes and addresses, but also check the register or coil values by using the multi-bit Trie-tree matching algorithm. Besides, the white-listing strategy is introduced to satisfy the special requirements of industrial communication. Our experiment results show that, on the one hand the proposed approach provides OPC and Modbus/TCP defenses in depth; on the other hand it has less than 1 ms forwarding latency and 0 packet loss rate when the rule number reaches 200, and all these meet the availability requirements in the networked control system. In particular, this approach has been successfully applied in several real-world petrochemical control systems.     

基于自适应模糊理论的某型无人机起飞控制方法

基于合理简化的无人机纵向模型,设计了一种自适应模糊控制器,该控制器将Takagi-Sugeno模糊系统与等效控制器相结合,以增强系统的鲁棒性.只要求预先知道系统的相对阶以及未知函数的上下界即可,不需要精确的数学模型.Lyapunov合成方法证明了跟踪误差能趋近于零且其余的控制信号均有界.最后,结合优先级按比例分配的控制分配器,给出了存在扰动情况下飞行控制系统的仿真结果,表明即使在模型部分未知的情况下,该系统仍然能够达到飞行控制的指标性能和品质要求,验证了该方法的有效性.     

基于TRICON控制系统防喘振控制算法

喘振是造成压缩机损坏的重要原因,在此针对某厂70万吨/年烯烃项目,根据丙烯工艺流程,设计了一套压缩机的防喘振控制系统。该控制系统以TRIEW软件为人机界面,利用TRICON独有的防喘振控制软件包,将喘振PID控制、喘振超驰、手动控制算法相结合,通过喘振PID参数的在线优化,有效地实现了压缩机的防喘振控制,现场实际运行结果表明了该系统的稳定性和可靠性,同时,验证了该喘振控制算法的有效性。     

Modeling and control for smart Mesoflap aeroelastic control

This paper introduces a novel concept termed Smart Mesoflaps for Aeroelastic Recirculation Transpiration (SMART) to render mass and momentum transfer for controlling shock/boundary-layer interactions in supersonic jet inlets. The SMART concept consists of a matrix of small flaps designed to undergo local aeroelastic deflection to achieve proper mass bleed or injection when subjected to shock loads. To optimize the performance of this system, NiTi shape memory alloy is used as an actuator for the flaps to control the amount of recirculation. The focus of this paper will be the subsystem modeling and control of a single flap. After a relatively detailed model is developed, a simpler model is generated, and it is experimentally shown that this approximation is adequate for control purposes. Next, the control strategy for this subsystem, subject to hysteresis and actuator saturation, is presented. A basic proportional integral derivative (PID) controller is enhanced using a hysteresis compensator (HC) and an error governor (EG). A generalized error governing scheme for PID controllers to compensate for actuator saturations is also developed. This EG method is generalizable to any stable process controlled by a PID. Finally, the PID with HC and the error governing method is experimentally applied to a benchtop SMART subsystem.     

Throttle actuator control system for vehicle traction control

Accurate and quick positioning of the throttle valve in a gasoline engine is required to implement various systems such as traction control systems (TCS), cruise control systems and drive-by-wire systems. In this research, the throttle actuator system for TCS application was developed. Unlike other systems, this system consists of only one throttle body to obtain small volume and low manufacturing cost, and uses a DC servo motor for quick and accurate responses. In order to drive the DC motor, a PWM signal generator and PWM amplifier were built and interfaced to the motor and controller. This paper also presents the position control logic of the throttle actuator with the TDC (time delay control) scheme with a variable reference model. By varying the reference model based on the size of the step changes in the target throttle angle, the TDC scheme yields good transient response characteristics in that both overshoot prevention and a quick response time are achieved. Actual vehicle tests with this developed system incorporated with the TCS system show that it satisfies all the conditions required for the TCS operation.