An Optimized Disturbance Observer Based Digital Deadbeat Control Technique for Three-Phase Voltage Source Inverter

Rasool, Muhammad Ahmad Usman; Khan, Muhammad Mansoor; Faiz, Muhammad Talib; Tahir, Sohaib; Zhang, Guoqing

doi:10.1145/3277453.3286094

Cited by 5 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Each ant's fitness stores in M OA , the antlion numbers and variable, numbers are shown by n and d , and TL i, j depicts the j th dimension's rate of ith antlion. In every step, the position of each ant is updated by a random walk which is illustrated by (11).…”

Section: Optimizer Algorithm Of Antlionmentioning

confidence: 99%

“…Proportional-integrated-derivative (PID) and hysteresis controllers are the most common control strategies thanks to their simple structure, suitable efficiency, and appropriate cost. In [9][10][11], hysteresis and PID control schemes are used for the buck-boost converter to track and regulate the load voltage where a good performance can be seen; however, these are not robust against parametric variations and load uncertainties. Due to switching characteristics of the buck-boost converters, numerous control techniques are implanted for this topology, as follows: sliding-mode control [12], predictive control [13], and dead beat technique [14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel adaptive cascade controller design on a buck–boost DC–DC converter with a fractional‐order PID voltage controller and a self‐tuning regulator adaptive current controller

Mollaee

Ghamari

Saadat

et al. 2021

IET Power Electronics

View full text Add to dashboard Cite

The design of a cascade controller is demonstrated for a buck-boost converter that is combined with two control loops consisting of inner and outer controllers. The outer loop is implemented by a fractional-order proportional-integrated-derivative (FO-PID) controller that works as a voltage controller and generates a reference current for the inner control loop. To provide faster dynamic performance for inner loop, a self-tuning regulator adaptive controller, which tries to regulates the current with the help of a novel improved exponential regressive least square identification in an online technique, is designed. Moreover, in the outer loop, to tune the gains of the FO-PID controller, a novel algorithm of antlion optimizer algorithm is used that offers many benefits in comparison with other algorithms. The system provided by the boost mode is a non-minimum phase system, which creates challenges for designing a stable controller. In addition, a single loop controller is proposed based on a PID controller tuned by a particle swarm optimization algorithm to be compared with the cascade controller. Cascade loop can present significant benefits to the controller such as better disturbance rejection. Finally, the strength of the presented cascade control scheme is verified in different performing situations by real-time experiments.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Section: Optimizer Algorithm Of Antlionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel adaptive cascade controller design on a buck–boost DC–DC converter with a fractional‐order PID voltage controller and a self‐tuning regulator adaptive current controller

Mollaee

Ghamari

Saadat

et al. 2021

IET Power Electronics

View full text Add to dashboard Cite

show abstract

“…Table 2 shows the values of gain selected for the optimum design of PI and DB predictive controllers. The design of the DB predictive controller consists of an inner current loop and an outer voltage loop designed by the DB predictive control scheme described in references [21,22]. However, for an optimum design and precise voltage control, a disturbance observer and a state estimator have been incorporated into the system.…”

Section: Design Of the H∞ Voltage Controllermentioning

confidence: 99%

Analysis of an H∞ Robust Control for a Three-Phase Voltage Source Inverter

et al. 2019

View full text Add to dashboard Cite

Recently, power quality improvement has gained a lot of attention due to the rapidly increasing use of power electronics equipment. Several control strategies for DC/AC Voltage Source Inverters (VSI) have been developed to obtain good quality output with low harmonic distortion. This paper proposes a robust control scheme to improve the power quality of a three-phase DC/AC VSI. The control scheme includes an outer voltage loop and an inner current loop, with both controllers designed by the standard H∞ robust control technique. The system with the proposed controller has a low total harmonic distortion (THD) and improved power quality of output voltage in the presence of linear and non-linear loads. The simulation is carried out in MATLAB/Simulink environment, and the results of the proposed control scheme are compared with the performance of dead-beat (DB) predictive control and conventional proportional integral (PI) control. It is observed from the results that the proposed control scheme outperforms other control schemes in terms of the THD level, having a better steady-state and transient performance.

show abstract

“…Furthermore, in an active damping technique, closed-loop control strategies can be proposed [7]. Hence, because of the switching properties of inverter, control strategies such as sliding-mode control [8,9], dead beat technique [10,11], and internal model control [12] have been proposed. In fact, the greatest benefit of dead beat, internal model, and sliding-mode controllers is that they provide an output load waveform without ringing and overshoot.…”

Section: Introductionmentioning

confidence: 99%

Adaptive neuro‐fuzzy inference systems (ANFIS) controller design on single‐phase full‐bridge inverter with a cascade fractional‐order PID voltage controller

Saadat¹,

Ghamari²,

Mollaee³

et al. 2021

IET Power Electronics

View full text Add to dashboard Cite

Adaptive neuro-fuzzy inference system (ANFIS) technique is a significant alternative of research which is structured with a combination of two soft-computing strategies of fuzzy logic and artificial neural network. The design of ANFIS controller for a single-phase fullbridge inverter with pulse width modulation is demonstrated here in the presence of different disturbances. Moreover, an LC filter is designed to decrease the disturbing harmonics which the stability of the filter can be noted as an important issue. Based on the fuzzy C-mean clustering method used for decreasing fuzzy rules, the computational burden has been improved resulting in faster dynamic performance. This method considers the system as a black-box structure which omits the need for an exact model of system and can be an appropriate technique for ill-defined systems. Additionally, to deal with the variations of supply DC voltage, a fractional-order proportional-integral-derivative controller is designed which is tuned by particle swarm optimiser algorithm and can generate a sinusoidal reference for the system input. This double-loop control technique is known as cascade control strategy. It can be seen that ANFIS scheme provides appropriate results with less computational burden and simple structure with optimised responses in challenging conditions. The capability of the proposed method is validated for different operating conditions through simulation and experimental results.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

An Optimized Disturbance Observer Based Digital Deadbeat Control Technique for Three-Phase Voltage Source Inverter

Cited by 5 publications

References 15 publications

A novel adaptive cascade controller design on a buck–boost DC–DC converter with a fractional‐order PID voltage controller and a self‐tuning regulator adaptive current controller

A novel adaptive cascade controller design on a buck–boost DC–DC converter with a fractional‐order PID voltage controller and a self‐tuning regulator adaptive current controller

Analysis of an H∞ Robust Control for a Three-Phase Voltage Source Inverter

Adaptive neuro‐fuzzy inference systems (ANFIS) controller design on single‐phase full‐bridge inverter with a cascade fractional‐order PID voltage controller

Contact Info

Product

Resources

About