递阶结构智能控制系统的控制器设计

本文提出一种基于人工神经元网络控制的递阶智能控制结构，整个控制系统由上层的智能控制器和下层的常规控制系统组成，上层神经网络控制器通过不断调整常规控制系统的参考输入来改善整修控制系统的性能，在这种控制系统中，由于常规控制器的参数与结构不受上层控制器的影响，帮可实现一些高级控制算法，文中对递阶智能控制系统的基本思想，设计方法，系统的稳定性等进行了讨论与分析，同时给出了仿真结果与结论。     

基于高斯势函数网络的智能温度控制器

本文提出一种基于高斯函数网络的模糊温度控制器，给出了模糊神经网络控制模型和学习算法。通过自学习不断修正模糊控制器规则，使模糊控制器具有自学习和自适应能力。计算机仿真及温控结果表明，这种智能控制器具有良好的控制性能。     

多色智能控制器

本文从智能控制是人工智能、自动控制和信息论的交叉这一概括出发提出一种新的智能控制思想——多色智能控制器(MCIC),阐明了多色信息空间,多色行为空间,多色多模控制规则集,信息、行为、控制提取算子,多色映射等概念,并以此论述了MCIC的结构和设计方法,给出了MCIC的工程实践例证。     

倒立摆系统的泛逻辑控制及相关比较研究

针对水平导轨直线型二级倒立摆的稳定控制问题,提出了基于泛组合运算模型的泛逻辑控制方法,并设计实现了其线性二次型最优调节器、拟人智能控制器和模糊控制器。通过对各控制器设计特点和控制效果的比较研究发现,所提出的泛逻辑控制器由于本质上具有的柔性特征,对系统具有较高的控制精度,在控制快速性和稳定性方面表现较好。     

仿人智能控制器的研究及工程应用

介绍了仿人智能控制器的适用范围和基本算法,提出了改进的仿人智能控制器即九点控制器的优化控制策略.通过时工程设计中温度的控制方案设计,比较了九点控制器与PID控制器算法对系统动态性能的影响.九点控制器算法简单、系统响应速度快、参数整定简单,特别适合于无数学模型的控制对象.九点控制器的参数可进一步优化,从而转化为九点五态控制器.     

一种两轮轮式机器人点镇定智能控制实现

针对实际RoboCup机器人,分析了采用双闭环轮速跟随电机执行系统的两轮轮式移动机器人的数学模型,考虑了实际电机系统必然存在的速度饱和、加速度饱和限制对点镇定控制的影响,基于动觉图式的仿人智能控制理论,提出了一种两轮轮式机器人点镇定的分段比例智能控制器,利用遗传算法整定了控制器的参数.比较了比例控制器,比例余弦控制器和提出的智能控制器的仿真控制效果,并在实际RoboCup机器人上有效实现了提出的控制器.仿真和实际系统实验都证明了该控制器的有效性.     

卫星初始速度阻尼智能控制器设计

针对卫星入轨后的初始速率阻尼问题,提出一种基于人脑中情绪学习模型的在线自主自适应控制器。该控制器模拟人脑对感官输入和情绪刺激的处理过程,自主选择适当的控制信号,完成控制任务。设计了基于PID控制和PWPF调制的人脑情绪学习模型智能控制器用以完成卫星初始速率阻尼控制。仿真结果表明,该智能控制器对于卫星转动惯量的不确定性具有较强的鲁棒性,在线学习能力使得智能控制器的性能明显优于PID控制器。     

基于粗糙集的仿人智能控制器的设计

将粗糙集理论的基本思想引入到仿人智能控制中,提出一种新型的仿人智能控制器的设计方法。利用粗糙集算法,从人的控制行为数据中提取控制规则,由此控制规则构造出仿人智能控制器,从而实现基于粗糙集的智能控制。     

基于对象特征模型描述的智能控制

目前出现的一些智能控制,大多数要靠现场试凑确定控制器结构和参数,缺乏事先 按要求进行控制器设计的完整思想.为此,介绍一种新方法--基于对象特征模型描述的智 能控制.该方法的基本思想是根据对象的特征模型描述和控制要求,设计智能控制器.它设计 简单,使用方便,一般不需人们现场试凑调整.论文阐述了本方法产生的背景、基本原理和组 成,智能控制器的设计以及多个实际工程的应用情况.     

