Improved Modeling and PID Control Algorithm for Three-Tank Liquid Level System

2012 ◽  
Vol 442 ◽  
pp. 176-179
Author(s):  
Yan Xin Yu ◽  
Xue Song
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
System Model ◽  
Liquid Level ◽  
Superior Performance ◽  
Level System ◽  
Modeling And Control ◽  
Theoretical Significance ◽  
Strong Representation ◽  
And Control

Three-tank liquid level system is a more typical non-linear and delay object with strong representation and background of industry. The part or whole of many objects can be abstracted into a mathematical model of three-tank liquid level system. Research on modeling and control of the system has important theoretical significance and practical value. This article describes how to use Simulink function to establish the mechanism of three-tank liquid level system model. And at the time, an improved PID control algorithm is proposed. The results show that it has more superior performance for three-tank liquid level system simulation control compared with the traditional PID control algorithm.

Modeling and Control Approach to Coupled Tanks Liquid Level System Based on Function-Type Weight RBF-ARX Model

2016 ◽  
Vol 19 (2) ◽  
pp. 692-707 ◽  
Author(s):  
Feng Zhou ◽  
Hui Peng ◽  
Xiaoyong Zeng ◽  
Xiaoying Tian ◽  
Jun Wu
Keyword(s):  
Liquid Level ◽  
Level System ◽  
Function Type ◽  
Arx Model ◽  
Modeling And Control ◽  
Control Approach ◽  
And Control

Application of Improved Fuzzy PID Control Algorithm in Heating Furnace

2011 ◽  
Vol 383-390 ◽  
pp. 760-763
Author(s):  
Hong Jun Wang ◽  
De Xiong Li ◽  
Hui Juan Qi ◽  
Li Na Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Gas Flow ◽  
Control Program ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Modeling And Control ◽  
And Control ◽  
Fuzzy Control Algorithm ◽  
Better Than

e furnace of steel plant is a complex controlled object and it has the properties of nonlinear, Time-varying and delay. Its modeling and control are very difficult. The temperature control of the furnace mainly depends on the control of gas flow. Therefore, the study of a reasonable gas flow control program is the key to increase the level of heating control. In this paper, an improved fuzzy PID control algorithm is proposed, in which, PID control algorithm and fuzzy control algorithm are integrated together, and its characteristics are improved according to feature of furnace. This made the algorithm to have good adaptability and Interference capability. The simulation results show that the improved control algorithm is better than traditional algorithm in overcoming the non-liner, delay of the object and the performance is excellent.

MODELING A NONLINEAR LIQUID LEVEL SYSTEM BY CELLULAR NEURAL NETWORKS

2010 ◽  
Vol 21 (04) ◽  
pp. 489-501
Author(s):  
NORBERTO HERNANDEZ-ROMERO ◽  
JUAN CARLOS SECK-TUOH-MORA ◽  
MANUEL GONZALEZ-HERNANDEZ ◽  
JOSELITO MEDINA-MARIN ◽  
JUAN JOSE FLORES-ROMERO
Keyword(s):  
Dynamical System ◽  
Neural Networks ◽  
Block Diagram ◽  
Nonlinear Dynamical System ◽  
Cellular Neural Networks ◽  
Liquid Level ◽  
Level System ◽  
Exact Linearization ◽  
Modeling And Control ◽  
And Control

This paper presents the analogue simulation of a nonlinear liquid level system composed by two tanks; the system is controlled using the methodology of exact linearization via state feedback by cellular neural networks (CNNs). The relevance of this manuscript is to show how a block diagram representing the analogue modeling and control of a nonlinear dynamical system, can be implemented and regulated by CNNs, whose cells may contain numerical values or arithmetic and control operations. In this way the dynamical system is modeled by a set of local-interacting elements without need of a central supervisor.

Stiffness Control of a SMA Actuator

2009 ◽  
Author(s):  
Minal Y. Bhadane ◽  
Mohammad H. Elahinia
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Angular Position ◽  
System Model ◽  
Hardware In The Loop ◽  
Result Show ◽  
Stiffness Control ◽  
Sma Actuator ◽  
And Control

This paper presents a control of stiffness for an actuator that utilizes the properties of shape memory alloy (SMA) wires. The control algorithm is developed based on angular position of the SMA actuated arm. The model for calculation of stiffness is prepared in MATLAB/Simulink environment. In this application, a PID controller is designed to regulate the applied voltage of the SMA wire. For all the experiments, dSPACE hardware-in-the-loop solution is used. Simulation and experimental results are collected to validate system model. Result show good performance and control of stiffness through PID control system.

An Efficient Approach for Modeling and Control of a Quadrotor

2016 ◽  
Vol 4 (2) ◽  
pp. 1-16
Author(s):  
Ahmed S. Khusheef
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Mechanical Design ◽  
Loop Control ◽  
Modeling And Control ◽  
Loop Control System ◽  
And Control ◽  
Close Loop Control ◽  
Close Loop Control System ◽  
Made In

 A quadrotor is a four-rotor aircraft capable of vertical take-off and landing, hovering, forward flight, and having great maneuverability. Its platform can be made in a small size make it convenient for indoor applications as well as for outdoor uses. In model there are four input forces that are essentially the thrust provided by each propeller attached to each motor with a fixed angle. The quadrotor is basically considered an unstable system because of the aerodynamic effects; consequently, a close-loop control system is required to achieve stability and autonomy. Such system must enable the quadrotor to reach the desired attitude as fast as possible without any steady state error. In this paper, an optimal controller is designed based on a Proportional Integral Derivative (PID) control method to obtain stability in flying the quadrotor. The dynamic model of this vehicle will be also explained by using Euler-Newton method. The mechanical design was performed along with the design of the controlling algorithm. Matlab Simulink was used to test and analyze the performance of the proposed control strategy. The experimental results on the quadrotor demonstrated the effectiveness of the methodology used.

