Comparison of Soft Computing Techniques applied in High Frequency Aircraft System

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol. 4, No. 2, June 2016, pp. 102~111
ISSN: 2089-3272, DOI: 10.11591/ijeei.v4i2.213  102
Received February 3, 2016; Revised April 20, 2016; Accepted May 5, 2016
Comparison of Soft Computing Techniques applied in
High Frequency Aircraft System
Saifullah Khalid
IET, Lucknow, UP, India
e-mail: saifullahkhalid@outlook.com
Abstract
Sinusoidal Current Control strategy for extracting reference currents for shunt active power filters
have been optimized using Fuzzy Logic control and Adaptive Tabu search Algorithm and their
performances have been compared. The acute analysis of Comparison of the compensation capability
based on THD and speedwell be done, and recommendations will be given for the choice of technique to
be used. The simulated results using MATLAB model are shown, and they will undoubtedly prove the
importance of the proposed control technique of aircraft shunt APF.
Keywords: Aircraft electrical system, Shunt Active Filter (APF), Sinusoidal Current Control strategy, fuzzy
logic, Adaptive Tabu search algorithm
1. Introduction
More advanced aircraft power systems [1]-[3] have been needed due to increased use
of electrical power on behalf of other alternate sources of energy. The subsystems like flight
control, flight surface actuators, passenger entertainment, are driven by electric power, which
flowingly increased the demand for creating aircraft power system more intelligent and
advanced. These subsystems have extensive increased electrical loads i.e. power electronic
devices, increased feeding of electric power, additional demand for power, and above to all of
that great stability problems.
In peculiarity to standard supply system, the source frequency is of 50 Hz, whereas,
aircraft AC power system works on the source frequency of 400 Hz [1]-[3]. Aircraft power utility
works on source voltage of 115/200V. The loads applicable to the plane a system differs from
the loads used in 50 Hz system [1]. When we deliberate the generation portion; aircraft power
utility will remain AC driven from the engine for the plane primary power. Novel fuel cell
technology can be used to produce a DC output for ground power, and its silence process
would match up to suitably with the Auxiliary Power Unit (APU). Though when considering the
dissemination of primary power, whether AC or DC; each approach has its merits. In DC
distribution, HVDC power distribution systems permit the most resourceful employ of generated
power by antithetical loss from skin effect. This allows paralleling and loads sharing amongst the
generators. In AC distribution, AC Flogging is very clear-cut at high levels too. Due to its high
dependence on HVDC system, a wide range of Contactors, Relays can be exploited.
While talking regarding craft Power Systems we tend to conjointly ought to contemplate
increased power electronics application in craft that creates harmonics, massive neutral
currents, wave form distortion of each supply voltage and current, poor power issue, and
excessive current demand. Besides if some non-linear loads is affected upon a supply, their
effects are additive. Due to these troubles, there could also be nuisance tripping of circuit
breakers or inflated loss and thermal heating effects which will provoke early element failure.
This is a prodigious problem to every motor loads on the system. Hence, decent power quality
of the generation system is of scrupulous attention to the Aircraft manufacturer. We discern that
aircraft systems work on high frequency so even on the higher frequencies in the range of 360
to 900Hz; these components would remain very significant.
Today, advanced soft computing techniques are used widely in the involuntary control
system, and optimization of the system applied. Several of them are such as fuzzy logic [4]-[8],
optimization of active power filter using GA [9]-[12], power loss reduction using particle swarm
optimization [13], Artificial neural network control [14]-[18] applied in together machinery and
filter devices.