一种基于生物智能控制的静止无功补偿器控制系统

针对传统PID控制在动态调节过程中存在快速性和平稳性矛盾的问题,提出了一种基于生物智能控制的静止无功补偿器控制系统的设计方法。生物智能控制器基于睾丸素分泌调节原理,其一级控制单元和二级控制单元采用比例控制和传统PID控制设计,一级控制单元根据控制偏差的大小动态调整二级控制单元的给定值输入,从而可迅速、稳定地消除控制偏差。仿真结果表明,基于生物智能控制的静止无功补偿器控制系统具有响应速度快、超调量小、动态和静态稳定性能好等优点。     

Control of a non-isothermal continuous stirred tank reactor by a feedback-feedforward structure using type-2 fuzzy logic controllers

A control system that uses type-2 fuzzy logic controllers (FLC) is proposed for the control of a non-isothermal continuous stirred tank reactor (CSTR), where a first order irreversible reaction occurs and that is characterized by the presence of bifurcations. Bifurcations due to parameter variations can bring the reactor to instability or create new working conditions which although stable are unacceptable. An extensive analysis of the uncontrolled CSTR dynamics was carried out and used for the choice of the control configuration and the development of controllers. In addition to a feedback controller, the introduction of a feedforward control loop was required to maintain effective control in the presence of disturbances. Simulation results confirmed the effectiveness and the robustness of the type-2 FLC which outperforms its type-1 counterpart particularly when system uncertainties are present.     

Adaptive intelligent cascade control of a ball-riding robot for optimal balancing and station-keeping

This paper presents an adaptive intelligent cascade control strategy to maintain the dynamic stability of a ball-riding robot (BRR). The four-wheeled mechanism beneath the robot body balances it on a spherical wheel. The BRR is modeled as a combination of two decoupled inverted pendulums. Therefore, two independent controllers are used to control its pitch and roll rotations. An incremental proportional–integral–derivative (PID) is implemented in the inner loop of the cascade to maintain the vertical balance. A generic PD controller is used in the outer loop to keep the station by controlling its spatial position. The controller parameters are automatically tuned via a fuzzy adaptation mechanism. The centers of fuzzy output membership functions are dynamically updated via an extended Kalman filter (EKF). The proposed controller quickly responds to changes in system’s state and effectively rejects the exogenous disturbances. The results of real-time experiments are presented to validate the effectiveness of the proposed hybrid controller over the conventional classical controllers.     

Design and real time implementation of three-phase three switches three levels Vienna rectifier based on intelligent controllers

This paper treats the control of multilevel rectifier by applying the soft computing technique represented by the fuzzy logic. This latest, provides an inexpensive solution for controlling the ill-known complex systems, while relying on the imitation of human reasoning. In our case, the proposed intelligent controller aims at eliminating the current line harmonics, guaranteing an improved power factor, reducing the output voltage ripple and ensuring the balance between the two voltages across the two capacitors of Vienna rectifier. In order to evaluate the performance of the proposed control for Vienna rectifier, a comparative study in real time via the dSPACE card 1104 has been carried out between the traditional approach based on the conventional controllers and the new method using an intelligent controller. The experimental results confirm that the modified control approach has guaranteed a good quality of source currents in phase with the grid voltages and operation of the studied system with a power factor very close to unity. Furthermore, only one fuzzy controller used has ensured the regulation of the DC bus voltage, the minimization of the undulations for the two partial voltages and the improvement of the error of the voltage balance for the Vienna rectifier.     

分布式控制系统中PC机与多个智能控制器数据通信的实现

阐述了DB1000智能控制器的通信协议以及主从式通信的原理,采用Pcomm串行通信开发工具实现了分布式控制系统中单台PC机对多台智能控制器的串行通信控制。     

Design of a PID optimized neural networks and PD fuzzy logic controllers for a two‐wheeled mobile robot

In this paper, two intelligent techniques for a two‐wheeled differential mobile robot are designed and presented: A smart PID optimized neural networks based controller (SNNPIDC) and a PD fuzzy logic controller (PDFLC). Basically, mobile robots are required to work and navigate under exigent circumstances where the environment is hostile, full of disturbances such as holes and stones. The robot navigation leads to an autonomous decision making to overcome an obstacle and/or to stop the engine to protect it. In fact, the actuators that drive the robot should in no way be damaged and should stop to change direction in case of insurmountable disturbances. In this context, two controllers are implemented and a comparative study is carried out to demonstrate the effectiveness of the proposed approaches. For the first one, neural networks are used to optimize the parameters of a PID controller and for the second a fuzzy inference system type Mamdani based controller is adopted. The goal is to implement control algorithms for safe robot navigation while avoiding damage to the motors. In these two control cases, the smart robot has to quickly perform tasks and adapt to changing environment conditions while ensuring stability and accuracy and must be autonomous with regards to decision making. Simulations results aren't done in real environments, but are obtained with the Matlab/Simulink environment in which holes and stones are modeled by different load torques and are applied as disturbances on the mobile robot environment. These simulation results and the robot performances are satisfactory and are compared to a PID controller in which parameters are tuned by the Ziegler–Nichols tuning method. The applied methods have proven to be highly robust.     

基于嵌入式软PLC技术的智能控制器设计

市场现存的智能控制器控制成功率低,控制过程消耗时间过长,整体性能较差。为了解决上述问题,基于嵌入式软PLC技术设计了一种新的智能控制器,在硬件元件功能方面进行优化设计,选用PLC6ED1055-1CB00-0BA0型号编辑器作为编辑模块主参考元件,设定智能控制器编辑模块,选用8460+8560系列增量型编码器作为智能控制器编码模块的核心设备,选用ZQWL-CANET-1C111型号调试器实现智能控制器调控。以嵌入式为主的软件操作主要采用直接存址方式进行系统数据储存,通过离散化处理实现控制程序,在理论操作的过程中需不断注意对主系统软件程序的保护,确保控制器工作过程的稳定性。为了验证控制器效果,设定对比实验,结果表明,基于嵌入式软PLC技术的智能控制器控制成功率比传统控制器高出15.28%,消耗时间更短,实用价值更高。     

Continuous bounded controllers for active control of structures

This paper considers nonlinear controller under bounded capacity of the actuators. The controller is first derived based on bang-bang type controllers. In order to avoid high-speed switching effect, a continuous function is used to replace signum function in bang-bang controller. Although a variety of continuous and bounded functions are available, a hyperbolic tangent is chosen as the candidate of the controller. The proposed control law is then applied to three- and six-storey buildings utilising active bracing systems. Different earthquake excitations with various intensities are used in the simulation to show the potential benefit of the proposed control law. Numerical results show that in contrast to bang-bang type controllers that utilise maximum capacity of the actuator, the proposed controller is adaptive in the sense that the maximum capacity of the actuator is utilised when only needed. In addition, the proposed controller can avoid the high-speed switching effects presence in the bang-bang controllers if the weighting variables are chosen appropriately.     

柔性控制系统中七态控制器的仿真分析

基于智能控制的思想,在九点控制器的基础上,提出了七态控制器的概念.在控制器作用下对柔性控制系统中的二阶对象进行仿真分析,可得出结论:无论二阶对象是否稳定,七态控制器对不同的控制对象可以达到满意的控制效果.     

一种新型智能空调遥控器

为了解决空调遥控器不兼容问题,设计了一款基于Atmega16单片机的智能空调遥控器。该遥控器采用测量脉冲宽度的方法学习红外信号,同时使用游程编码算法对数据进行压缩后存储,并利用单片机内部定时器PWM模式产生红外载波,成功实现了对红外遥控的学习与再现,并可通过上位机进行控制。经运行测试表明,该智能遥控器操作灵活,性能稳定,为智能遥控器设计提供了一种新方案。     

容错分布控制系统设计

研究设计了一种容错离散分布控制系统的网络配置结构，即将控制系统中的每个可编程控制器作为一个控制结点，结点之间通过网络进行连接构成离散分布控制系统；使系统实现容错的方法是，增加一个在Galois域进行运算的冗余控制器结点，从而使系统能够自动侦查系统中的结点（可编程控制器）是否正常工作，并能使不正常工作的结点的功能得到恢复，确保系统的容错性和可靠性；实验证明这种设计是有效可行的；容错分布控制系统具有良好的抗故障能力，有很好的实际应用价值。