传统PID控制器在烟草行业中的应用

以传统PID(比例-积分-微分)控制器理论为基础,论述了不同控制对象所应采用的PI、PD,以及PID调节器的结构,分析了各个调节参数对控制过程静态、动态的影响;在调节器的结构确定后,为了快速准确地整定出各调节参数,可采用凑试法、阶跃曲线法。通过在水分控制中的应用,证明了方法的正确性和实用性。

基于强化学习算法的自适应直流附加阻尼控制器

提出了基于强化学习算法的直流附加阻尼控制器。控制器主体采用模糊神经网络,利用由系统性能指标生成的强化信号在线训练控制器参数。与传统的模糊控制器相比,由于该控制器采用自适应启发式评价算法,将系统输出性能指标转化为强化信号反馈给控制器,使其能够在线修改控制器参数,因此有效地克服了传统阻尼控制器的设计对系统精确数学模型的依赖。仿真结果表明,与传统的阻尼控制器相比,基于强化学习算法的直流附加阻尼控制器能够有效地抑制区域间的功率振荡,提高交直流系统的动态稳定性,并且对多种运行方式具有一定的鲁棒性。

导弹发射装置随动系统模糊神经PID控制器

在有些系统性能指标要求很高的导弹发射装置的随动系统中,传统的PID控制往往难以满足要求。文章以某型导弹发射装置的随动系统为模型,结合了模糊控制、神经网络及PID等控制算法,设计了模糊神经PID控制器。通过与传统的PID控制器仿真实验对比,可以看出应用模糊神经PID控制器能够有效地提高该随动系统的动态性能和鲁棒稳定性。

智能控制系统在新能源电动三轮车的研究及应用

通过对新能源电动车控制器的研究,采用传统控制器与智能控制器进行的对比分析得出:智能控制器具有独立的散热器,温升整体线性稳定,降低产品损坏几率,同时能高负荷长时间的使用;功率板与控制板双分离,抗干扰能力优异;MOS管紧贴独立散热器,散热性大大的得到了提升;过流、过温进行了实时保护,能轻松应对各种复杂的运行环境;具有正弦波控制方式能使车辆静音起步,骑行过程可呈线性,各项部件运行稳定,智能操控等功能;防水性达到了IP67级别。

基于Matlab的Fuzzy-PID控制器的设计与仿真

简要介绍了传统PID设计及整定方法,给出Fuzzy-PID控制器的设计过程。通过使用Matlab的Simulink仿真工具,对传统PID控制器和Fuzzy控制器做了比较,结果显示:Fuzzy-PID控制器明显改善了系统的动态特性,控制效果优于传统的PID控制器。

基于改进PID算法的风力摆控制

针对风力摆装置存在的不确定性和非线性因素,考虑到传统PID控制方法很难对其进行精准有效的控制,为此将传统的PID控制和模糊控制思想相结合,提出了基于模糊切换的多模控制器设计方法来解决其稳定性问题。多模控制器是对风力摆装置反馈输入的角度误差和误差变化率进行处理,并采用模糊切换开关自动调整各控制器的控制强度,由此提高风力摆装置的自适应能力。最后,通过MATLAB仿真工具,将所提出的多模控制器分别与常规PID控制器和模糊控制器进行对比,验证了所提出方法的有效性和优越性,进一步证明了多模控制器具有较高的抗干扰性和精准性等优点。

气动位置伺服控制系统设计与研究

在对位置伺服控制方式进行研究的基础上,使用LabVIEW软件编写程序对气动比例伺服阀进行控制,最终对无杆气缸的位置进行控制。分别采用传统PID控制器和状态控制器对无杆气缸的位置进行控制,通过对比实验测试曲线,证明状态控制器对无杆气缸的位置控制精度更高、更稳定,特别是方波位置跟踪特性更好,所以状态控制器更适合于气动位置伺服控制系统。

导弹发射装置伺服系统模糊PID控制研究

在某型导弹发射装置的伺服系统中,对系统的性能指标要求很高,传统的PID控制往往难以满足要求。以某型导弹发射装置的伺服系统为模型,设计了模糊PID控制器。通过与传统的PID控制器仿真实验对比,可以看出应用模糊PID控制器能够有效提高该伺服系统的动态性能和鲁棒稳定性。