 ISSN: 2089-3272
IJEEI Vol. 4, No. 2, June 2016 : 102 – 111
103
In this paper, Fuzzy logic controller and Adaptive Tabu search Algorithm (ATS) have
been used to mend the complete performance of active filter for the lessening of harmonics and
other delinquents created into the aircraft electrical system because of the non-linear loads [1].
The simulation results clearly show their effectiveness. The simulation results acquired with the
new model are much improved than those of traditional method.
The paper has been modified in a sequential manner. The APF outline and the load
under contemplation are discussed in Section II. The control algorithm for APF converses in
Section III. MATLAB/ Simulink based simulation results are presented in Section IV, and finally
Section V concludes the paper.
2. System Depiction
The craft power grid may be a three-phase power grid with the frequency of four
hundred cycles per second. As exposed in Figure 1, Shunt Active Power Filter improves the
power quality and compensates the harmonic currents within the system [22], [24]-[25], [27]-
[28]. The shunt APF is understood by using one voltage supply inverters (VSIs) connected at
the PCC to a typical DC link voltage [20]-23].
The set of loads for aircraft system consist of three loads. The first load is a three-phase
rectifier in parallel with an inductive load and an unbalanced load connected in a phase with the
midpoint (Load 1). The second one is a three phase rectifier connects a pure resistance directly
(Load 2). The third one is a three-phase inductive load linked with the ground point (Load 3).
Finally, a combination of all three loads connected with system together at a different time
interval to study the effectiveness of the control schemes has been used to verify the
functionality of the active filter in its ability to compensate for current harmonics. For the case of
all three load connected, Load 1 is always connected, Load 2 is initially connected and is
disconnected after every 2.5 cycles, Load 3 is connected and disconnected after every half
cycle. All the simulations have been done for 15 cycles. The circuit parameters are given in
Appendix.
Figure 1. Aircraft system using Shunt Active Power Filter
3. Control Theory
The projected control of APF depends on Sinusoidal Current Control strategy, and it
has been optimized for artificial intelligent techniques fuzzy logic control and Adaptive Tabu
search Algorithm. Sinusoidal Current Control strategy has been mentioned in short during this
section. The following section also deals with the basic application of fuzzy logic and ATS
Algorithm in the control schemes [19], [20], [29].
3.1. Sinusoidal Current Control Strategy (S.C.C.)
The sinusoidal current control strategy could be a changed version of constant
instantaneous power control strategy, which might compensate load currents underneath
unbalanced states too. The modification includes a positive sequence detector that replaces the
6.4 KHz cutoff frequency low-pass filters. It specifically matches the frequency and phase angle
of the fundamental component. Thus, APF compensates the load reactive power. The extreme
concern should be taken, while designing this detector, so that shunt active filter produces ac
currents orthogonal to the voltage component. Otherwise, it will provide active power. i,i , p’
and q’ are attained after the calculation from --0 transformation block and send to the -

IJEEI ISSN: 2089-3272 
Comparison of Soft Computing Techniques applied in High Frequency … (Saifullah Khalid)
104
reference voltage block, which calculates v’ and v’. Lastly, --0 inverse transformation block
calculates the V’sa, V’sb, and V’sc. Instead of the filtered voltages used previously, V’sa, V’sb, and
V’sc are reflected as input to the basic control circuit of figure 2. Now fundamental negative
sequence power, harmonic power, and the fundamental reactive power, are also incorporated
with the compensating powers.
Figure 2. Block diagram of the fundamental positive-sequence voltage detector for sinusoidal
current control strategy
3.2. Fuzzy Logic Control
In this paper, fuzzy logic control, using centrifugal defuzzification technique, is applied
to the voltage control loop of the Shunt power filter. There are two inputs; error and its derivative
that are used along with one command signal output, Gaussian membership functions and
Triangle membership function are used as inputs and output respectively. The rules which have
been used in fuzzy control are presented in Table 1. Membership functions are also shown in
Figure 3.
Figure 3. Membership functions
Table 1. Fuzzy Control Rule
Error
de/dt
Negative Zero Positive
Negative Big Positive Big
Negative Positive
Zero Big Zero Big
Negative Positive
Positive Big Negative Big
Negative Positive

