Create New Account
Login
Search or Buy Articles
Browse Journals
Browse Proceedings
Submit your Paper
Submission Information
Journal Review
Recommend to Your Library
Call for Papers
A HARDWARE-BASED IMPLEMENTATION OF A TSK FUZZY CONTROLLER FOR A WHEELCHAIR SYSTEM
Mohamed Slim Masmoudi, Najla Krichen, and Mohamed Masmoudi
References
[1] J. Wu, J. Wang, L. Wang, and T. Li, Dynamics and control of aplanar 3-DOF parallel manipulator with actuation redundancy,Science Direct Elsevier Journal of Mechanism and MachineTheory, 44(4), 2009, 835–849.
[2] J. Wu, J. Wang, and Z. You, An overview of dynamic parameteridentification of robots, Science Direct Elsevier Journal ofMechanism Robotics and Computer-Integrated Manufacturing,26(5), 2010, 414–419.
[3] J. Wu, D. Wang, and L. Wang, A control strategy of a twodegrees-of-freedom heavy duty parallel manipulator, Journalof Dynamic Systems, Measurement, and Control, 137(6), 2015,061007-1-061007-10.
[4] M. Sadeghzadeh, D. Calvert, and H.A. Abdullah, Autonomousvisual servoing of a robot manipulator using reinforcementlearning, International Journal of Robotics and Automation,31(1), 2016, 206–4235.
[5] R.-A. Juan-Manuel, T.-A. Saul, V.-S. Jose-Emilio, and A.-F.Marco-Antonio, Fpga embedded PD control of a 1 dof manipulator with a pneumatic actuator, International Journal ofRobotics and Automation, 31(3), 2016, 206–4362.
[6] N.M.A. Ghani and M.O. Tokhi, A Dwi-phase fuzzy controlstructure for an auto-mode stair climbing wheelchair, IEEEInternational Conference on Systems, Man, and Cybernetics(SMC), Manchester, UK, 2013, 4694–4699.
[7] S. Islam, M.R. Sarker, M. Ali, S.H.M. Othman, and B.Y.Majlis, Design, simulation and synthesis of wheelchair controller using Fuzzy logic, IEEE Regional Symposium on Microand Nanoelectronics (RSM), Kota Kinabalu, Malaysia, 2011,117–122.
[8] V. Tyagi, N.K. Gupta, and P.K. Tyagi, Smart wheelchairusing fuzzy inference system, Proc. IEEE Global HumanitarianTechnology Conference: South Asia Satellite (GHTC-SAS),India, 2013, 175–180.
[9] N. Baklouti, H.A. Lamti, K. Salhi, and A.M. Alimi, PSObased adaptive learning fuzzy logic controller for the irobotcreate robot, IEEE 13th International Conference on HybridIntelligent Systems (HIS), Tunisia, 2013, 99–104.
[10] T.N. Nguyen, S. Su, and H.T. Nguyen, Neural network baseddiagonal decoupling control of powered wheelchair systems,IEEE Transactions on Neural systems and Rehabilitation Engineering, 22(2), 2014, 371–378.
[11] H. Seki and N. Tanohato, Fuzzy control for electric power-assisted wheelchair driving on disturbance roads, IEEETransactions on Systems, Man, and Cybernetics, Part C:Applications and Reviews, 42(6), 2012, 1624–1632.
[12] V. Bayar, B. Akar, U. Yayan, and H.S. Yavuz, Fuzzy logicbased design of classical behaviors for mobile robots in ROSmiddleware, IEEE International Symposium on Innovationsin Intelligent Systems and Applications (INISTA) Proceedings,Italy, 2014, 162–169.
[13] R. Chai, S.H. Ling, G.P. Hunter, Y. Tran, and H.T. Nguyen,Classification of wheelchair commands using brain computerinterface: Comparison between Able-bodied persons and patients with Tetraplegia, IEEE 35th Annual International Conference of the Engineering in Medicine and Biology Society(EMBC), Osaka, Japan, 2013, 989–992.
[14] J. Songmi, Y. Jun, F. Jinhui, G. Liwen, and L. Xiuzhi,Multimodal intelligent wheelchair control based on fuzzy algorithm, IEEE International Conference on Information andAutomation (ICIA), Shenyang, China, 2012, 582–587.
[15] M. Njah and M. Jallouli, Wheelchair obstacle avoidance basedon fuzzy controller and ultrasonic sensors, IEEE InternationalConference on Computer Applications Technology (ICCAT),Tunisia, 2013, 1–5.
