Adaptive backstepping controller design on Buck converter with a novel improved identification method

et al. 2022

Preprint

A Fractional-order Proportional-Integrated-Derivative (FO-PID) controller is designed for the Buck converter, which in the control parameters are optimized by Antlion Optimization (ALO) algorithm. The Fractional-Order concept is a beneficial scheme that can provide several advantages such as lower sensitivity to parametric variation and noise. Also, the ALO algorithm is a modern nature-inspired algorithm used to tune the PID gains with better results under-constrained problems with diverse search spaces. Considering numerous disturbance on power converters, a FO-PID controller can be an appropriate alternative since it has a good robustness against harmful disturbances and has simple structure to be implemented in industrial applications. To better examine the superiority of the proposed method, conventional FO-PID and PID control techniques are also designed to be compared with this work. Both simulation and experimental results verify the robustness of the proposed method in different challenging scenarios.

Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Fractional-Order PID Controller Design on Buck Converter with Antlion Optimizer Algorithm

ghorbani

yosefi²,

et al. 2022

Preprint

“…In the previous parts, some of the limitations of the RLS method are discussed, and some solutions were proposed to manage them [35]. Additionally, the negative impact of noise cannot be neglected since all the practical applications suffer from this harmful phenomenon.…”

Section: Robust Identification Algorithmmentioning

confidence: 99%

Self‐tuning regulator adaptive controller design for DC‐DC boost converter with a novel robust improved identification method

Mollaee

Khavari

2022

IET Power Electronics

Self Cite

The design of a self-tuning regulator adaptive controller is presented for Boost converter using Pulse Width Modulation, which has been improved in dynamic with a novel Robust Improved Exponential Regressive Least Square identification scheme. Regarding the negative influences of harmful disturbances on the converters, the Minimum Degree Pole Placement technique is designed using an adaptive mechanism with an online identification technique, which is simple in structure and can provide more accurate parametric estimation and better efficiency in challenging situations, particularly against noise. Based on the right half-plane zero structure of the Boost converter, the open-loop system is called a non-minimum phase system which creates some challenging constraints for the controller design. The primary objective of designing a feedback loop controller is to ensure the stability of the system and appropriate regulation within a pre-determined range of operating conditions. This controller considers the system as a black-box structure; thus, the mathematical model of the system is not needed. This benefit can decrease the computational burden, and provides faster dynamics along with ease of implementation. Finally, the strength of this control strategy is tested by experimental and simulation results in different conditions.

“…The topology selected for this work is a Buck-Boost converter with the ability to operate in step-up and step-down modes. At the same time, it is benefited from minimum numbers of electrical components, higher efficiency, and lower weight and cost of the structure [1][2][3]. The primary aim of utilizing power converters is regulating the output voltage and ensuring a robust dynamic performance.…”

Section: Introductionmentioning

confidence: 99%

Design of a novel robust adaptive cascade controller for DC‐DC buck‐boost converter optimized with neural network and fractional‐order PID strategies

The Journal of Engineering

Jouybari

Mollaee

et al. 2023

Self Cite

A cascade technique with two control loops is designed for a DC\DC Buck-Boost converter that is a right half-plane zero (RHPZ) structure called a non-minimum phase system. This concept presents several challenging constraints for designing well-behaved control techniques. Cascade controllers can provide various benefits compared with single loop controllers such as higher safety, higher robustness, and higher stability. This strategy assumes the system as a black-box structure without the need for a mathematical model of the system. This benefit can decrease the computational burden and provides faster dynamics along with ease of implementation. This technique consisted of an outer Fractional-order PID voltage controller tuned with the Antlion Optimizer (ALO) algorithm, which provides a reference current for the inner control loop of the Neural Network-based LQR (NN-LQR) controller. The basic principle in cascade controllers is a more rapid performance of the inner loop that has been satisfied with the NN-LQR strategy, which optimizes and tunes the gains of the LQR controller and shows faster dynamics and higher robustness. It should be mentioned that the number of neurons is limited to 2 and 4 in each layer to decrease the computational burden with lower complexity. Also, the ALO algorithm is a modern nature-inspired algorithm used to tune the PID gains with better results under-constrained problems with diverse search spaces. Considering the negative impacts of various disturbances on a power converter, a Fractional-order-based PID (FO-PID) control technique is a proper alternative since it shows higher robustness in load uncertainties along with better dynamical responses based on its extra degree of freedom. Moreover, to evaluate the superiority of this controller, two other controllers are designed using the PSO algorithm for PID and FO-PID controllers. Finally, the presented cascade controller has been tested in various working conditions through simulation and experiment results.