 ISSN: 2089-3272
IJEEI Vol. 4, No. 2, June 2016 : 102 – 111
105
3.3. Adaptive Tabu Search
Glover suggested Tabu search formula for combinational optimization problem. Lateran,
it has been modified and renamed as Adaptive Tabu Search (ATS). This algorithm is very
efficient for solving nonlinear continuous optimization problems. The modification has been
added to the new version. After modification, the novel Tabu search algorithm has discretized
continuous search space, back-tracking and adaptive radius.
The novel ATS method searches the optimum value of the parameters of the
proportional integral controller i.e. Kpand Ki. The objective function gives the optimum values
with the conditions of rise time, settling time and minimum overshoot. The boundary of Kp and
Ki, their upper limits and lower limits, then radius value, conditions for ATS backtracking,
objective function and stop criteria has been defined. Maximum Searching iteration (500rounds)
for ATS has been set as stop criterion. Figure 4 shows the flow chart for the search of
parameters using adaptiveTabu search method.
The whole system based on three control strategies [24], [29] [31] have been simulated
using MATLAB/Simulink to give the filter currents that will compensate the harmonics and make
the system clean and well within standard limit [26].
4. Simulation Results & Discussions
The proposed scheme of APF is simulated in MATLAB environment to estimate its
performance. Three loads have been applied together at a different time interval to check the
affectivity of the control schemes for the reduction of harmonics. A small quantity of inductance
is additionally connected to the terminals of the load to urge the foremost effective
compensation. The simulation results clearly reveal that the scheme will with success cut back
the numerous quantity of THD in supply current and voltage among limits.
4.1. Uncompensated System
Figure 5 shows the waveforms obtained after the simulation of an uncompensated
system. It has been observed that the THD of source current calculated when loads connected
with the system is 9.5% and THD of source Voltage were 1.55%. By observing these data, we
can easily recognize supply has been polluted when loads have been connected and is
obviously not within the limit of the international standard.
4.2. Compensated System
The performance of APF under different loads connected, when utilizing fuzzy Logic &
ATS Algorithm, have been discussed below for the control strategy given below.
4.2.1. For Sinusoidal Current Control Strategy Using Fuzzy Logic Controller
From Figure 6 it has been empiric that that the THDs of source current and source
voltage were 2.22% and 1.01% respectively. The compensation time was 0.0066 sec. At
t=0.0066 sec, it is apparent that the waveforms for source voltage and source current have
become sinusoidal. Figure 6 shows the waveforms of compensation current, DC capacitor
voltage, and load current.
The aberration in dc voltage can be acutely apparent in the waveforms. As per claim for
accretion the compensation current for accomplishing the load current demand, it releases the
energy, and after that it accuses and tries to achieve its set value. If we carefully observe, we
can acquisition out that the compensation current is, in fact, accomplishing the appeal of load
current, and afterward the active filtering the source current and voltage is affected to be
sinusoidal.
4.2.2. For Sinusoidal Current Control strategy using ATS Algorithm
THDs of source current & source voltage have been found 2.42% and 1.06%
respectively after making observations from the simulation results shown in figure 7. The
waveforms for source voltage and source current have become sinusoidal at t=0.0065sec.
Compensation time is 0.0065 sec. The waveforms of compensation current, dc capacitor
Voltage, and load current have been shown in figure 7. The aberration in dc voltage can be
acutely apparent in the waveforms. As per claim for accretion the compensation current for
accomplishing the load current demand, it releases the energy, and after that it accuses and

IJEEI ISSN: 2089-3272 
106
tries to achieve its set value. If we carefully observe, we can acquisition out that the
compensation current is, in fact, accomplishing the appeal of load current, and afterward the
active filtering the source current and voltage is affected to be sinusoidal.
Figure 4. Flow chart for search of parameters using ATS

 ISSN: 2089-3272
IJEEI Vol. 4, No. 2, June 2016 : 102 – 111
107
Figure 5. Source Voltage and source current waveforms of uncompensated system
4.3. Comparative Analysis of the Simulation Results
From the Table 2, we can easily say that Sinusoidal Current Control (SCC-Fuzzy) has
been found best for current and voltage harmonic reduction. When these results have been
compared based on compensation time, it has been also found that SCC-Fuzzy strategy is
fastest too among all strategy. Table 3 presents a summary of the best strategy in an easy
manner.
Table 2. Summary of Simulation Results Using APF for Control Strategies Using Fuzzy
Logiccontroller & ATS Algorithm
Strategy THD-I
(%)
THD-V
(%)
Compensation
Time (sec)
SCC-FUZZY 2.22 1.01 0.0066
SCC-ATS 2.42 1.06 0.0065
Table 3. Comparison of Strategies Used For Aircraft Power Utility
Compensation Units Best Strategy
THD-I(%) SCC-Fuzzy
THD-V (%) SCC-Fuzzy
Compensation Time (Sec) SCC-ATS

IJEEI ISSN: 2089-3272 
108
Figure 6. Source Voltage, source current, compensation current (phase b), DC link Voltage and
load current waveforms of Active power filter using Sinusoidal Current Control strategy using
fuzzy logic controller