反应釜温度控制中的模糊控制算法改进

本文提出一种模糊控制与经典控制方法相结合的控制算法,在氟乙醇反应器内反应釜内温度对是由模糊逻辑控制器控制。使用开环的实验和模拟结果,在涉及功率加热器的反应釜温度中,传递函数的最佳形式是衍生。一系列的PID和PD控制器是基于科恩库恩、IMC、ITAE和模糊控制等传统方法设计的,这些旨在跟踪温度轨迹。通过对仿真结果的研究,对控制器的性能进行了比较。由于反应釜内自积分器的性质,该PD控制器具有更好的效率。因此,一个PD模糊和自适应传统PD控制器被施加到系统。模糊控制器显示出极好的性能,最大偏差约0.3℃在每160℃。

主动磁悬浮轴承非线性控制决策的研究

主动磁悬浮轴承是一个典型的闭环控制系统,其特点是具有强烈的非线性,磁浮力正比于电流平方,反比于位移偏置量的平方。传统的PID控制器应用比较广泛,但其比例、积分、微分环节的调节参数都是采用试验的方法人工整定。这种方法不仅需要熟练的技巧,而且比较费时。当被控对象发生变化时,其参数也要进行相应的调整,也就是说这种PID调节器没有自适应能力。文章所设计的PID控制器中的各种参数是随系统动态特性不断变动的,它是专为非线性系统设计的,具有很强的自适应能力。仿真结果显示,该系统是可行的。

高压断路器三相永磁无刷直流电机机构控制算法研究

针对高压断路器三相永磁无刷直流电机机构,研究了不同控制策略下电机操动机构的运动特性。考虑高压断路器的分、合闸操作过程,建立了永磁无刷直流电机操动机构运动控制系统的仿真模型,采用数字式双闭环控制,内环为电流环,采用PI控制,外环为速度环,基于传统PID控制器、单神经元PID控制两种不同控制策略控制。通过对伺服控制系统的仿真分析得到了电机操动机构速度跟踪控制特性。结果表明,单神经元PID控制器能够较好的实现触头速度的跟踪控制,使其按理想运动特性曲线运动,是一种较理想、有效的控制方法。

Home control system based on ZigBee wireless sensor networks

A new scheme of the home control system based on ZigBee wireless sensor networks is presented. The design and development of the software and hardware of the proposed system are given. In addition to the basic data acquisition and processing functions, the gateway supports the Bluetooth-based local interface and the general packet radio service （GPRS）-based remote interface. Users on the client service side can use a pocket PC or notebook PC to achieve real-time data acquisition and control instruction implementation, or remotely control the home control system through a mobile phone by sending a short message. The Labview graphical development environment is adopted to create PDA applications running on pocket PCs and monitoring platform established on notebook PCs. Except for the gateway, other nodes in the system work in sleep mode most of the time on the system, and thus it improves the lifetime of the whole system efficiently.

Powertrain Torque Control Based on Torque Observer

To reduce shock during transmission gear shift, a transmission torque feedback closed loop control system is proposed based on the powertrain system model and a torque observer. The ignition time of engine was delayed to reduce transmission output shaft torque during gear shift. In contrast to traditional control method, the closed loop control system based on torque observer can obviously reduce the transmission output shaft torque during gear shift. It can be concluded that by way of torque feedback closed loop control, transmission shift shock can be reduced.

Multi-sensor systems and information processing of mobile robot in uncertain environments

The PBJ- 01 robot is a kind of mobile robot featuring six wheels and two swing arms which can help it to fit many terrains. The robot has a sophisticated sensor system, which includes ultrasonic sensors, tentacle sensors and a vision sensor. The PBJ- 01 adopts behavior-based reactive control architecture in which the key part is an object recognition system based on a fuzzy neural network. Simulation validates that this system can conclude the obstacle type from the sensor data, and help the robot decide whether to negotiate or to avoid obstacles.

