 Open Access
 Authors : Alsharef Mohammad
 Paper ID : IJERTV11IS040050
 Volume & Issue : Volume 11, Issue 04 (April 2022)
 Published (First Online): 18042022
 ISSN (Online) : 22780181
 Publisher Name : IJERT
 License: This work is licensed under a Creative Commons Attribution 4.0 International License
Experimental Investigation of a Non Integer Control for a MicroGrid Integrated Battery Storage System using Dual Active Bridge
Alsharef Mohammad
Department of Electrical Engineering, College of Engineering, TAIF University KSA,
AbstractThis paper addresses the voltage regulation problem of a microgrid integrated battery storage system driven by single phase dual active bridge (DAB) using fractional order proportional, integral derivative (FOPID) control system. The fractional operators are approximated using infinite impulse response (IIR) filter and the corresponding FOPID control system is realized using TI Launchpad (TMS320F28379D) for a low power bidirectional converter using rapid prototyping concepts from MATLAB/Simulink environment. The controller is tested with variable reference command and the results are compared experimentally with integer order PID control system. From the presented experimental results, it is obvious that I comparison to the classical proportional, integral derivative (PID) controller, the proposed method ensures fast transient response and lowest steady state error.
KeywordsDC microgrid, dual active bridge, PID control, fractional order control.

INTRODUCTION
Due to rise in environmental pollution, human community is compelled to explore clean and sustainable energy resources and infrastructure, therefore inclination of modern world for energy utilization is more towards clean power generation [1]. However, the unpredictable nature of these renewable sources requires stable integration of such sources into the microgrid, which is very complex. The smallscale microgrid consists of different generation sources and all these are connected to the common the common bus.
Generally there are two types of converters i.e. isolated and nonisolated type converters. The isolated converters are mainly used for bidirectional power flow [2]. DAB converter is the most promising topology in isolated converters allowing bidirectional power ow, soft switching operation and high power density. Due to these advantages, various applications of DAB are distributed power systems, renewable energy systems, and hybrid / electric vehicles and so on [37].
Moreover, to reduce switching losses, Single phase shift (SPS) modulation technique is the most commonly used technique. In SPS technique, phase shifts is inserted between the primary and secondary side bridges of the transformer. Other modulation technique such as enhanced phase shift (EPS), double and triple phase shift (DPS&TPS) are also reported to minimize high circulating current [89]. In DPS There are two degrees of freedom, namely phase shift 1and 2 to adjust the control of the power ow. 1is introduced between the complementary switches of the primary side bridge whereas, the outer phase shift 2 is
incorporated between the two bridges of the DAB. Furthermore, triple phase shift modulation technique implements threedegree control variable [10]. However, these modulation techniques have their own limitations due to their higher degrees of complexities.
Stable regulation of output voltage requires close loop control techniques. Several control strategies have been proposed, including linear and nonlinear control techniques. Linear controllers such as single loop or dual loop PID are easy to implement. However, variation in circuit parameters and model uncertainties can degrade the converter performance. Fixed gain PI controller is reported in [1112] and Articial Neural Network (ANN) based control is proposed in [13]. Apart from linear, nonlinear control techniques show encouraging performance under circumstance of variable source or load. However, nonlinear controllers are complex and require more computational time for its implementation [1416]. This paper proposes fractional order PID control method for voltage loop of the secondary side bridge of the DAB topology. The organization of the paper is detailed as following. Section II represents Notation; Section III discusses problem formulation. Section IV presents the results and discussion. Conclusion is made in section V

