MOPSO-based optimal control of shunt active power filter using a variable structure fuzzy logic sliding mode controller for hybrid (FC-PV-Wind-Battery) energy utilisation scheme

This paper presents an effective concept for hybrid fuel cell-photovoltaic-wind-battery active power filter (FC-PV-Wind-Battery) energy scheme based on the variable structure sliding mode fuzzy logic controller (SMFLC) using the multi-objective particle swarm optimisation (MOPSO). The parameters of the fuzzy logic control membership functions and the weighting factors of the SMFLC can be tuned by MOPSO in such an approach to optimise the dynamic performance of the shunt active power filter (SAPF) and minimise the total harmonic distortion (THD) of the source current waveform and voltage waveform of the hybrid (FC-PV-Wind-Battery). A group of objective functions was chosen to validate the dynamic performance of the SAPF and the effectiveness of the MOPSO-SMFLC. These selected fitness functions are: (i) minimising the error of the inverter capacitor DC voltage, (ii) minimising the THD of the output current and voltage of DC and AC sides and (iii) minimising the controller reaching time. A computer simulation study using Simulink/Matlab and experimental laboratory prototype were carried on to asses and compare the dynamic performance of the proposed MOPSO-SMFLC controller with the conventional proportional-integral-derivative, variable structure SMFLC, the feed-forward multilayer neural network controller and the variable structure SMFLC based on the single-objective particle swarm optimisation.

[1]  Cheng-Jian Lin,et al.  A TSK-Type Quantum Neural Fuzzy Network for Temperature Control , 2006 .

[2]  Cihan Karakuzu.  Fuzzy controller training using particle swarm optimization for nonlinear system control. , 2008, ISA transactions.

[3]  C.T. Hsu,et al.  Harmonic Analysis for the Distribution System with Dispersed Generation Systems , 2006, 2006 International Conference on Power System Technology.

[4]  B. Singh,et al.  Improved Control of Three Phase Active Filters Using Genetic Algorithms , 2007, 2007 7th International Conference on Power Electronics and Drive Systems.

[5]  Malabika Basu,et al.  Real-time control of shunt active power filter under distorted grid voltage and unbalanced load condition using self-tuning filter , 2014 .

[6]  Kalyanmoy Deb,et al.  A genetic-fuzzy approach for mobile robot navigation among moving obstacles , 1999, Int. J. Approx. Reason..

[7]  Ju H. Park,et al.  Fuzzy logic systems-based integral sliding mode fault-tolerant control for a class of uncertain non-linear systems , 2016 .

[8]  M. Nasir Uddin,et al.  Fuzzy-Logic-Controller-Based SEPIC Converter for Maximum Power Point Tracking , 2012, IEEE Transactions on Industry Applications.

[9]  Chi-Hsu Wang,et al.  Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN) , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[10]  Gwangmin Choe,et al.  A direct adaptive fuzzy sliding mode controller and its application , 2015, 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

[11]  Nohé R. Cázarez-Castro,et al.  Fuzzy logic control with genetic membership function parameters optimization for the output regulation of a servomechanism with nonlinear backlash , 2010, Expert Syst. Appl..

[12]  Ping Wang,et al.  Discrete-time sliding mode control of nonlinear time-delay systems based on T-S fuzzy model , 2010, 2010 International Conference on Intelligent Control and Information Processing.

[13]  Navid Ghaffarzadeh,et al.  Dual surface sliding mode controller for photovoltaic systems enhanced by a ripple domain search maximum power point tracking algorithm for fast changing environmental conditions , 2016 .

[14]  Nasrudin Abd Rahim,et al.  Fuzzy-Logic-Controller-Based SEPIC Converter for Maximum Power Point Tracking , 2014 .

[15]  Salim Labiod,et al.  Direct adaptive fuzzy sliding mode decoupling control for a class of underactuated mechanical systems , 2013 .

[16]  Sakti Prasad Ghoshal,et al.  INTELLIGENT PARTICLE SWARM OPTIMIZED FUZZY PID CONTROLLER FOR AVR SYSTEM , 2007 .

[17]  Ngai Ming Kwok,et al.  Automatic Fuzzy Membership Function Tuning Using the Particle Swarm Optimization , 2008, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application.

[18]  Lu Zhang,et al.  Deterministic Optimization and Cost Analysis of Hybrid PV/Wind/Battery/Diesel Power System , 2012 .

[19]  Vinod Khadkikar,et al.  Application of Artificial Neural Networks for Shunt Active Power Filter Control , 2014, IEEE Transactions on Industrial Informatics.

[20]  Ricardo Martínez-Soto,et al.  Particle Swarm Optimization Applied to the Design of Type-1 and Type-2 Fuzzy Controllers for an Autonomous Mobile Robot , 2009, Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition.

[21]  Anup Kumar Panda,et al.  Simulation and real-time implementation of shunt active filter i d -i q control strategy for mitigation of harmonics with different fuzzy membership functions , 2012 .

[22]  Cheng-Jian Lin,et al.  The design of neuro-fuzzy networks using particle swarm optimization and recursive singular value decomposition , 2007, Neurocomputing.

[23]  Senén Barro,et al.  Design of a fuzzy controller in mobile robotics using genetic algorithms , 2007, Appl. Soft Comput..

[24]  Germano Lambert-Torres,et al.  Fitting Fuzzy Membership Functions using Hybrid Particle Swarm Optimization , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[25]  Ching-Hung Lee,et al.  TYPE-2 FUZZY NEURAL NETWORK SYSTEMS AND LEARNING , 2002 .

[26]  Ben Niu,et al.  A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing , 2008, Neurocomputing.

[27]  A. R. Aoki,et al.  Particle swarm optimization for fuzzy membership functions optimization , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[28]  Prakash K. Ray,et al.  Robust fuzzy-sliding mode based UPFC controller for transient stability analysis in autonomous wind-diesel-PV hybrid system , 2016 .