Design and FPGA-implementation of an improved adaptive fuzzy logic controller for DC motor speed control

Ramadan, Ebrahim Abd El-Hamid Mohamed; El-Bardini, Mohammad; Fkirin, M. A.

doi:10.1016/j.asej.2014.04.002

Cited by 28 publications

(11 citation statements)

References 15 publications

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“…DC motor as the power source has fine drive ratio that makes speed adjustment easier to find a perfect speed to coordinate with the camera video acquisition and WiFi transmission speeds [4]. It is in small size with compact structure and strong ability to withstand overloads, which satisfies the requirements for a robot to work in a narrow and harsh environment.…”

Section: Power Sourcementioning

confidence: 98%

Design of a Vehicle Chassis Inspection Robot Based on WiFi Network

Zhao¹,

Sui²,

Hou³

et al. 2017

TOEEJ

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Background:The vehicle chassis inspection robot introduced in this paper is capable of realizing automatic tracking, obstacle avoidance, and video image acquisition. The robot can be connected to a computer, mobile phone or other terminals through a WiFi network built within the robot, so as to achieve real time control of the robot motion, and to display videos or images collected by the robot on the computer screen. The system is simple and easy to operate, with high stability, high flexibility, precise directional control, and can satisfy the requirements in harsh environment. Methods and Materials:This design adopts a STC11F32XE microcontroller as the core, uses an ultrasonic sensor to detect the road objects and calculate the distance to the objects, anticipates and avoids obstacle during processing. The camera performs image acquisition and returns the picture to help easy detection of automotive chassis and manual robot control. The robot uses an infrared sensor to realize automatic obstacle avoidance, and it controls the travel speed as well as automatic stop by changing the PWM duty cycle. Conclusion:Through this research, an intelligent vehicle parking inspection system has been developed.

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Section: Power Sourcementioning

confidence: 98%

Design of a Vehicle Chassis Inspection Robot Based on WiFi Network

Zhao¹,

Sui²,

Hou³

et al. 2017

TOEEJ

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show abstract

“…The work of Ramadan et al [36], presents an improved adaptive fuzzy logic speed controller for a DC motor, based on FPGA hardware implementation. The developed controller includes an adaptive fuzzy logic control algorithm, which is designed and verified with a nonlinear model of DC motor.…”

Section: Fpga Applicationmentioning

confidence: 99%

Literature Review for Digital Implementations of Fuzzy Logic Type-1 and Type-2

Ponce-Cruz

Molina

MacCleery

2015

Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA

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Some works are described below where optimization Type-1 and Type-2 FLS have had relative success according to different areas, illustrating the advantages of using methods to automate process with fuzzy controllers.The work of Sudha and Vijai Santhi [1], deals with the load frequency control (LFC) problem, which has been a major subject in electrical power system such as design and operation. In practice, LFC systems use simple proportional integral (PI) controllers. However, it shows that fuzzy logic controller is adaptive in nature and is applied successfully for power system stabilization control. Authors propose a type-2 fuzzy approach for load frequency control of two-area interconnected reheat thermal power system with the consideration of Generation Rate Constraint (GRC). The performance of the type-2 controller is compared with conventional controller and Type-1 fuzzy controller with regard to Generation Rate Constraint (GRC). The system parametric uncertainties are verified by changing parameters by 40% simultaneously from their typical values.The authors Jammeth and Fleury in their work [2] use an interval Type-2 FLC that gets better video quality compared with traditional controllers. They also use Type-1 FLC to show the response in different network scenarios, such like Internet cross-traffic, video streams occupy on an Internet protocol (IP) network. Type-2 FLC is designed for Internet conditions so they can react successfully to the network conditions of an IP-network. Type-2 FLC resulted in an order of magnitude performance improvement in comparison with Type-1 FLC.The work of Lee and Lin [3], proposes a new control scheme using type-2 fuzzy neural network (type-2 FNN) and adaptive filter for controlling nonlinear uncertain systems. This type-2 FNN model combines the advantages of type-2 fuzzy logic systems and neural networks. The type-2 FNN system has the ability of universal approximation, which identifies nonlinear dynamic systems. The control scheme consists of a PD-type adaptive FNN controller and a pre-filter. The adaptive filter is

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“…In Ramadan et al (2014), a speed controller for a DC motor was created from fuzzy logic. In this research, the implementation took place in FPGA (Field Programmable Gate Array).…”

Section: Fuzzy Logicmentioning

confidence: 99%

Dead Zone Compensation in Direct Current Motors: A Review

Souza

Azzolin

2020

Anais Do Congresso Brasileiro De Automática 2020

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As one of the types of electric motors, DC motors are presented, a class of motors that is commonly used in torque and speed control systems. The control of these motors in real applications is affected by system nonlinearities, such as the dead zone, which limits the motor to fulfill its task with precision since it disables the motor movement for certain applied inputs. Thus, control methods need to be implemented to compensate it. Three modern control methods generate good compensation results: artificial neural networks, fuzzy logic and sliding mode control. Thus, this study aims to perform a review of the available literature on the use of these methods in the compensation of the dead zone in direct current motors.

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Design and FPGA-implementation of an improved adaptive fuzzy logic controller for DC motor speed control

Cited by 28 publications

References 15 publications

Design of a Vehicle Chassis Inspection Robot Based on WiFi Network

Design of a Vehicle Chassis Inspection Robot Based on WiFi Network

Literature Review for Digital Implementations of Fuzzy Logic Type-1 and Type-2

Dead Zone Compensation in Direct Current Motors: A Review

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