# A Hybrid Moth-Flame Fuzzy Logic Controller Based Integrated Cuk Converter Fed Brushless DC Motor for Power Factor Correction

^{1}

^{2}

^{3}

^{4}

^{5}

^{*}

## Abstract

**:**

## 1. Introduction

## 2. PFC of BLDC Motor Utilizing Proposed Technique

#### 2.1. Modelling Phase

_{1}and L

_{2}store energy while C

_{1}discharges energy, which is shown in Figure 2a. In the second interval, the S is turned $OFF$, the switched inductor is responsible for energy storing, and C

_{1}gets discharged using switch (S) which relocates DC link capacitor (C

_{2}) depicted with Figure 2b.

_{2}. While S is $OFF$ in the second state but C

_{1}(intermediate capacitor) completely discharged energy and performs the DCM operation; hence no energy is left in switched inductor input and voltage remains zero during this operation. In the third interval, the intermediate capacitor starts charging continuously by input inductor L

_{1}during turn off condition.

^{r}= ω

_{r}t = angular displacement of rotor in degrees,

_{r}= angular speed in RPS,

#### 2.2. Controlling Phase

_{max}= Maximum time at which peak torque occurs

_{min}= Minimum time at which minimum torque occurs

## 3. Proposed MFFLC Algorithm

#### 3.1. Steps for Proposed MFO Algorithm

#### 3.2. Prediction of Control Signals Using FLC

- (i)
- Fuzzification Process: With the help of membership function selection, it converts crisp to linguistic parameters [32,33]. The error ${E}_{}(t)$ and the change of error ${E}_{c}(t)$ are considered as supply parameters of FLC, which is given as follows:$${E}_{}(t)={V}_{o}(t)-{V}_{ref}(t)$$$${E}_{g}(t)={E}_{p}(t)-{E}_{p-1}(t)$$
- (ii)
- Fuzzy Inference Engine: With the application of If-Then fuzzy rules, decisions are taken as follows:$$\mathit{If}{E}_{}is{A}_{i}and{E}_{c}is{B}_{i},THEN{Z}_{i}^{f}(t)is{f}_{i}(t)$$
- (iii)
- De-Fuzzification Process: In this method, fuzzy variables are defuzzified and converted to numerical output. It decides membership ability of output parameters. The outcome of the framework database is$${f}_{i}(t)={Z}_{i}^{f}(t)$$

## 4. Simulated Results and Discussions

#### 4.1. Test Case 1: Analysis of Constant Speed and Torque

#### 4.2. Test Case 2: Analysis of Constant Torque with Speed Variation

#### 4.3. Test Case 3: Analysis of Torque Variation with Constant Speed

## 5. Conclusions

## Author Contributions

## Acknowledgments

## Conflicts of Interest

## References

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**Figure 1.**Schematic structure of integrated Cuk converter based controlling strategy for brushless DC motor (BLDCM).

**Figure 2.**Design of integrated Cuk converter with different intervals of switching period: (

**a**,

**b**) continuous conduction mode (CCM), (

**c**) discontinuous inductor conduction mode(DICM) and (

**d**) Discontinuous Capacitor Voltage Mode (DCVM) modes.

**Figure 5.**Analysis of Speed using the (

**a**) proposed (

**b**) moth-flame optimization (MFO) method and (

**c**) proportional integral (PI) controller and Torque using the (

**d**) proposed (

**e**) MFO method and (

**f**) PI controller.

**Figure 6.**Analysis of current using the (

**a**) C

_{1}, (

**b**) L

_{1}, (

**d**) L

_{0}, (

**e**) switch and voltage using (

**c**) switch, (

**f**) DC link.

**Figure 7.**Analysis of EMF using the (

**a**) proposed (

**b**) MFO method and (

**c**) PI controller and pulse width modulation (PWM) using the (

**d**) proposed (

**e**) MFO method and (

**f**) PI controller.

**Figure 8.**Analysis of Speed using the (

**a**) proposed, (

**b**) MFO method, and (

**c**) PI controller and Torque using the (

**d**) proposed, (

**e**) MFO method, and (

**f**) PI controller.

**Figure 9.**Analysis of current using the (

**a**) C

_{1}, (

**b**) L

_{1}, (

**d**) L

_{0}, (

**e**) switch and voltage using (

**c**) switch, (

**f**) DC-link.

**Figure 10.**Analysis of EMF using the (

**a**) proposed (

**b**) MFO method and (

**c**) PI controller and PWM using the (

**d**) proposed (

**e**) MFO method and (

**f**) PI controller.

**Figure 11.**Analysis of Speed using the (

**a**) proposed (

**b**) MFO method and (

**c**) PI controller and Torque using the (

**d**) proposed (

**e**) MFO method and (

**f**) PI controller.

**Figure 12.**Analysis of current using the (

**a**) C

_{1}, (

**b**) L

_{1}, (

**d**) L

_{0}, (

**e**) switch and voltage using (

**c**) switch, (

**f**) DC link.

**Figure 13.**Analysis of EMF using the (

**a**) proposed (

**b**) MFO method and (

**c**) PI controller and PWM using the (

**d**) proposed (

**e**) MFO method and (

**f**) PI controller.

Methods | Power Factor | ||
---|---|---|---|

Case 1 | Case 2 | Case 3 | |

Proposed | 0.9772 | 0.9675 | 0.9428 |

MFO | 0.9542 | 0.9402 | 0.9156 |

PI controller | 0.9435 | 0.9292 | 0.8921 |

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**MDPI and ACS Style**

Kamalapathi, K.; Priyadarshi, N.; Padmanaban, S.; Holm-Nielsen, J.B.; Azam, F.; Umayal, C.; Ramachandaramurthy, V.K. A Hybrid Moth-Flame Fuzzy Logic Controller Based Integrated Cuk Converter Fed Brushless DC Motor for Power Factor Correction. *Electronics* **2018**, *7*, 288.
https://doi.org/10.3390/electronics7110288

**AMA Style**

Kamalapathi K, Priyadarshi N, Padmanaban S, Holm-Nielsen JB, Azam F, Umayal C, Ramachandaramurthy VK. A Hybrid Moth-Flame Fuzzy Logic Controller Based Integrated Cuk Converter Fed Brushless DC Motor for Power Factor Correction. *Electronics*. 2018; 7(11):288.
https://doi.org/10.3390/electronics7110288

**Chicago/Turabian Style**

Kamalapathi, Kuditi, Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Jens Bo Holm-Nielsen, Farooque Azam, Chandrahasan Umayal, and Vigna K. Ramachandaramurthy. 2018. "A Hybrid Moth-Flame Fuzzy Logic Controller Based Integrated Cuk Converter Fed Brushless DC Motor for Power Factor Correction" *Electronics* 7, no. 11: 288.
https://doi.org/10.3390/electronics7110288