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Search Results: 1 - 10 of 5340 matches for " PID Signal Constraining "
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The Implementation and Lateral Control Optimization of a UAV Based on Phase Lead Compensator and Signal Constraint Controller  [PDF]
Adil Loya, Muhammad Duraid, Kamran Maqsood, Rehan Rasheed Khan
Engineering (ENG) , 2018, DOI: 10.4236/eng.2018.1010051
Abstract: Unmanned Aero Vehicles (UAV) has become a useful entity for quite a good number of industries and facilities. It is an agile, cost effective and reliable solution for communication, defense, security, delivery, surveillance and surveying etc. However, their reliability is dependent on the resilient and stabilizes performance based on control systems embedded behind the body. Therefore, the UAV is majorly dependent upon controller design and the requirement of particular performance parameters. Nevertheless, in modern technologies there is always a room for improvement. In the similar manner a UAV lateral control system was implemented and researched in this study, which has been optimized using Proportional, Integral and Derivative (PID) controller, phase lead compensator and signal constraint controller. The significance of this study is the optimization of the existing UAV controller plant for improving lateral performance and stability. With this UAV community will benefit from designing robust controls using the optimized method utilized in this paper and moreover this will provide sophisticated control to operate in unpredictable environments. It is observed that results obtained for optimized lateral control dynamics using phase lead compensator (PLC) are efficacious than the simple PID feedback gains. However, for optimizing unwanted signals of lateral velocity, yaw rate, and yaw angle modes, PLC were integrated with PID to achieve dynamical stability.
Modeling and Simulation of Voltage Controlled Buck Converter

王毅, 黄文清
Open Journal of Circuits and Systems (OJCS) , 2013, DOI: 10.12677/OJCS.2013.22003
This paper researches on the Modeling and Simulation of Buck DC-DC converter based on the small signal analysis method in non-ideal conditions. And a controller is designed by PID compensation network. At last, the circuit is simulated by the Saber software; the results verify the reasonableness of the controller.
Constraining Forces Causing the Meissner Effect  [PDF]
Ekkehard Krüger
Journal of Modern Physics (JMP) , 2017, DOI: 10.4236/jmp.2017.88074
Abstract: As shown in former papers, the nonadiabatic Heisenberg model presents a novel mechanism of Cooper pair formation which is not the result of an attractive electron-electron interaction but can be described in terms of quantum mechanical constraining forces. This mechanism operates in narrow, roughly half-filled superconducting bands of special symmetry and is evidently responsible for the formation of Cooper pairs in all superconductors. Here we consider this new mechanism within an outer magnetic field. We show that in the magnetic field the constraining forces produce Cooper pairs of non-vanishing total momentum with the consequence that an electric current flows within the superconductor. This current satisfies the London equations and, consequently, leads to the Meissner effect. This theoretical result is confirmed by the experimental observation that all superconductors, whether conventional or unconventional, exhibit the Meissner effect.
Fully-LabVIEW Powered M ssbauer Spectrometer
Jiri Pechousek,Roman Prochazka,Dalibor Jancik,Miroslav Mashlan
International Journal of Online Engineering (iJOE) , 2009, DOI: 10.3991/ijoe.v5i5.944
Abstract: The virtual instrumentation techniques are applied for the first fully-LabVIEW powered M ssbauer spectrometer. The spectrometer application has to carry out several different tasks such as gamma-ray pulse height analysis (via digital oscilloscope), reference velocity signal generation for the motion of the radioactive source (via function generator) together with digital proportional-integral-derivative (PID) unit responsible to control the relative precise velocity between the source and the absorber (via CompactRIO) and M ssbauer spectra accumulation.
Software Design for Bidirectional DC-DC Power Supply

