Design of robust PID controller for Buck converter using Bat algorithm

Omer, Prabhu; Kumar, Jagdish; Surjan, Balwinder Singh

doi:10.1109/icpeices.2016.7853209

Cited by 8 publications

(8 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Mutation operator modifies a habitat's SIV randomly based on mutation rate. The mutation rate m j is expressed in Equation (30).…”

Section: Biogeography-based Optimization Algorithmmentioning

confidence: 99%

“…Several bioinspired algorithms have been used for the calculation of conventional controller gains are detailed in different works. In reference [30], the BA is used to optimize a PID robust controller that takes care of maintaining a constant voltage level at the load of a DC-DC converter. Similarly, in reference [31] a BA searches for the gains of a PI controller to calculate the maximum power point of a photovoltaic system that supplies the current and voltage for a switchable reluctance motor.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Parameter Tuning of PI Control for Speed Regulation of a PMSM Using Bio-Inspired Algorithms

et al. 2019

View full text Add to dashboard Cite

This article focuses on the optimal gain selection for Proportional Integral (PI) controllers comprising a speed control scheme for the Permanent Magnet Synchronous Motor (PMSM). The gains calculation is performed by means of different algorithms inspired by nature, which allows improvement of the system performance in speed regulation tasks. For the tuning of the control parameters, five optimization algorithms are chosen: Bat Algorithm (BA), Biogeography-Based Optimization (BBO), Cuckoo Search Algorithm (CSA), Flower Pollination Algorithm (FPA) and Sine-Cosine Algorithm (SCA). Finally, for purposes of efficiency assessment, two reference speed profiles are introduced, where an acceptable PMSM performance is attained by using the proposed PI controllers tuned by nature inspired algorithms.

show abstract

“…Mutation operator modifies a habitat's SIV randomly based on mutation rate. The mutation rate m j is expressed in Equation (30).…”

Section: Biogeography-based Optimization Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Parameter Tuning of PI Control for Speed Regulation of a PMSM Using Bio-Inspired Algorithms

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Robust PID diterapkan ke DC-DC buck converter oleh (Omer, Kumar, & Surjan, 2016). (Omer et al, 2016) menggunakan algoritma Bat untuk mendapatkan sistem kendali robust PID. DC-DC converter merupakan sistem non linear disebabkan oleh sistem switching.…”

Section: Pendahuluanunclassified

Rancang Bangun Quadrotor Dengan Kendali Robust Pid Untuk Pemetaan Sawah Pra Panen

Firmansyah

Sumanto

Mareta

2018

JNTT

View full text Add to dashboard Cite

Field mapping is important to know the potential of agricultural productivity in a region.Furthermore, field mapping can also be used to predict crops in a region. The mapping can be donethrough aerial photographs. Aerial photographs can be performed using manned aerial vehicle aswell as unmanned aerial vehicle. Currently, many aerial photographs are taken using unmannedaerial vehicle because the cost is much more affordable than using a manned aerial vehicle. One typeof unmanned aircraft used for aerial photographs is quadcopter. However taking aerial photographsusing a quadcopter often produces blurry images due to its instability. Instability of the quadcopter iscaused by several factors including sensor readings such as IMU, GPS, compass, and barometer,disturbance factors such as angina, and control systems that are less robust to quadcopter characters.To get a stable quadcopter, a control system that matches the quadcopter character and has aresistance to interference is needed. One of the control systems that can be applied to the quadcopteris the Robust PID control system. Reliability of the control system can be seen using ITAE (IntegralTime Absolute Error). The smaller the value of ITAE the better the control system. Some tuningmethods are done to get the Robust PID control system. The method used in this research is ZieglerNicols, fine tuned PID controller, and ITAE tuning method. The result of PID constant tuning is thenimplemented to quadcopter. In this study the response data was obtained by using IMU sensor. Theresult shows that of the three tuning methods implemented in the quadcopter, the Fine tuning methodgives better results than the others.

show abstract

“…In [5], classical QFT has been used for designing the robust controller. In [39], the bat algorithm has been used for the design of the robust H∞ controller. In [40], the efficacy of the QFT-based PID controller over a Ziegler-Nichols-tuned PID controller has been demonstrated.…”

Section: Literature Reviewmentioning

confidence: 99%

“…ese algorithms aim at finding the optimum values for the controller, and the prefilter gains [K P , K I , K D , a, b] such that the predefined QFT objectives are satisfied. Equation (39) gives the QFT controller synthesis objective function, which has been expressed as aggregate of function:…”

Section: Synthesis Of the Qft Controller And Prefilter Using Metaheurmentioning

confidence: 99%

Design of Optimal QFT Controller and Prefilter for Buck Converter Using Metaheuristic Algorithms

Katal

Narayan

2018

Modelling and Simulation in Engineering

View full text Add to dashboard Cite

A buck converter is a step-down switching regulator. Buck convertors are being widely used in industrial applications that rely on regulated output voltage under fluctuating input voltage. A buck convertor works in the following modes: (a) current-controlled or (b) voltage-controlled mode. But these convertors manifest several nonlinearites because of the switching operation. Hence, in order to generate a quality output of the convertor, the design of a controller becomes crucial. In this paper, the synthesis of a QFT-based robust controller and prefilter has been carried out for an uncertain buck converter with varying input voltage and varying load. The controller synthesis problem has been posed as an optimization problem, and metaheuristic algorithms have been used for obtaining the optimal gains for the QFT controller and prefilter. By doing this, the QFT synthesis can be carried out in a single step instead of following the sequential classical QFT process on Nichols charts and the need for the generation of templates and bounds has be eliminated. The designed 2-degree-of-freedom QFT control system offers a robust behavior and efficiently handles the parametric uncertainties. The robustness of the designed controller has been confirmed through simulation results for large input voltage and load fluctuations.

show abstract

Design of robust PID controller for Buck converter using Bat algorithm

Cited by 8 publications

References 9 publications

Parameter Tuning of PI Control for Speed Regulation of a PMSM Using Bio-Inspired Algorithms

Parameter Tuning of PI Control for Speed Regulation of a PMSM Using Bio-Inspired Algorithms

Rancang Bangun Quadrotor Dengan Kendali Robust Pid Untuk Pemetaan Sawah Pra Panen

Design of Optimal QFT Controller and Prefilter for Buck Converter Using Metaheuristic Algorithms

Contact Info

Product

Resources

About