A New Seven-Segment Profile Algorithm for an Open Source Architecture in a Hybrid Electronic Platform

García-Martínez, José R.; Rodríguez‐Reséndiz, Juvenal; Cruz-Miguel, Edson E.

doi:10.3390/electronics8060652

Cited by 11 publications

(11 citation statements)

References 26 publications

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“…In addition, such methodology was elaborated, which performs on-line auto-tuning of the servo system with vibration monitoring. FPGA Spartan-3 Xilinx ISE-Xilinx -- [3] FPGA Altera MATLAB/Simulink -- [5] FPGA ICE40hx4k Lattice Open tool Empiric - [11] Raspberry Pi-FPGA ZYNQ 7 Xilinx Vivado-Xilinx -- [14] FPGA Spartan-3 Xilinx LabVIEW NI Empiric 0.1 ms [15] PC-Arduino Arduino MATLAB/Simulink pole assignment 60 ms [16] PC-Launchpad-Arduino Texas Instruments --50 ms [17] FPGA Max10 Altera NiosIIsoft -0.2 ms [26] Raspberry Pi-FPGA ZYNQ 7 Xilinx Vivado-Xilinx Fuzzy 5 ms…”

Section: Discussionmentioning

confidence: 99%

“…(s) In the case of this servo system, the velocity has to change following a characteristic shape in order to achieve a desired position, where the movement must be less aggressive when compared to a step input to avoid a high stress on the shaft of the motor. The velocity profiles consist on different shapes, which depend on the motion; these can be triangular, trapezoidal, S-curve, or parabolic functions [26]. The triangular and parabolic velocity profiles consist of accelerating and decelerating DC motor sections without a constant velocity phase.…”

Section: The Dynamic Model Of a Servo Systemmentioning

confidence: 99%

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A New Methodology for a Retrofitted Self-tuned Controller with Open-Source FPGA

Cruz-Miguel

García-Martínez

Rodríguez‐Reséndiz

et al. 2020

Sensors

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Servo systems are feedback control systems characterized by position, speed, and/or acceleration outputs. Nowadays, industrial advances make the electronic stages in these systems obsolete compared to the mechanical elements, which generates a recurring problem in technological, commercial and industrial applications. This article presents a methodology for the development of an open-architecture controller that is based on reconfigurable hardware under the open source concept for servo applications. The most outstanding contribution of this paper is the implementation of a Genetic Algorithm for online self tuning with a focus on both high-quality servo control and reduction of vibrations during the positioning of a linear motion system. The proposed techniques have been validated on a real platform and form a novel, effective approach as compared to the conventional tuning methods that employ empirical or analytical solutions and cannot improve their parameter set. The controller was elaborated from the Graphical User Interface to the logical implementation while using free tools. This approach also allows for modification and updates to be made easily, thereby reducing the susceptibility to obsolescence. A comparison of the logical implementation with the manufacturer software was also conducted in order to test the performance of free tools in FPGAs. The Graphical User Interface developed in Python presents features, such as speed profiling, controller auto-tuning, measurement of main parameters, and monitoring of servo system vibrations.

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Section: Discussionmentioning

confidence: 99%

Section: The Dynamic Model Of a Servo Systemmentioning

confidence: 99%

A New Methodology for a Retrofitted Self-tuned Controller with Open-Source FPGA

Cruz-Miguel

García-Martínez

Rodríguez‐Reséndiz

et al. 2020

Sensors

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“…A robotics application to control an inverted pendulum robot is designed, built, and programmed using open FPGA tools. In Reference [13], the rate of change in acceleration value is used to develop an S-curve velocity profile for motion control, which presents smoother movements to avoid high stress in the motor than in the trapezoidal velocity profile. The new methodology is developed applying an open source architecture in a hybrid electronic platform compounded by a system on a chip (SoC) Raspberry Pi 3 and a FPGA.…”

Section: The Present Issuementioning

confidence: 99%

Cognitive Robotics and Control

Ángulo

2020

Electronics

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“…Linear motor motion controllers are presented in many industrial applications, including sliding door closers, assambly, conveyor systems, electronic manufacturing, material handling, industrial test, and robotic applications [ 1 ]. Motion control is a sub-field of automation that involves controlling mechanical movements of load and it is applied directly to the actuator to manage physical variables, such as torque, acceleration, velocity and position of an axis or axes, depending of the degree of freedom (DoF) of the system [ 2 ]. Motion control is applied to avoid the stress that is produced by a fast movement and to reduce the vibrations that are caused by the high rate of change in acceleration; also, trajectories are created to reach a desired position that the actuators must achieve [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications

García-Martínez

Cruz-Miguel

Carrillo-Serrano

et al. 2020

Sensors

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Motion control is widely used in industrial applications since machinery, robots, conveyor bands use smooth movements in order to reach a desired position decreasing the steady error and energy consumption. In this paper, a new Proportional-Integral-Derivative (PID) -type fuzzy logic controller (FLC) tuning strategy that is based on direct fuzzy relations is proposed in order to compute the PID constants. The motion control algorithm is composed by PID-type FLC and S-curve velocity profile, which is developed in C/C++ programming language; therefore, a license is not required to reproduce the code among embedded systems. The self-tuning controller is carried out online, it depends on error and change in error to adapt according to the system variations. The experimental results were obtained in a linear platform integrated by a direct current (DC) motor connected to an encoder to measure the position. The shaft of the motor is connected to an endless screw; a cart is placed on the screw to control its position. The rise time, overshoot, and settling time values measured in the experimentation are 0.124 s, 8.985% and 0.248 s, respectively. These results presented in part 6 demonstrate the performance of the controller, since the rise time and settling time are improved according to the state of the art. Besides, these parameters are compared with different control architectures reported in the literature. This comparison is made after applying a step input signal to the DC motor.

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A New Seven-Segment Profile Algorithm for an Open Source Architecture in a Hybrid Electronic Platform

Cited by 11 publications

References 26 publications

A New Methodology for a Retrofitted Self-tuned Controller with Open-Source FPGA

A New Methodology for a Retrofitted Self-tuned Controller with Open-Source FPGA

Cognitive Robotics and Control

A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications

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