scholarly journals Bat Algorithm Based an Adaptive PID Controller Design for Buck Converter Model

2020 ◽  
Vol 26 (7) ◽  
pp. 62-82
Author(s):  
Luay Thamir Rasheed
Keyword(s):  
Control System ◽  
Optimization Algorithm ◽  
Pid Controller ◽  
Tracking Error ◽  
Bat Algorithm ◽  
Input Voltage ◽  
Buck Converter ◽  
Control Action ◽  
On Line ◽  
Simulation Results

The aim of this paper is to design a PID controller based on an on-line tuning bat optimization algorithm for the step-down DC/DC buck converter system which is used in the battery operation of the mobile applications. In this paper, the bat optimization algorithm has been utilized to obtain the optimal parameters of the PID controller as a simple and fast on-line tuning technique to get the best control action for the system. The simulation results using (Matlab Package) show the robustness and the effectiveness of the proposed control system in terms of obtaining a suitable voltage control action as a smooth and unsaturated state of the buck converter input voltage of ( ) volt that will stabilize the buck converter system performance. The simulation results show also that the proposed control system when compared with the other controllers results has the capability of minimizing the rising time to (  sec) and the settling time to (  sec) in the transient response and minimizing the voltage tracking error of the system output to ( ) volt at the steady state response. Furthermore, the number of fitness evaluations is decreased.

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.

scholarly journals Modified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization

2018 ◽  
Vol 14 (3) ◽  
pp. 129-140
Author(s):  
Khulood E. Dagher
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Load Resistance ◽  
Buck Converter ◽  
Minimum Problem ◽  
Portable Devices ◽  
Elman Neural Network ◽  
Pid Controller Design ◽  
On Line ◽  
Local Minimum Problem

This paper describes a new proposed structure of the Proportional Integral Derivative (PID) controller based on modified Elman neural network for the DC-DC buck converter system which is used in battery operation of the portable devices. The Dolphin Echolocation Optimization (DEO) algorithm is considered as a perfect on-line tuning technique therefore, it was used for tuning and obtaining the parameters of the modified Elman neural-PID controller to avoid the local minimum problem during learning the proposed controller. Simulation results show that the best weight parameters of the proposed controller, which are taken from the DEO, lead to find the best action and unsaturated state that will stabilize the Buck converter system performance and achieve the desired output. In addition, there is a minimization for the tracking voltage error to zero value of the Buck converter output, especially when changing a load resistance by 10%.

A Study of PID Control System Based on BP Neural Network

2011 ◽  
Vol 328-330 ◽  
pp. 1908-1911
Author(s):  
Wei Liu ◽  
Jian Jun Cai ◽  
Xi Pin Fan
Keyword(s):  
Neural Network ◽  
Control System ◽  
Conjugate Gradient ◽  
Bp Neural Network ◽  
Pid Control ◽  
Pid Controller ◽  
Steepest Descent ◽  
The Neural Network ◽  
On Line ◽  
New Type

To deal with the defects of the steepest descent in slowly converging and easily immerging in partialm in imum,this paper proposes a new type of PID control system based on the BP neural network, which is a combination of the neural network and the PID strategy. It has the merits of both neural network and PID controller. Moreover, Fletcher-Reeves conjugate gradient in controller can make the training of network faster and can eliminate the disadvantages of steepest descent in BP algorithm. The parameters of the neural network PID controller are modified on line by the improved conjugate gradient. The programming steps under MATLAB are finally described. Simulation result shows that the controller is effective.

scholarly journals Zero Average Dynamic Controller for Speed Control of DC Motor

2021 ◽  
Vol 11 (12) ◽  
pp. 5608
Author(s):  
Fredy E. Hoyos ◽  
John E. Candelo-Becerra ◽  
Alejandro Rincón
Keyword(s):  
Direct Current ◽  
Control Strategy ◽  
Power Supply ◽  
Tracking Error ◽  
Reference Signal ◽  
Dc Motor ◽  
Buck Converter ◽  
Speed Tracking ◽  
Direct Current Motor ◽  
Simulation Results

This paper presents the use of the buck converter with Zero Average Dynamics to control the speed of a permanent magnet direct current motor. For this objective, we consider a fourth-order nonlinear model that describes the system’s dynamics and tests different scenarios to determine how the direct current motor responds. The results show a robust speed tracking performance of the direct current motor under the reference signal and controller parameter changes and disturbances in the load torque. A non-saturated duty cycle with fixed commutation frequency is obtained in the power supply of the DC motor, and a low steady-state value of the speed tracking error is achieved in both experimental and simulation results. In summary, the effectiveness of the Zero Average Dynamics control strategy for high order systems was experimentally proved.