[16] A. Rini, S. Ba Tis Faez, and J. Wani Umar, Design and development of a hand-glove controlled wheel chair, 4th International Conference on Mechatronics (ICOM), Kuala Lumpur,Malaysia, 2011, 17–19
[17] P. Rusu, E.M. Petriu, T.E. Whalen, A. Cornell, and H.J.W.Spoelder, Behavior-based neuro-fuzzy controller for mobilerobot navigation, IEEE Transactions on Instrumentation andMeasurement, 54(3), 2003, 1335–1340.
[18] K. Mohanty Prases and R. Parhi Dayal, A new intelligentmotion planning for mobile robot navigation using multipleadaptive neuro-fuzzy inference system, International Journalof Applied Mathematics & Information Sciences, 8(5), 2014,2527–2535.
[19] I. Masoud, M. Mansouri, and M. Aliyari Shoorehdeli, Trackingcontrol of mobile robot using ANFIS, IEEE InternationalConference on Mechatronics and Automation, Beijing, China,2011, 422–427.
[20] A. Gallardo, J. Taylor, C. Paolini, H. Lee, & G.K. Lee,An ANFIS-based multi-sensor structure for a mobile roboticsystem, IEEE International on Computational Intelligence inControl and Automation (CICA), Paris, France, 2011, 143–148.
[21] M.K. Singh, D.R. Parhi, and J.K. Pothal, ANFIS approach fornavigation of mobile robots, IEEE International Conferenceon Advances in Recent Technologies in Communication andComputing, Kerala, India, 2009, 727–731.
[22] S. S´anchez-Solano, A.J. Cabrera, I. Baturone, F.J. Moreno-Velo, and M. Brox, FPGA implementation of embedded fuzzycontrollers for robotic applications, IEEE Transactions onIndustrial Electronics, 54(4), 2007, 1935–1945.
[23] Y. Meng, A dynamic self-reconfigurable mobil robot navigation system, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, California, USA, 2005,1541–1546.
[24] Z. Wen-Hong, T. Lamarche, E. Dupuis, D. Jameux, P. Barnard,and L. Guangjun, Precision control of modular robot manipulators: The VDC approach with embedded FPGA, IEEETransactions on Robotics, 29(5), 2013, 1162–1179.
[25] H.-C. Huang, A Taguchi-based heterogeneous parallel meta-heuristic ACO-PSO and its FPGA realization to optimal polar-space locomotion control of four-wheeled redundant mobilerobots, IEEE Transactions on Industrial Informatics, 11(4),2015, 915–922.
[26] M. Boujelben, C. Rekik, and N. Derbel, A multi-agent architecture with hierarchical fuzzy controller for a mobile robot,International Journal of Robotics and Automation, 30(3), 2015,289–298.
[27] I. Song, F. Karray, M.S. Masmoudi, H. Li, and F. Guedea,A real-time fuzzy logic controller system design for a car-likerobot parking system, Second Humanoid, Nanotechnology, In-formation Technology, Communication and Control Environment and Management (HNICEM) International Conference,Philippines, 2005, 1–8.
[28] H. Liu, N. Stoll, S. Junginger, and K. Thurow, A new approach to battery power tracking and predicting for mobilerobot transportation using wavelet decomposition and ANFISnetworks, IEEE International Conference on Robotics andBiomimetics, Indonesia, 2014, 253–258.
[29] C. Li, H. Ma, C. Yang, and M. Fu, Teleoperation of a virtualiCub robot under framework of parallel system via hand gesturerecognition, IEEE International Conference on Fuzzy Systems,China, 2014, 1469–1474.
[30] D.M. Russinoff, Computation and formal verification of SRTquotient and square root digit selection tables, IEEE Trans-actions on Computer, 62(5), 2013, 900–913.
[31] S. Khan, VHDL implementation and performance analysis oftwo division algorithms, Master of Applied Science, Universityof Victoria, Canada, 2015.
[32] G. Sutter and J. Deschamps, High speed fixed point dividers forfpgas, IEEE International Conference on Field ProgrammableLogic and Applications, Prague, Czech Republic, 2009, 448–452.
Important Links:
Abstract
DOI:
10.2316/Journal.206.2018.1.206-4740
From Journal
(206) International Journal of Robotics and Automation - 2018
Go Back