PROBLEM STATEMENT
A. Dual active bridge configuration
Block diagram representations of a DC microgrid and DAB converters are shown in figure 1a and figure 1b respectively. As shown in the diagram, two Hbridges are integrated using high frequency transformer. Each Hbridge comprises of four switching devices, a dc capacitors and leakage inductor Ls is connected with secondary of high frequency transformer. Square voltage wave forms are obtained by switching the bridges H1 and H2 by using complementary constant pulse width modulating signal (PWM) with 50% duty cycle. Bidirectional power flow is possible by adjusting the parameter of the output voltages V1 and V2 of Hbridges respectively
(a)
(b)
Figure 1 (a) DC micogrid (b) Configuration of bidirectional dual active bridge converter
In SPS, the output power can be expressed by the following expression.
signal. In addition, in real scenarios, reference signal is
variable, therefore the selection of and has to be done carefully to increase the tracking accuracy of the voltage
loop. In addition, SPS modulation technique is used to generate the drive signal. Since a digital processor is used in the experimentation, therefore high frequency phase shifted PWM signals are generated to drive the bidirectional DAB converter. However; due to the incomplete knowledge of the model parameters and ignorance of high order dynamics in the DAB model [1], selection of the optimal parameters of the classical PI controller is a challenging task. Therefore in the subsection discussed below, a noninteger PI controller is introduced with high degree of freedom to adjust system performance.
C. Fractional order control
In this subsection, fractional order control system is introduced. Fractional order controllers offer several advantages over the conventional methods such as high degree of freedom, robustness to noise and robustness. A general representation of a noninteger PID controller is represented in figure 2.
Figure 2 Fractional order PID control
= 2 2
( ) [ , + ] (1)
2 2
Where fs is the frequency of switching and n represents the
transformer turn ratio. Capacitors of 100 F and 330 F are connected at both ends to smooth the output voltage.
As shown in figure 2, a fractional order PID controller has a total of five degrees of freedom that includes Kp , Ki , Kd
Referring to [1], and based on 1st harmonic of the Fourier
, D
and D . Where and represent the fractional
series the state model of a DAB converter is expressed as
follows:
orders of integration and derivative terms.
Before expressing a fractional order PID control method, we
X A x B xU
Where the terms A(x) and B(x) are expressed as follows
(2)
introduce some basic fractional order definitions.
Definition 1:
Fractional operator is defined as given in Eq. 3 [17].
8
A(x)
cos z n
V
2
Cout
n1,3,5,..
n2 Z n
out
(3)
, () > 0
B(x) 8
1
NV
{1, () = 0
(5)
2
Cout
n1,3,5,..
,
n2 Z n in
, () < 0
Where ( represents the impedance of the two bridges,
Cout represents output capacitance and () represents the
phase difference of the modulating signals between the two
bridges of the DAB converter.
B. Classical proportional integral (PI) control
The expression for a classical PI controller is expressed as follows:
Where R () is set of real numbers, based on (5), the
definition of fractional operator is characterized into following three categories [17].
Definition 2:
The RiemannLiouville definition is given in Eq. 6 and 7. [18].
u = kpe(t) + ki e()dt + () (4)
1
() =
( )
() =
where , , refer to the control system gains. The error term is defined as follows: () = () (). where
() is the system output voltage and () is the reference
() ()+1 (6)
() = () =
1
()
()
()1
(7)
Here 1 < < and G, represents the Gama
function.
Definition 3: The Caputo definition is given in Eq. 6 [18].
=
1
( )
( )
( )+1
( 1 < )
{ ()( = )
(8)
Definition 4: For a given, the GL definition is expressed as following [18],
Figure 3 Steps for practical implementation of fractional operator