 ISSN: 2089-3272
IJEEI Vol. 4, No. 2, June 2016 : 102 – 111
109
Figure 7. Source Voltage, source current, compensation current (phase b), DC link Voltage and
load currentwaveforms of Active power filter using Sinusoidal Current Control strategy using
ATS Algorithm
5. Conclusion
This paper has done an acute analysis of some traditional and soft computing control
strategies for shunt APF inaircraft power utility of 400 HZ. Optimum selection of control strategy
based on compensation time and THD hasbeen suggested. Overall Sinusoidal Current Control
strategy (SCC-Fuzzy) has been observed as anoptimum choice. Sinusoidal Current Control
Strategy’s performance has been improved, which itselfan achievement for the case of
optimization in traditional strategies.
Appendix
The aircraft system parameters are [1]:
Three-phase source voltage: 115V/400 Hz

IJEEI ISSN: 2089-3272 
110
Filter capacitor: 5 µF,
Filter inductor=0.25m H
Dc capacitor: 4700µF
Dc voltage reference: 400 V
References
[1] Chen Donghua, Tao Guo, Shaojun Xie, Bo Zhou. “Shunt Active Power Filters Applied in the Aircraft
Power Utility,” 36th Power Electronics Specialists Conference, PESC '05, IEEE. 2005, pp. 59-63.
[2] Khalid Saifullah, Dwivedi Bharti. Comparative Evaluation of Various Control Strategies forShunt
Active Power Filters in Aircraft Power Utility of 400 Hz. Majlesi Journal of Mechatronic Systems.
2014; 3(2): 1-5.
[3] Khalid Saifullah, Dwivedi Bharti. Application of AI techniques in implementing Shunt APF in Aircraft
Supply System. Proceeding of SPRINGER- SOCROPROS Conference, IIT-Roorkee. 2013; 1: 333-
341.
[4] Guillermin P. Fuzzy logic Applied to Motor Control. IEEE Transactions on Industrial Application. 1996;
32(1): 51-56.
[5] Abdul Hasib A, Hew Wooi P, Hamzah A and Mowed HAF. Fuzzy Logic Control of a three phase
Induction Motor using Field Oriented Control Method. Society of Instrument and Control Engineers,
SICE GAual Conference. 2002: 264-267.
[6] S Jain, P Agrawal and H Gupta. “Fuzzy logic controlled shunt active power filter for power quality
improvement”. in IEE Proceedings of the Electric Power Applications. 2002; 149: 317-28.
[7] Mariun Norman, Bahari Samsul, Noor Mohd, Jasni Jasronita, Omar SB. A Fuzzy logic Controller for
an Indirect vector Controlled Three Phase Induction Motor. Proceedings Analog and Digital
Techniques in Electrical Engineering, TENCON 2004, Chiang Mai, Thailand. 2004; 4: 1-4.
[8] Afonso JL, Fonseca J, Martins JS and Couto CA. Fuzzy Logic Techniques Applied to the Control of a
Three-Phase Induction Motor. Proceedings of the UK Mechatronics Forum International Conference,
Portugal. 142-146.
[9] Chiewchitboon P, Tipsuwanpom P, Soonthomphisaj N and Piyarat W. Speed Control of Three-phase
Induction Motor Online Tuning by Genetic Algorithm. Fifth International Conference on Power
Electronics and Drive Systems, PEDS. 2003; 1: 184-188.
[10] Parmod Kumar and Alka Mahajan. “Soft Computing Techniques for the Control of an Active Power
Filter”. IEEE Transactions on Power Delivery. 2009; 24(1): 452-461.
[11] Bouserhane Ismail K, Hazzab Abdeldjebar, Boucheta Abdelkrim, Benyounes Mazari and Mostefa
Rahli. Optimal Fuzzy Self-Tuning of PI Controller Using Genetic Algorithm for Induction Motor Speed
Control. Int. J. of Automation Technology. 2008; 2(2): 85-95.
[12] Wang Guicheng, Zhang Min, Xinhe Xu and Jiang Changhong. Optimization of Controller Parameters
based on the Improved Genetic Algorithms. IEEE Proceedings of the 6th World Congress on
Intelligent Control and Automation, Dalian, China. 2006: 3695-3698.
[13] Thangaraj Radha, Thanga Raj Chelliah, Millie Pant, Abraham Ajit and CrinaGrosan.Optimal gain
tuning of PI speed controller in induction motor drives using particle swarm optimization. Logic
Journal of IGPL Advance Access. 2010: 1-14.
[14] Pinto Joao OP, Bose Bimal K and Borges da Silva Luiz Eduardo. A Stator-Flux-Oriented Vector-
Controlled Induction Motor Drive with Space-Vector PWM and Flux-Vector Synthesis by Neural
Networks. IEEE Transaction on Industry Applications. 2001; 37(5): 1308-1318.
[15] Rajasekaran S and Pai GA Vijayalakshmi. Neural Networks, Fuzzy Logic and Genetic Algorithm:
Synthesis and Applications. Prentice Hall of India, New Delhi, fifth printing. 2005.
[16] Raul Rojas. Neural Network- A Systematic Introduction. Spriger-Verlag, Berlin. 1996.
[17] Zerikat M and Chekroun S. Adaptation Learning Speed Control for a High-Performance Induction
Motor using Neural Networks. Proceedings of World Academy of Science, Engineering and
Technology. 2008; 35: 294-299.
[18] Kim Seong-Hwan, Park Tae-Sik, Yoo Ji-Yoon and Park Gwi-Tae.Speed-Sensorless Vector Control of
an Induction Motor Using Neural Network Speed Estimation. IEEE Transaction on Industrial
Electronics. 2001; 48(3): 609-614.
[19] Khalid Saifullah, Dwivedi Bharti. Comparison of Control Strategies for Shunt Active Power Filter
under balanced, unbalanced and distorted supply conditions. Proceedings of IEEE Sponsored
National Conference on Advances in Electrical Power and Energy Systems (AEPES-2013). 2013: 37-
41.
[20] Mauricio Aredes, Jurgen Hafner, Klemens Heum GA. “Three-Phase Four-Wire Shunt Active Filter
Control Strategies”. IEEE Transactions on Power Electronics. 1997; 12(2): 311-318.
[21] Khalid Saifullah, Dwivedi Bharti. Power quality improvement of constant frequency aircraft electric
power system using Fuzzy Logic, Genetic Algorithm and Neural network control based control
scheme. International Electrical Engineering Journal (IEEJ). 2013; 4(3): 1098-1104.

