Open Access Open Access  Restricted Access Subscription or Fee Access

Vehicle Speed Fuzzy Logic Controller System Using Surface EMG Signal


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/ireme.v14i1.18086

Abstract


The interaction between the human body motion and the robotic motion has gained much interest nowadays. Enhancing the accuracy of such a system requires the use of more complex systems in order to maintain the safety of the user, especially in critical systems such as disabled assistant systems. In this work, an investigation of motion control using Surface electromyography (sEMG) signals, which are obtained from the user’s arm, is studied. This system can help disabled drivers who can use their arms and cannot use their feet for speed or braking pedals. The sEMG signal can be obtained by fixing a gesture with multi sEMG sensors on the user’s arm between the elbow and the wrist. The controller receives the sEMG signal and the proper signal is sent to the motors responsible for accelerating or decelerating the vehicle through speed or braking pedal, respectively. The sEMG signal is usually time-varying noisy signal; hence, a proper filter is needed to attenuate the unwanted noisy signal. In addition, an intelligent controller is developed to control vehicles speeding and braking safely. In this paper a Fuzzy logic controller is chosen due to the high nonlinearity of such a system. The system can be improved to cover different activities and actions based on the user’s needs.
Copyright © 2020 Praise Worthy Prize - All rights reserved.

Keywords


Fuzzy Logic Controller; Surface Electromyography; Vehicle Speeding; Vehicle Braking

Full Text:

PDF


References


Merletti R., Farina D., Gazzoni M.,2003, The linear electrode array: a useful tool with many applications. Journal of Electromyography and Kinesiology, Vol. 13, Issue 1, Pp. 37–47.
https://doi.org/10.1016/s1050-6411(02)00082-2

Blok J. H., van Dijk J. P., Drost G., Zwarts M. J., Stegeman D. F., 2002, A high-density multichannel surface electromyography system for the characterization of single motor units. Review of Scientific Instruments 73, 1887 (2002).
https://doi.org/10.1063/1.1455134

Gupta, V., Reddy, N.P. & Canilang, E.P., 1996, Surface EMG Measurements at the Throat during Dry and Wet Swallowing, Dysphagia, Vol. 11, pp. 173-17911: 173.
https://doi.org/10.1007/bf00366380

Potvin J. R., Brown S. H. M., 2004, Less is more: high pass filtering, to remove up to 99% of the surface EMG signal power, improves EMG-based biceps brachii muscle force estimates, Journal of Electromyography and Kinesiology, Vol. 14, Issue 3, pp. 389–399.
https://doi.org/10.1016/j.jelekin.2003.10.005

Wang J., Tang L., Bronlund J.E., 2013, Surface EMG Signal Amplification and Filtering International Journal of Computer Applications, Vol. 82, No.1, Pp. 15-22.
https://doi.org/10.5120/14079-2073

Carlo J. De Luca, Surface Electromyography: Detection and Recording, 2002 by DelSys Incorporated.

Natalia M. López Celani, Carlos M. Soria, Eugenio C. Orosco, Fernando A. di Sciascio, Max E. Valentinuzzi, 2007, Two-Dimensional Myoelectric Control of a Robotic Arm for Upper Limb Amputees, Journal of Physics: Conference Series, Vol. 90.
https://doi.org/10.1088/1742-6596/90/1/012086

Karlsson S., Jun Yu, Akay M., 1999, Enhancement of Spectral Analysis of Myoelectric Signals during Static Contractions Using Wavelet Methods, IEEE Transactions on Biomedical Engineering, Vol. 46, No. 6, pp. 670-684.
https://doi.org/10.1109/10.764944

Zadeh L., 1965, Fuzzy sets, Information and Control, Vol. 8, Issue 3, Pp. 338-353.
https://doi.org/10.1016/S0019-9958(65)90241-X

Hussein S., Granat M., 2002, Intention Detection Using a Neuro-Fuzzy EMG Classifier. IEEE Engineering in Medicine and Biology Magazine, Vol. 21, issue 6, Pp. 123-129.
https://doi.org/10.1109/memb.2002.1175148

Goswami R., Joshi D., 2018, Performance Review of Fuzzy Logic Based Controllers Employed in Brushless DC Motor, Procedia Computer Science, Vol. 132, pp. 623-631
https://doi.org/10.1016/j.procs.2018.05.061

Deying G., Jinquan Z., 2014, Speed control of BLDCM Based on Compensated Fuzzy Neural Network, The 26th Chinese Control and Decision Conference, Pp. 4541-4544.
https://doi.org/10.1109/ccdc.2014.6852982