EXPERIMENTAL SETUP
GL 1
[( t )/ h ]j
To implement the FOPI controller, a scaled down laboratory
D
a t x(t) lim
h0 h
j 0
(1)
x(t jh)
j
test bench of 150 watts power rating is developed as shown in Fig. 4. A 12 V DC power supply is connected with the
( 1)
primary bridge
H1 and 24 V battery bank is connected with
j
( j 1)( j 1)
(9)
secondary bridge H2 . The proposed control scheme is implemented using a Texas Instrument Launchpad control card TMS320F28379D with a sampling time of 1e5 seconds.
The details of circuit parameters for the experimental setup
From (9), the Gama function and time step are represented by
and h respectively. Based on above definitions, the fractional order PID controller is defined as follows.
() = () + () + () (10)
Therefore, the fractional control system depends on the
adjustment of parameters i.e. = ,, and the fractional
orders , .
D. Implementation of fractional operator
The fractional controllers are becoming popular because of its robustness and high flexibilities in design. However, the real time implementations of FOPI controller are far different from its integer counterpart as it involves the fractional integrator and differentiator, which has high memory requirements. To implement the FOPI controller, proper approximation is required for the integrator and differentiators. In this paper, Oustaloup filter is used for the approximation of noninteger integrator and differentiator. The filter provides the continuousdomain values of poles and zeros that are converted into zdomain and finally using IIR filter the practical implementations are carried out. Rest of the process is carried out according to the steps as shown in Figure 3.
are shown in table I and controller parameters are shown in table II.
Figure 4 Experimental Setup of DAB converter testing
Symbol
QUANTITY
Values
P
Vin Vo
Cin, Cout
N
Lk R
Power rating Voltage input
Voltage output Capacitance Transformer Turn Ratio
Equivalent inductor Load
50W
12 V
24 V
100F, 330F
1:2
50H
100 Ah
Table I: system Parameters
Table II. Control System Parameters
Controll
Parameters
Value
PI
FOPI
Kp Ki
2.5
2.5
0.99
0.0
Moreover the discrete Simulink model of the proposed FOPI and integer order PI controllers are programmed using real time workshop and embedded coders and using rapid prototyping the obtained results are also transferred in MATLAB using a high speed serial monitor of the DSP card. A block diagram of rapid prototyping control is shown in figure 5.
Figure 5 Rapid prototyping using DSP control card and MATLAB

Voltage regulation with conventional control
The experimental results collected using high speed serial monitor of the DSP card for the voltage regulation experiment of bidirectional dual active bridge with conventional PI controller and with varying input signal are presented in in Figure 6 and figure 7 respectively. The input command is varied between 24 and 14 volts at t=80 ms and set to 24 V at t =250 ms. During the first transition; the controller tracks it reference very slowly with a measured settling time (Ts) of 115 ms. However, the rising interval (Tr) of the system is 21.5 ms. In addition, the overall tracking response of the controller is very slow due to nonlinear behaviour of DAB. The variations in angle phi with respect to the input command are shown in Fig. 7. The phase shift of PWM register count of the DSP card is in the range selected from 0 and 250 counts which correspond to 0o and 90o respectively. The experimental voltage response is shown in Fig. 8 and it is similar to the voltage response of figure 6 recorded via high speed serial monitor.
Figure 6. Voltage response of PI controller for variable reference command
Figure 7 Phase shift using of PI controller under variable reference command
Figure 8 Experimental voltage responses with PI controller for variable reference command

Voltage regulation with proposed control scheme The results for voltage regulation experiment of bidirectional dual active bridge with proposed controller and with varying input signal are presented in in Fig. 9, 10 and 11. With the proposed control, the steady state error in voltage tracking signal is close to zero while from the previous experimental results, it is concluded that the system shows large steady state error with the conventional PI control. From the presented results, measured settling time Ts is noted as 0.6 ms and rise time is 0.02 ms, which depicts the superior performance of the system under the action of proposed control system. From Fig. 9, at t = 250 i, a steady state error of 2.5 v and 1.5 v are observed for a short time of interval. In addition, with the proposed controller, the corresponding phase shift adjusts itself in finite time while tracking its reference and it is shown in Fig. 10.
The experimental voltage response with FOPI controller is shown in Fig. 11 and it is similar to the voltage response of figure 9 recorded via high speed serial monitor
Figure 9 Voltage response of PI controller for variable reference command
Figure 10 Phase shift using of PI controller under variable reference command
\
Figure 11 Experimental voltage responses with FOPI controller for variable reference command


CONCLUSIONS AND FUTURE RECOMMENDATION
This paper analyzed the stability and robustness of FOPI controller for a microgrid integrated bidirectional DAB utilized for battery storage system. On this basis, the proposed FOPI controller is tested experimentally using a Texas Instrument DSP control card and a laboratory scaled DAB test bench. The collected experimental results for the proposed control is compared to the conventional PI controller and it is concluded that under variable reference command , the proposed controller outperforms the conventional PI controller in terms of rise tme, settling time and steady state error. However the fractional order PI controller introduced high frequency noise in the tracking and control signals. Future recommendations include the tuning
of filter parameter for the implementation of fractional operator for the elimination of noise.
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