Research on Vibration Isolation System Based on Disturbance Observer PID Control Algorithm

2017 ◽  
Vol 865 ◽  
pp. 480-485
Author(s):  
Jian Liang Li ◽  
Xiao Xi Liu ◽  
Shu Qing Li ◽  
Zhi Fei Tao ◽  
Lei Ma
Keyword(s):  
Pid Control ◽  
Disturbance Observer ◽  
Control Algorithm ◽  
Vibration Isolation ◽  
Low Frequency ◽  
Isolation System ◽  
Vibration Isolation System ◽  
Virtual Test ◽  
Set Up ◽  
And Control

The research mainly focuses on the performance of the controllable hypocenter in the low frequency band. The hybrid vibration isolation method based on the disturbance observer PID control algorithm is used to improve the excitation signal quality. Based on the analysis of the structure and working principle of vibration isolator, the physical model and mathematical model are established, and the simulation test of ZK-5VIC virtual test vibration and control system is carried out. The experimental platform of hybrid vibration isolation system with low frequency interference is set up. The experiment of excitation and acquisition of low frequency signal is carried out, which provides the theoretical basis and guarantee for the vibration isolation technology in the low frequency range below 3Hz.

The Modeling and Control of Leaching Rate in Nickel Stir Leaching Process of Sulfuric Acid

2012 ◽  
Vol 485 ◽  
pp. 165-168
Author(s):  
Qiang Li ◽  
Cheng Zhi Yang ◽  
Wen Bo Zhang ◽  
Yang Yu
Keyword(s):  
Computer Simulation ◽  
Sulfuric Acid ◽  
Predictive Control ◽  
Pid Control ◽  
Rate Control ◽  
Leaching Rate ◽  
Modeling And Control ◽  
Leaching Process ◽  
And Control ◽  
Nickel Leaching

Leaching rate is one of the key parameters in the nickel stir leaching process of sulfuric acid and it is hard to online measure directly due to a lot of uncertain facts. In this paper, the prediction model of nickel leaching rate is established by least squares identification method. A controller combining predictive control(PFC) and PID control is designed to control nickel leaching rate in stir leaching process of sulfuric acid and better results of leaching rate control is proved by computer simulation.

The Simulation of Robot Control Based on CMAC Neural Network PID Control Algorithm

2013 ◽  
Vol 336-338 ◽  
pp. 659-663
Author(s):  
Jian Li Yu ◽  
Ya Zhou Di ◽  
Lei Yin
Keyword(s):  
Neural Network ◽  
Pid Control ◽  
Robot Control ◽  
Control Algorithm ◽  
External Disturbance ◽  
System Model ◽  
Robot System ◽  
System Parameters ◽  
Cmac Neural Network ◽  
Neural Network Pid

According to the problem of nonlinear and uncertainty in robot control, this paper proposes a PID control algorithm based on CMAC neural network model, for the elimination of the influence of uncertainty caused by robot system parameters and external disturbance. The simulation results show that this algorithm can effectively overcome the uncertainties and external disturbance of robot system model, this algorithm has good robustness and stability, its performance is superior to the traditional PID control algorithm.

Two Wheel Differential Robot Kinematic Analysis and Control

2012 ◽  
Vol 548 ◽  
pp. 848-852
Author(s):  
Wei Xin Wang ◽  
Wei Zhang
Keyword(s):  
Motion Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Model ◽  
System Response ◽  
Robot Motion ◽  
Input And Output ◽  
Fuzzy Control Strategy ◽  
And Control ◽  
The Membership Function

The paper analyse the two wheel differential robot motion control, and the membership function of affiliation between the amount of input and output was established.Then combine the incremental PID control algorithm with fuzzy control strategy, and it was used to the two wheel differential robot motion control model. By the MATLAB for simulation, get the control system response curve and achieve a satisfactory result.

Modeling and Control of a Multiphase Modular High-Frequency Converter/Inverter for Vehicle Applications

2018 ◽  
Vol 27 (03n04) ◽  
pp. 1840014
Author(s):  
Kiarash Ahi
Keyword(s):  
High Frequency ◽  
Control Algorithm ◽  
Frequency Converter ◽  
Switching Frequency ◽  
Effective Frequency ◽  
Boost Converters ◽  
Modeling And Control ◽  
Equivalent Models ◽  
Simulation Results ◽  
And Control

This paper presents a novel control algorithm for a modular high-frequency converter. This control algorithm is designed to achieve an effective frequency higher than the switching frequency on the passive elements. As a result, the ripple on the output is suppressed, and smaller capacitors can be used. In this work, the modular high-frequency converter is modeled by equivalent boost converters. Based on the equivalent models a control algorithm is developed. The accuracy of the algorithm has been verified by simulation results using PLECS in the MATLAB/Simulink environment.

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