,WAN Chun-mei,SHEN Xiao-song

- , 2017, DOI: 10.13718/j.cnki.xdzk.2017.10.025
Abstract: 提出了一种针对锂离子电池设计的充电电流可变、放电电压恒定的高效率双向DC-DC电源装置模型.通过对该模型进行理论推导和控制器仿真,确定了以PID算法作为软件设计的核心,同时建立开关电源小信号模型,得出开关状态及其数学模型,并选择合适的控制器作为闭环控制的核心,建立MATLAB数学仿真模型,验证了控制算法的合理性和正确性,为双向DC-DC电源设计提供了可靠的理论依据及设计参考.
In order to provide a reliable theoretical basis and design reference for bidirectional DC-DC power supply, a high-efficiency bidirectional DC-DC power supply unit model with variable charging current and constant discharge voltage is proposed for lithium ion battery design in this paper. Through the theoretical derivation and controller simulation of the mathematical model of bidirectional DC-DC power supply, the PID algorithm is taken as the core of software design. At the same time, a small signal model of switching power supply is established, the switch state and its mathematical model are obtained, and the appropriate controller is chosen as the core of closed-loop control. A mathematical simulation model of MATLAB is established, and the rationality and correctness of the control algorithm are verified
Modeling of Environmental Influences at the Signal Transmission by means of VDSL and PLC Technologies
Rastislav Róka
International Journal of Communication Networks and Information Security , 2009,
南京农业大学学报 , 2016, DOI: 10.7685/jnau.201504031
Abstract: [目的]针对目前四轮农用拖拉机换挡器的特殊结构,设计了新颖的拖拉机驾驶机器人换挡机械手,将拖拉机换挡操纵杆的三维球面运动转化为直角坐标中的二维直线运动,机械手可以沿X、Y 2个方向的运动来实现选、换挡。[方法]拖拉机换挡操纵杆在X方向的换挡阻力很小,且选挡位置固定,因此在X方向采用传统的位置控制;由于拖拉机换挡操纵杆在Y方向换挡时,位置重复性差,换挡过程中的力存在时变、非线性等特征,难以通过位置控制进行纵向换挡,因此,构建基于力反馈的拖拉机驾驶机器人换挡机械手模糊PID自适应控制系统,并通过力信号的小波入位检测判断换挡手柄是否成功入位。[结果]仿真结果及在国产JINMA(金马)300E型拖拉机的换挡试验均表明:模糊PID自适应控制方法具有良好的力跟踪特性,与传统PID控制方法相比,该控制方法可实现换挡过程中PID参数的在线自整定,换挡力跟踪误差低于6%,超调量小于10%,上升时间缩短46%。[结论]基于力反馈的模糊PID自适应控制能够实现拖拉机驾驶机器人的平顺换挡,具有较强的鲁棒性和自适应能力。
[Objectives]Respect to the special structure of the gear shift device of the four-wheel agricultural tractor,this paper designed a novel gear shift mechanical arm of tractor robot driver,which can transform the three-dimensional spherical motion of tractor shift lever into two-dimensional linear motion in rectangular coordinates. The mechanical arm can shift in both X and Y directions to achieve selecting and changing gears. [Methods]This paper used the conventional position control algorithm to achieve shift in X direction because the shift resistance of the gear shift device is small in X direction and the shift position is fixed. And this paper constructed fuzzy-adaptive PID control system of shift manipulator of tractor robot driver in Y direction respect to the time-variable and nonlinear characteristic of the force during the process of movement of the gear shift device,and put forward a way of identifying the gears’ successful shift by force based on wavelet to judge whether the gears’ shift was in the successful shift position or not. [Results]The simulation results and gear experiments of the JINMA tractor of 300E type made in China show the fuzzy-adaptive PID control algorithm has good tracking characteristic of the shift force,and this algorithm can realize the PID parameters online self-tuning compared to the traditional PID control algorithm,for example the tracking error of the shift force was less than 6%,the overshoot was less than 10% and the rise time was reduced by 46%. [Conclusions]The fuzzy-adaptive PID control algorithm based on the force feedback can realize the gear shift smoothly by the tractor robot driver,which has strong robustness and self-adaptive ability
Attitude Control of a Quadrotor with Optimized PID Controller  [PDF]
Hossein Bolandi, Mohammad Rezaei, Reza Mohsenipour, Hossein Nemati, S. M. Smailzadeh
Intelligent Control and Automation (ICA) , 2013, DOI: 10.4236/ica.2013.43039
Abstract: A new approach to control, stabilization and disturbance rejection of attitude subsystem of quadrotor is presented in this article. Analytical method is used to tune conventional structure of PID controller. SISO approach is implemented for control structure to achieve desired objectives. The performance of the designed control structure is evaluated through time domain factors such as overshoot, settling time and integral error index, and robustness. A comparison is done between designed controller and back-step controller applied to main model of quadrotor. The results of simulation show the effectiveness of designed control scheme.
Particle Swarm Optimization (PSO) Based Turbine Control  [PDF]
Ali Tarique, Hossam A. Gabbar
Intelligent Control and Automation (ICA) , 2013, DOI: 10.4236/ica.2013.42018
Abstract: The steam turbine control system is strongly non-linear in all operating conditions. Proportional-Integral-Derivative (PID) controller that is currently used in control systems of many types of equipment is not considered highly precision for turbine speed control system. A fine tuning of the PID controller by some optimization technique is a desired objective to maintain the precise speed of the turbine in a wide range of operating conditions. This Paper evaluates the feasibility of the use of Particle Swarm Optimization (PSO) method for determining the optimal Proportional-Integral-Derivative (PID) controller parameters for steam turbine control. The turbine speed control is modelled in SimulinkTM with PID controller and the PSO algorithm is implemented in MATLAB to optimize the PID function. The PSO optimization technique is also compared with Genetic Algorithm (GA) and it is validated that PSO based controller is more efficient in reducing the steady-states error; settling time, rise time, and overshoot limit in speed control of the steam turbine control.
A Study on Autotuning Controller for Servo System  [PDF]
Nguyen Hoang Giap, Jin-Ho Shin, Won-Ho Kim
Intelligent Control and Automation (ICA) , 2014, DOI: 10.4236/ica.2014.53012

This paper introduces a PID Autotuning controller using intelligent neural network control based on relay feedback approach. The proposed controller takes advantage of offline learning, in which the initial knowledge of control system is recognized by the relay feedback approach, and the online learning capability of neural network controller helps the control system respond quickly to the dynamics changes. The robustness and motion tracking performance are validated through simulation results.

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