Nonlinear Immune PID Controller and its Application to the Heat Milling System’s Material-Level Control

2011 ◽  
Vol 383-390 ◽  
pp. 743-749
Author(s):  
Jiu Qing Liu ◽  
Wei Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Feedback Mechanism ◽  
Control Technique ◽  
Level Control ◽  
Stability Robustness ◽  
Nonlinear Pid Controller ◽  
Simulation Results ◽  
And Performance ◽  
The Stability

Based on the fusion of immune feedback mechanism for the conventional PID control technique, a new immune nonlinear PID controller is proposed in this paper. The stability of immune nonlinear PID is analysised using Popov stability criterion. The controller designed not only guarantees the stability robustness and performance robustness of the system but also the tracking performance of the system. The numerical simulation results of the Material-level control of the heat milling system show the effectiveness and feasibility of our immune unlinear PID are verified in Mat lab.

Design of a Robust H∞ PID Control for Industrial Manipulators

1999 ◽  
Vol 122 (4) ◽  
pp. 803-812 ◽  
Author(s):  
Jonghoon Park ◽  
Wankyun Chung
Keyword(s):  
Pid Control ◽  
Degrees Of Freedom ◽  
Performance Tuning ◽  
Motion Controller ◽  
Six Degrees Of Freedom ◽  
Stability Robustness ◽  
Industrial Manipulators ◽  
And Performance ◽  
The Stability ◽  
L2 Gain

Industrial manipulators are under various limitations against high quality motion control; for example, both frictional and dynamic disturbances should be dealt with a simple PID control structure. A robust linear PID motion controller, called the reference error feedback (REF), is proposed, which solves the nonlinear L2-gain attenuation control problem for robotic manipulators. The stability, robustness, and performance tuning of the proposed controller are analyzed. Making use of the fact that the single parameter of the induced L2-gain γ controls the performance with stability attained, we propose a simple and stable method of performance tuning called “the square law.” The analytical results are verified through experiments of a six-degrees-of-freedom industrial manipulator. [S0022-0434(00)00104-0]

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

Input-Rate Based Adaptive Fuzzy Neuron PID Control for AQM

2013 ◽  
Vol 846-847 ◽  
pp. 3-8
Author(s):  
Xun Li Fan ◽  
Fei Fei Du ◽  
Zhen Hua Xie
Keyword(s):  
Congestion Control ◽  
Pid Control ◽  
Pid Controller ◽  
Poor Performance ◽  
Input Rate ◽  
Adaptive Fuzzy ◽  
Stability Robustness ◽  
Tcp Congestion Control ◽  
Congestion Control Mechanism ◽  
And Performance

Internet routers play an important role during network congestion. All the routers have buffers at input and output ports to hold the packets at congestion. Various congestion control algorithms have been proposed to control the congestion. Recently, some proportional-integral-derivative (PID) controller based algorithms have been proposed as Active Queue Management (AQM) schemes to address performance degradations of end-to-end TCP congestion control. However, most of the proposed PID-controllers for AQM are validated for their performance and stability via intuitive explanation and simulation studies instead of theoretic analysis and performance evaluation. But there are a few drawbacks of PID-controller based AQM algorithms leading to poor performance like causing data retention dropping and oscillation when the time delay is large, which means that the existing PID-controller can not meet the Quality of Service (QoS) requirements. To overcome the drawbacks of traditional PID, we analyze and enhance the PID-controller based AQM algorithm by regarding the TCP congestion control mechanism as an input-rate based Adaptive Fuzzy Neuron PID control algorithm (IRAFNPID) to avoid congestion in TCP/AQM networks. By means of simulations, we evaluate and compare the performance of traditional PID, single neural adaptive PID(SNAPID) and IRAFNPID, simulations with experiment data analysis and find that IRAFNPID has better convergence, stability, robustness, goodput and lower loss ratio.

Application of the K-Means Immune Particle Swarm Optimization Algorithm in the Steam Generator Water Level Control

2014 ◽  
Vol 981 ◽  
pp. 534-537
Author(s):  
Gui Min Sheng ◽  
Yu Cui Xue ◽  
Bo Yang Zhang
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
Nuclear Power ◽  
Power Plants ◽  
Adaptive Method ◽  
Level Control ◽  
Adjustment Time ◽  
Selection Parameter ◽  
Simulation Results ◽  
The Stability

The Stability of SG water level plays an important role in the safety of nuclear power plants, but tuned the parameter of water level PID controller is hard. Proposed a novel algorithm, KIPSO, which tuning PID controller parameters. Determine the cluster centre through K-means value cluster algorithm, and take the cluster territory as the characteristic value of vaccine set, enhance the vaccine multiplicity. Updated vaccine extraction by self-adaptive method, improved the convergence and adaptability. Analyzed the algorithm robustness in detail, and gave the rule which the immunity selection parameter. The simulation results shows: compares with the PID controller whose parameters are tuned by ZN method, KIPSO have a smaller overshoot, a better stability, and a shorter adjustment time. The simulation results show that the proposed method is effective for tuning PID parameters.