Design of PID Controller Based on Compensation with Repetitive Control

2011 ◽  
Vol 105-107 ◽  
pp. 2125-2128
Author(s):  
Hong Liang Guo ◽  
Dong Jie Zhao ◽  
Ling Zhao ◽  
Qing Wang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Combustion Engine ◽  
Permanent Magnet Synchronous Motor ◽  
Tracking Error ◽  
Repetitive Control ◽  
Valve Train ◽  
Accuracy Control ◽  
Loop Control

Valve train is one of important mechanisms in internal combustion engine. The experiment is an important method to study the valve train. In the design of valve train experiment, the Permanent-Magnet Synchronous Motor (PMSM) is used as the driving force to drive the camshaft. PID controller based on compensation with repetitive control is designed to control the PMSM. It can eliminate all periodic errors in closed-loop control. And it has a virtue of nonparametric dependence on its control performance by combining with two control methods. An example has been given and simulation has been made. The simulation result shows that the controller apparently improves the position tracking precision and reduces the tracking error of servo system. So the PID control system based on compensation with repetitive control has a much higher accuracy than the PID control system has. It is fit for high-accuracy control of valve train.

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.

Simulation Research on the Basic Platform's Automatic Leveling System Based on SimHydraulics

2013 ◽  
Vol 345 ◽  
pp. 99-103 ◽  
Author(s):  
Yong Qing Chen ◽  
Xin He Xu ◽  
Hua Ling Zhu ◽  
Shi De Ye ◽  
Liang Tao Li
Keyword(s):  
Control System ◽  
Steady State ◽  
System Design ◽  
Simulation Study ◽  
Pid Controller ◽  
System Simulation ◽  
Proportional Valve ◽  
Simulation Research ◽  
Adjustment Time ◽  
Simulation Results

Based on the MATLAB/SimHydraulics toolbox, an automatic leveling system controlled by electro-hydraulic proportional valve was simulated and researched. With the help of Hydraulic components models in the SimHydraulics toolbox, the SimHydraulics Physical Network simulation and the Simulink control system simulation was integrated used, and the Simulink modules powerful numerical processing capability helped to improve the efficiency and accuracy of the system design. The simulation results showed that:The use of SimHydraulics toolbox on the simulation study of automatic leveling system controlled by electro-hydraulic proportional valve is feasible; The adjustment time of the automatic leveling system is short and the steady-state accuracy is high based on the PID controller.

scholarly journals Nonlinear Controller for the Set-Point Regulation of a Buck Converter System

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5760
Author(s):  
Eduardo Campos-Mercado ◽  
Edwin Fernando Mendoza-Santos ◽  
Jorge Antonio Torres-Muñoz ◽  
Edwin Román-Hernández ◽  
Víctor Iván Moreno-Oliva ◽  
...  
Keyword(s):  
Embedded System ◽  
Pid Controller ◽  
Variable Parameter ◽  
Input Voltage ◽  
Buck Converter ◽  
Control Input ◽  
Nonlinear Controller ◽  
Integral Control ◽  
Operation Conditions ◽  
Nonlinear Pid Controller

In this paper, we present a nonlinear PID controller based on saturation functions with variable parameters in order to regulate the output voltage of a buck converter in the presence of changes in the input voltage. The main feature of the proposed controller is to bound the control input with a variable parameter to avoid the windup effect generated by the combination of the integral control action and some operation conditions. The main advantages of the proposed nonlinear PID controller are its low computing cost and the simple tuning task to implement the control strategy in an embedded system. The acceptable behavior of the closed-loop system is presented through the simulation and experimental results.

scholarly journals Adaptive On-Time Control Buck Converter with a Novel Virtual Inductor Current Circuit

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2143 ◽  
Author(s):  
Hsiao-Hsing Chou ◽  
Hsin-Liang Chen ◽  
Yang-Hsin Fan ◽  
San-Fu Wang
Keyword(s):  
Control Mechanism ◽  
Circuit Complexity ◽  
Design Procedure ◽  
Input Voltage ◽  
Cmos Technology ◽  
Buck Converter ◽  
Load Step ◽  
Time Control ◽  
Simulation Results ◽  
Step Down

This study presents a new virtual inductor current circuit to reduce circuit complexity, which is not necessary to sense inductance current directly. The buck converter was designed to produce an output voltage of 1.0–2.5 V for a 3.0–3.6 V input voltage. The load current range was from 100 mA to 500 mA. It was simulated and verified by SIMPLIS and MathCAD. The simulation results of this buck converter show that the voltage error is within 1%, and the recovery time is smaller than 2 ms for step-up and step-down load transients. Additionally, it achieves less than 26 mV overshoot at full-load step transient response. The circuit topology would be able to fabricate using TSMC 0.35 mm 2P4M CMOS technology. The control mechanism, implementation, and design procedure are presented in this paper.

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