Swarm-based robust fixed-structure controller design for buck converter using Kharitonov approach: design and experiment

Robust self-tuning regressive adaptive controller design for a DC–DC BUCK converter

Measurement ◽

10.1016/j.measurement.2021.109071 ◽

2021 ◽

Vol 174 ◽

pp. 109071

Author(s):

S. Morteza Ghamari ◽

Hasan Mollaee ◽

Fatemeh Khavari

Keyword(s):

Controller Design ◽

Adaptive Controller ◽

Buck Converter ◽

Self Tuning

Get full-text (via PubEx)

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

Al-Khwarizmi Engineering Journal ◽

10.22153/https://doi.org/10.22153/kej.2018.01.009 ◽

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%.

Get full-text (via PubEx)

Fractional fixed-structure H∞ controller design using Augmented Lagrangian Particle Swarm Optimization with Fractional Order Velocity

Applied Soft Computing ◽

10.1016/j.asoc.2019.01.037 ◽

2019 ◽

Vol 77 ◽

pp. 688-695 ◽

Cited By ~ 18

Author(s):

Esmat Sadat Alaviyan Shahri ◽

Alireza Alfi ◽

J.A. Tenreiro Machado

Keyword(s):

Particle Swarm Optimization ◽

Fractional Order ◽

Augmented Lagrangian ◽

Controller Design ◽

Particle Swarm ◽

Lagrangian Particle ◽

Swarm Optimization ◽

Fixed Structure

Get full-text (via PubEx)

A Simple Analog Feed-Forward Controller Design for DC-DC Buck Converter

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.643.61 ◽

2015 ◽

Vol 643 ◽

pp. 61-67

Author(s):

Shu Wu ◽

Yasunori Kobori ◽

Haruo Kobayashi

Keyword(s):

Transient Response ◽

Pulse Width Modulation ◽

Controller Design ◽

Buck Converter ◽

Charge Balance ◽

Feed Forward ◽

Feed Forward Control ◽

Single Output ◽

Output Capacitor ◽

Feed Forward Controller

This paper presents usage of analog feed-forward control to improve the transient response of DC-DC buck converters with pulse-width-modulation (PWM). The analog feed-forward controller is simple and does not require complicated calculations. Duty cycle is modulated directly based on the charge balance of the output capacitor. Compared with conventional feedback control, this simple feed-forward controller reduces control delay and provides a satisfactory transient response. We apply this technique to a Single-Inductor-Dual-Output (SIDO) buck converter as well as a Single-Inductor-Single-Output (SISO) buck converter, and show that its cross-regulation is improved. We have validated the proposed method with SIMetrix simulations.

Get full-text (via PubEx)

Fixed-structure controller design for discrete-time systems with actuator amplitude and rate saturation constraints

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251) ◽

10.1109/acc.1999.786221 ◽

1999 ◽

Cited By ~ 6

Keyword(s):

Discrete Time ◽

Controller Design ◽

Discrete Time Systems ◽

Saturation Constraints ◽

Fixed Structure ◽

Time Systems

Get full-text (via PubEx)

Fixed structure PID controller design for standard H∞ control problem

Automatica ◽

10.1016/j.automatica.2005.07.006 ◽

2006 ◽

Vol 42 (1) ◽

pp. 93-100 ◽

Cited By ~ 55

Author(s):

Masami Saeki

Keyword(s):

Control Problem ◽

Pid Controller ◽

Controller Design ◽

Pid Controller Design ◽

Fixed Structure

Get full-text (via PubEx)

Fixed Structure Feedforward Controller Design Exploiting Iterative Trials: Application to a Wafer Stage and a Desktop Printer

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.2957626 ◽

2008 ◽

Vol 130 (5) ◽

Cited By ~ 79

Author(s):

Stan H. van der Meulen ◽

Rob L. Tousain ◽

Okko H. Bosgra

Keyword(s):

High Precision ◽

Controller Design ◽

Tracking Error ◽

Quadratic Function ◽

Detailed Knowledge ◽

Convex Optimization Problem ◽

Servo Systems ◽

Feedforward Controller ◽

Fixed Structure ◽

Parameter Values

In this paper, the feedforward controller design problem for high-precision electromechanical servo systems that execute finite time tasks is addressed. The presented procedure combines the selection of the fixed structure of the feedforward controller and the optimization of the controller parameters by iterative trials. A linear parametrization of the feedforward controller in a two-degree-of-freedom control architecture is chosen, which results in a feedforward controller that is applicable to a class of motion profiles as well as in a convex optimization problem, with the objective function being a quadratic function of the tracking error. Optimization by iterative trials avoids the need for detailed knowledge of the plant, achieves the controller parameter values that are optimal with respect to the actual plant, and allows for the adaptation to possible variations that occur in the plant dynamics. Experimental results on a high-precision wafer stage and a desktop printer illustrate the procedure.

Get full-text (via PubEx)