Du L., Lu X., Yu M., Dong B., Li Y., 2018, Experimental Investigation on Fuzzy PID Control of Dual Axis Turntable Servo System, Procedia Computer Science, Vol. 131, Pp. 531-540.
https://doi.org/10.1016/j.procs.2018.04.258

Amine, S., Mokhiamar, O., Hammoud, M., Fuzzy Logic Position Control of Pneumatic Actuators, (2018) International Review of Mechanical Engineering (IREME), 12 (3), pp. 213-222.
https://doi.org/10.15866/ireme.v12i3.12955

Ülkir O., Gökmen G., Kaplanoğlu E., 2017, EMG Signal Classification Using Fuzzy Logic, Balkan Journal of Electrical & Computer Engineering, Vol. 5, No. 2, Pp. 97-101.
https://doi.org/10.17694/bajece.337941

Peasgood W., Whitlock T., Bateman A., Fry M. E., Jones R. S., Davis-Smith A., 2000, EMG-controlled closed loop electrical stimulation using a digital signal processor, Electronics Letters, vol. 36, No. 22, Pp. 1832-1833.
https://doi.org/10.1049/el:20001319

Tanaka H., 1987, Fuzzy data analysis by possibilistic linear models, Fuzzy Sets and Systems, Vol. 24, No. 3, Pp. 363-375.
https://doi.org/10.1016/0165-0114(87)90033-9

Jebelli, A., Yagoub, M., Lotfi, N., Kazemi Riabi, S., Fuzzy-Based Controller Design for Intelligent Robot Arm, (2014) International Review of Mechanical Engineering (IREME), 8 (1), pp. 214-222.

Jebelli, A., Yagoub, M., Rahim, R., Kazemi, H., Design and Construction of an Underwater Robot Based Fuzzy Logic Controller, (2013) International Review of Mechanical Engineering (IREME), 7 (1), pp. 147-153.

Robert L. Norton, Design of Machinery: An Introduction to the Synthesis and Analysis of Mechanisms and Machines - fourth Edition. McGraw-Hill Higher Education.

Pinzon Arenas, J., Jimenez Moreno, R., Hernandez Beleño, R., EMG Signal Acquisition and Processing Application with CNN Testing for MATLAB, (2018) International Review of Automatic Control (IREACO), 11 (1), pp. 44-51.
https://doi.org/10.15866/ireaco.v11i1.13379

Human Performance Capabilities-NASA-STD-3000.
https://msis.jsc.nasa.gov/sections/section04.htm

Thalmic Labs, 2019. https://support.getmyo.com/hc/en-us

Magaswaran, K., Kit, L., Kamarulazizi, K., Development of Dual Steering System Using Fuzzy Logic Control for Application in Driving School Vehicle, (2016) International Review of Mechanical Engineering (IREME), 10 (4), pp. 289-293.
https://doi.org/10.15866/ireme.v10i4.8625

Benyachou, B., Bahrar, B., Gueraoui, K., Modeling & Control of a Variable Velocity Wind Turbine Connected to a Doubly Fed Induction Generator (DFIG), (2018) International Review of Mechanical Engineering (IREME), 12 (6), pp. 563-569. doi: https://doi.org/10.15866/ireme.v12i6.15410
https://doi.org/10.15866/ireme.v12i6.15410

Iswanto, I., Mujaahid, F., Rohmansyah, R., Ardi Nugraha, T., Shekher, V., Quadrotor Tracking Control Based on Optimized Fuzzy Logic Controller, (2019) International Review of Aerospace Engineering (IREASE), 12 (6), pp. 261-270.
https://doi.org/10.15866/irease.v12i6.16666

Sudheer, H., Kodad, S., Sarvesh, B., Improvements in SVM-DTC of Induction Motor with Fuzzy Logic Controllers Using FPGA, (2017) International Review of Electrical Engineering (IREE), 12 (5), pp. 440-449.
https://doi.org/10.15866/iree.v12i5.12857

Omar, H., A Geno-Fuzzy Fast Attitude Controller for Satellites Stabilized by Reaction WheelsA Geno-Fuzzy Fast Attitude Controller for Satellites Stabilized by Reaction Wheels, (2018) International Journal on Engineering Applications (IREA), 6 (5), pp. 150-155.
https://doi.org/10.15866/irea.v6i5.16628

Basjaruddin, N., Margana, D., Kuspriyanto, K., Rinaldi, R., Suhendar, S., Hardware Simulation of Advanced Driver Assistance Systems Based on Fuzzy Logic, (2018) International Review on Modelling and Simulations (IREMOS), 11 (1), pp. 24-31.
https://doi.org/10.15866/iremos.v11i1.12691


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize