Real time control of a direct drive motor by a learning neuro-fuzzy controller

2002 ◽  
Author(s):  
K.K. Kumbla ◽  
M. Jamshidi
Keyword(s):  
Real Time ◽  
Fuzzy Controller ◽  
Direct Drive ◽  
Real Time Control ◽  
Time Control ◽  
Neuro Fuzzy ◽  
Drive Motor

scholarly journals Wheelchair Neuro Fuzzy Control and Tracking System Based on Voice Recognition

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2872 ◽  
Author(s):  
Mokhles M. Abdulghani ◽  
Kasim M. Al-Aubidy ◽  
Mohammed M. Ali ◽  
Qadri J. Hamarsheh
Keyword(s):  
Fuzzy Controller ◽  
Tracking System ◽  
Voice Recognition ◽  
Real Data ◽  
Communication Technologies ◽  
Real Time Control ◽  
Time Control ◽  
Smart Wheelchairs ◽  
Neuro Fuzzy ◽  
The Disabled

Autonomous wheelchairs are important tools to enhance the mobility of people with disabilities. Advances in computer and wireless communication technologies have contributed to the provision of smart wheelchairs to suit the needs of the disabled person. This research paper presents the design and implementation of a voice controlled electric wheelchair. This design is based on voice recognition algorithms to classify the required commands to drive the wheelchair. An adaptive neuro-fuzzy controller has been used to generate the required real-time control signals for actuating motors of the wheelchair. This controller depends on real data received from obstacle avoidance sensors and a voice recognition classifier. The wheelchair is considered as a node in a wireless sensor network in order to track the position of the wheelchair and for supervisory control. The simulated and running experiments demonstrate that, by combining the concepts of soft-computing and mechatronics, the implemented wheelchair has become more sophisticated and gives people more mobility.

Windows-based real-time control of direct-drive mechanisms: platform description and experiments

Mechatronics ◽  
2004 ◽  
Vol 14 (9) ◽  
pp. 1021-1036 ◽  
Author(s):  
Ricardo Campa ◽  
Rafael Kelly ◽  
Victor Santibañez
Keyword(s):  
Real Time ◽  
Direct Drive ◽  
Real Time Control ◽  
Time Control

Study on Two-Wheeled Self-Balancing Electric Vehicle Based on Fuzzy PD Control Algorithm

2014 ◽  
Vol 1056 ◽  
pp. 162-165
Author(s):  
Zheng Cai Yang ◽  
Bao Hua Wang
Keyword(s):  
Control System ◽  
Real Time ◽  
Electric Vehicle ◽  
Fuzzy Controller ◽  
System Structure ◽  
Structure Model ◽  
Pd Controller ◽  
Real Time Control ◽  
Time Control ◽  
Fuzzy Pd

A Two-Wheeled Self-Balancing Electric vehicle control system was developed base on the system design, hardware development and software strategies.The paper designed the posture acquisition module by gyroscopes and accelerometer sensors, and improved the control ccuracy using Calman filtering algorithm. Based on the system structure model, construction of Two-Wheeled Self-Balancing Electric vehicle dynamic equations by using the analysis method of Newtonian echanics was developed.A fuzzy PD controller was designed,the displacement and velocity as the input variable is controlled by fuzzy controller, and the tilt angle and angular velocity is controlled by PD controller. Finally, the platform of real-time control system was established for parameters adjustment and real-time control.Experiments show that the system has good robustness,high real-time response and has a higher market value.

scholarly journals A spintronic memristor crossbar array for fuzzy control with application in the water valves control system

2019 ◽  
Vol 52 (5-6) ◽  
pp. 418-431 ◽  
Author(s):  
Liu Jun ◽  
Xie Shouyong ◽  
Chen Chong ◽  
Xie Dan ◽  
Yang Mingjin
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Real Time ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Real Time Control ◽  
The Real ◽  
Crossbar Array ◽  
Time Control ◽  
Memristor Crossbar

Fuzzy control, an intelligent control method, is generally employed to deal with complex nonlinear controlled objects that cannot be expressed by accurate mathematical model. Memristor, whose unique advantages are automatic successive memory and nonvolatility, brought new opportunity for solving the key question of fuzzy control. With the design idea of software harden, this paper first constructed membership function in the fuzzy controller based on the unique feature of crossbar array of the spintronic memristor and elaborated the whole construction process. After that, this paper simulated the construction process with MATLAB simulation software, verifying its reasonability and feasibility. Furthermore, a typical fuzzy control water tank system was chosen to explore and discuss the flexibility of spintronic memristor crossbar array in the real-time control system, and the proposed control strategy and the typical fuzzy control strategy were compared. The results revealed that the proposed control strategy was able to attain the effectiveness of the typical fuzzy control system in the real-time control system. This sets light to future research on the implementation of memristor crossbar array in the real-time control system and also promotes the application of fuzzy controller design idea. The problems needed to be solved when implementing memristor crossbar array in the real-time control system were discussed in the final section.

scholarly journals An Optimized Multi-Output Fuzzy Logic Controller for Real-Time Control

2008 ◽  
Vol 12 (4) ◽  
pp. 370-376
Author(s):  
Noel S. Gunay ◽  
◽  
Elmer P. Dadios
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Time Lag ◽  
Real Time Control ◽  
Single Output ◽  
Time Control ◽  
Object Oriented Approach ◽  
Control Application

Any real-time control application run by a digital computer (or any sequential machine) demands a very fast processor in order to make the time-lag from data sensing to issuance of a control action closest to zero. In some instances, the algorithm used requires a relatively large primary memory which is crucial especially when implemented in a microcontroller. This paper presents a novel implementation of a multi-output fuzzy controller (which is known in this paper as MultiOFuz), which utilizes lesser memory and executes faster than a type of an existing multiple single-output fuzzy logic controllers. The design and implementation of the developed controller employed the object-oriented approach with program level code optimizations. MultiOFuz is a reusable software component and the simplicity of how to interface this to control applications is presented. Comparative analyses of algorithms, memory usage and simulations are presented to support our claim of increased efficiency in both execution time and storage use. Future directions of MultiOFuz are also discussed.

scholarly journals FPGA-Based Mechatronic Design and Real-Time Fuzzy Control with Computational Intelligence Optimization for Omni-Mecanum-Wheeled Autonomous Vehicles

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1328 ◽  
Author(s):  
Hsu-Chih Huang ◽  
Chin-Wang Tao ◽  
Chen-Chia Chuang ◽  
Jing-Jun Xu
Keyword(s):  
Fuzzy Control ◽  
Real Time ◽  
Computational Intelligence ◽  
Autonomous Vehicles ◽  
Control Method ◽  
Fuzzy Controller ◽  
Real Time Control ◽  
Mechatronic Design ◽  
Time Control ◽  
Mobile Vehicle

This study presents a field-programmable gate array (FPGA)-based mechatronic design and real-time fuzzy control method with computational intelligence optimization for omni-Mecanum-wheeled autonomous vehicles. With the advantages of cuckoo search (CS), an evolutionary CS-based fuzzy system is proposed, called CS-fuzzy. The CS’s computational intelligence was employed to optimize the structure of fuzzy systems. The proposed CS-fuzzy computing scheme was then applied to design an optimal real-time control method for omni-Mecanum-wheeled autonomous vehicles with four wheels. Both vehicle model and CS-fuzzy optimization are considered to achieve intelligent tracking control of Mecanum mobile vehicles. The control parameters of the Mecanum fuzzy controller are online-adjusted to provide real-time capability. This methodology outperforms the traditional offline-tuned controllers without computational intelligences in terms of real-time control, performance, intelligent control and evolutionary optimization. The mechatronic design of the experimental CS-fuzzy based autonomous mobile vehicle was developed using FPGA realization. Some experimental results and comparative analysis are discussed to examine the effectiveness, performance, and merit of the proposed methods against other existing approaches.

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