Research to the Liquid Level Control of Water Tank Based on Fuzzy Immune PID Controller

2012 ◽  
Vol 155-156 ◽  
pp. 1232-1236 ◽  
Author(s):  
Huai Zhong Chen
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Feedback Mechanism ◽  
Liquid Level ◽  
Water Tank ◽  
Level Control ◽  
Control System Model ◽  
Pure Delay ◽  
Liquid Level Control

Because the characteristics of the liquid level control conditioner are nonlinear, strong inertia, time-variant and pure delay, the conventional PID control is often ineffective. A fuzzy immune PID controller was designed based on the immune feedback mechanism and the fuzzy control theory, used the genetic algorithm to optimize the immune PID parameters, established a the liquid level control of water tank control system model, and applied fuzzy immune PID control technology to simulate the liquid level control through Matlab emulation., simulation results show that the control system has the characteristic of rapid adjustment, high regulation enec, therefore it has the feasibility and the promotion of a certain value.

Dynamic modeling and design of controller for the 2-DoF serial chain actuated by a cable-driven robot based on feedback linearization

2021 ◽  
pp. 095440622110279
Author(s):  
Vahid Bahrami ◽  
Ahmad Kalhor ◽  
Mehdi Tale Masouleh
Keyword(s):  
Dynamic Modeling ◽  
Pid Controller ◽  
Feedback Linearization ◽  
Tracking Error ◽  
Pid Controllers ◽  
Serial Chain ◽  
Simulation Results ◽  
The Stability ◽  
Feedback Linearization Approach ◽  
Bounded Disturbance

This study intends to investigate a dynamic modeling and design of controller for a planar serial chain, performing 2-DoF, in interaction with a cable-driven robot. The under study system can be used as a rehabilitation setup which is helpful for those with arm disability. The latter goal can be achieved by applying the positive tensions of the cable-driven robot which are designed based on feedback linearization approach. To this end, the system dynamics formulation is developed using Lagrange approach and then the so-called Wrench-Closure Workspace (WCW) analysis is performed. Moreover, in the feedback linearization approach, the PD and PID controllers are used as auxiliary controllers input and the stability of the system is guaranteed as a whole. From the simulation results it follows that, in the presence of bounded disturbance based on Roots Mean Square Error (RMSE) criteria, the PID controller has better performance and tracking error of the 2-DoF robot joints are improved 15.29% and 24.32%, respectively.

Active Force Control Applied to Spray Boom Structure

2013 ◽  
Vol 315 ◽  
pp. 616-620 ◽  
Author(s):  
Mona Tahmasebi ◽  
Roslan Abdul Rahman ◽  
Musa Mailah ◽  
Mohammad Gohari
Keyword(s):  
Pid Control ◽  
Force Control ◽  
High Frequency ◽  
Pid Controller ◽  
Active Force ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Active Force Control ◽  
Simulation Results ◽  
Vertical Vibrations

Distribution pattern of spray boom in fields is affected by several parameters which one of the important reasons is horizontal and vertical vibrations because of unevenness surfaces. Spray boom movements lead to decrease of spread efficiency and crop yield. Generally, active suspension is employed to control and attenuate the vibration of sprayer booms because these suspensions reduce the high frequency vibration of spray booms thanks to irregularities soil. In this research, a proportional-integral-derivative controller with active force control is used to remove undesired rolling of spray boom. Simulation results depict that the proposed scheme is more effective and accurate than PID control only scheme. The AFC based scheme shows the robustness and accuracy compared to the PID controller.

Constant Palstance Control of Combine Cylinder Based On Nonlinear PID

2012 ◽  
Vol 241-244 ◽  
pp. 1164-1167
Author(s):  
Ming Biao Yu ◽  
De An Zhao ◽  
Jun Zhang
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Control Environment ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Nonlinear Pid Controller ◽  
Simulation Results

Considering that the threshing cylinder palstance system has characteristics of nonlinear, time-delay, what’s more the control environment is very complex and multi-disturbance; this paper presented the method of nonlinear PID to control the cylinder palstance. Firstly, The paper analyzes characteristics of the model of the threshing cylinder palstance system .Then the nonlinear PID controller is designed, and with the threshing cylinder palstance system constitute a closed-loop control system. Finally, simulation results show the effectiveness and feasibility of the proposed method.

PID Control of Deposit Dimension during Spray Forming

2005 ◽  
Vol 475-479 ◽  
pp. 2811-2814 ◽  
Author(s):  
Ying Dong Qu ◽  
Cheng Song Cui ◽  
San Ben Chen ◽  
Qing Chun Li
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Network Modeling ◽  
Spray Forming ◽  
Neural Network Modeling ◽  
Melt Flow Rate ◽  
Forming Simulation ◽  
Dimensional Precision ◽  
Simulation Results ◽  
Actual Size

A PID controller has been developed to improve the dimensional precision of a deposit during spray forming. Simulation has been carried out based on a dynamic neural network modeling of deposit dimension. The simulation results show that the PID controller is effective for the control of deposit dimension with short regulating time and low override. Experimental results show that the error between the actual size and the target value is very small even though a disturbance from unstable melt flow rate was introduced.

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