 ISSN: 2089-3272
IJEEI Vol. 4, No. 2, June 2016 : 102 – 111
111
[22] Khalid Saifullah, Dwivedi Bharti. Power Quality Issues, Problems, Standards & their Effects in
Industry with Corrective Means. International Journal of Advances in Engineering & Technology
(IJAET). 2011; 1(2): 1-11.
[23] Khalid Saifullah, Dwivedi Bharti. A Review of State of Art Techniques in Active Power Filters and
Reactive Power Compensation. National Journal of Technology. 2007; 1(3): 10-18.
[24] RC Dugan, MF McGranaghan and HW Beaty. Electrical Power Systems Quality. New York: McGraw-
Hill. 1996.
[25] Khalid Saifullah, Dwivedi Bharti. Power Quality: An Important Aspect. International Journal of
Engineering, Science and Technology. 2010; 2(11): 6485-6490.
[26] IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems,
IEEE Standard. 1992; 519-1992.
[27] A Ghosh and G Ledwich. Power Quality Enhancement Using Custom Power Devices. Boston, MA:
Kluwer. 2002.
[28] S Khalid, N Vyas. Application of Power Electronics to Power System. University Science Press,
INDIA. 2009.
[29] Khalid Saifullah, Dwivedi Bharti. Comparative Critical Analysis of SAF using Soft Computing and
Conventional Control Techniques for High Frequency (400 Hz) Aircraft System. Proceeding ofIEEE-
CATCON Conference. 2013: 100-110.

Comparison of Soft Computing Techniques applied in High Frequency Aircraft System

More Related Content

What's hot (20)

Similar to Comparison of Soft Computing Techniques applied in High Frequency Aircraft System (20)

More from ijeei-iaes (20)

Recently uploaded (20)

Comparison of Soft Computing Techniques applied in High Frequency Aircraft System