Optimization of actuator/sensor position of multi-body system with quick startup and brake

A new method was put forward to optimize the position of actuator/sensor of multi-body system with quick startup and brake. Dynamical equation was established for the system with intelligent structure of piezoelectric actuators. According to the property of the modes varying with time, the performance index function was developed based on the optimal configuration principle of energy maximal dissipation, and the relevant optimal model was obtained. According to its characteristic, a float-encoding genetic algorithm, which is efficient, simple and excellent for solving the global-optimal solution of this problem, was adopted. Taking the plane manipulator as an example, the result of numerical calculation shows that, after the actuator/sensor position being optimized, the vibration amplitude of the multi-body system is reduced by 35% compared with that without optimization.

Neuron PI control for semi-active suspension system of tracked vehicle

A neuron proportion integration (PI) control strategy for semi-active suspension system of tracked vehicle was proposed based on its unique structure and the multiple and complex environment of the driving traffic. An adaptive genetic algorithm is used to optimize the parameters of the neuron PI controller. The simulation result of the neuron PI control for semi-active suspension system of tracked vehicle indicates that the vertical amplitude,pitch angle and vertical acceleration of the vehicle are well controlled. The root mean square (RMS) of the vertical amplitude decreases by 37.2%,and 45.2% for the pitch angle,38.6% for the vertical acceleration. The research of neuron PI control experiment for the semi-active suspension system of the tracked vehicle model mining in benthal indicates that the RMS of the weight acceleration vibrating along the vertical direction decreases by 29.5%,the power spectral density resonance peak of the acceleration of the car body decreases by 23.8%.

Genetic Optimization Algorithm of PID Decoupling Control for VAV Air-Conditioning System

Variable-air-volume (VAV) air-conditioning system is a multi-variable system and has multi coupling control loops. While all of the control loops are working together, they interfere and influence each other. A multivariable decoupling PID controller is designed for VAV air-conditioning system. Diagonal matrix decoupling method is employed to eliminate the coupling between the loop of supply air temperature and that of thermal-space air temperature. The PID controller parameters are optimized by means of an improved genetic algorithm in floating point representations to obtain better performance. The population in the improved genetic algorithm mutates before crossover, which is helpful for the convergence. Additionally the micro mutation algorithm is proposed and applied to improve the convergence during the later evolution. To search the best parameters, the optimized parameters ranges should be amplified 10 times the initial ideal parameters. The simulation and experiment results show that the decoupling control system is effective and feasible. The method can overcome the strong coupling feature of the system and has shorter governing time and less over-shoot than non-optimization PID control.

Design and Analysis of a Gain-scaling Controller Applied to a Chain of Integrator System with Measurement Noise on Feedback Sensor

A control problem of a chain of integrator system with measurement noise on feedback sensor is considered. We propose a gain-scaling controller for compensating measurement noise of feedback sensor. Because control systems operate via feedback sensor＇s signal, the measurement noise in sensor＇ signal results in performance degradation or even system failure. Therefore, control systems often demand on compensating measurement noise. Our controller is equipped with a compensator and gain-scaling factor in order to reduce the effect of measurement noise on feedback sensor.

Motion Capture for Puppet Control Using Integrated Sensor System

The paper aims to execute puppet without restrictions by controling puppet using robot. We controling puppet in the same way as the present puppet, but we perform this by robot. It offers more advantages and lessen the weak points. It needs various actions and expressions because of the nature of a puppet. The biggest problem which executes this is the ways to create a system. This thesis proposes motion capture of developed method with solution of this problem. So, we create various contents needed by puppet. In this part, developed method means a mixed method on the basis of optical system and magnetic system used mainly for the present method of motion capture. We lessen the weak points of each method and propoe solution of create motion for pupct by offering more advantages. So we solve difficulties of executing puppet and probable probkans when we execute puppet by using robot. The solution of this thesis is proven by applying control of puppet.

Design and study of greenhouse intelligent monitor system

This is a greenhouse ecological parameters measurement and control system, the system implements the data collection of field temperature, humidity and carbon dioxide by using the 1-wire bus network which consist of 1-wire bus temperature sensor, 1-wire bus humidity sensor, Analog-to-Digital Converter（ADC）, CO2 sensor and intelligent battery monitor.