A lab-scale heliostat positioning control using fuzzy logic based stepper motor drive with micro step and multi-frequency mode

Jirasuwankul, Nirudh; Manop, Chalermchat

doi:10.1109/fuzz-ieee.2017.8015479

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…Frontiers in Mechanical Engineering frontiersin.org attractive research topic (Hu, 2022). The fuzzy control algorithm has been verified to adjust the parameters of the control object by establishing fuzzy rules in line with different running states (Jirasuwankul and Manop, 2017). Wang et al (Wang and Cao, 2020) optimized the sliding mode observer in the closed-loop control system of stepper motor by using a fuzzy algorithm and realized the optimal control by adaptively adjusting the observer gain, and the results showed a good tracking effect on its speed and displacement through experiments.…”

Section: Figurementioning

confidence: 99%

Collaborative control for in situ monitoring of molten pool in selective laser melting

et al. 2023

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In situ monitoring during the selective laser melting (SLM) process is a promising solution to mitigate defects and improve the quality of as-built parts. However, the existing monitoring platform lacks collaborative control of the process monitoring components, and as a result, it cannot realize a real-time and accurate signal acquisition at a close distance and multiple angles during the whole printing process. In this paper, driven by multiple motors, an off-axis monitoring platform is constructed that enables movement in conjunction with the scraper and laser beam. A fuzzy control-based velocity optimization is proposed to avoid the shock effect on the imaging quality of the CMOS camera and the collision of the scraper and laser. The error between the current location and target location of the molten pool is utilized as the input of the fuzzy controller. Then, the parameters of the PI controller of the stepping motor are dynamically adjusted. ADAMS and SIMULINK co-simulation are conducted to verify the feasibility of the fuzzy algorithm. Finally, the experiment of collaborative motion and the responses of each module are conducted. The results show that with the proposed collaborative platform, the response speed of the system is improved by about 49.6%, and the initial speed of the motor is decreased by about 12.6%, thus avoiding excessive acceleration of the motor. The response time of each motor is ahead of schedule by about 31.8%, which meets the requirements of motion response for SLM process monitoring.

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Section: Figurementioning

confidence: 99%

Collaborative control for in situ monitoring of molten pool in selective laser melting

et al. 2023

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“…The results showed a faster output response and a smaller overshoot than a classic PID controller. Jirasuwankul and Manop [31] applied an FLC to control the orientation of a lab-scale heliostat with two stepper motors by using a micro-step driver. The position of the heliostat is obtained by using image processing of the reflected solar radiation on the target.…”

Section: Introductionmentioning

confidence: 99%

Development of a DSP Microcontroller-Based Fuzzy Logic Controller for Heliostat Orientation Control

2020

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This paper describes the design and implementation of a heliostat orientation control system based on a low-cost microcontroller. The proposed system uses a fuzzy logic controller (FLC) with the Center of Sums defuzzification method embedded on a dsPIC33EP256MU806 Digital Signal Processor (DSP), in order to modify the orientation of a heliostat by controlling the angular position of two DC motors connected to the axes of the heliostat. The FLC is compared to a traditional Proportional-Integral-Derivative (PID) controller to evaluate the performance of the system. Both the FLC and PID controller were designed for the position control of the heliostat DC motors at no load, and then they were implemented in the orientation control of the heliostat using the same controller parameters. The experimental results show that the FLC has a better performance and flexibility than a traditional PID controller in the orientation control of a heliostat.

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“…These modeled equations are used to know the system response of a stepper motor. Positioning control technique for a lab-scale heliostat by using of hybrid stepper motors and fuzzy logic controllers is proposed by Jirasuwankul and Manop [10].…”

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confidence: 99%

Controlling the half-step mode operation of the variable reluctance stepper motor by using Mamdani type of fuzzy logic controller

Mhawesh

Kashkool

2022

IJECE

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<span lang="EN-US">This paper proposed the step angle controlling of the half-step mode operation of the variable reluctance stepper motor (VRSM) by using Mamdani type of fuzzy logic controller (FLC). The MATLAB program was used to achieve the approach. The VRSM that was used in this paper has six stator poles and four rotor poles. The VRSM has three phases that represent the input variables and the step angle represents the output variable in the FLC in MATLAB. Membership functions were created for the input and output variables. The rules of the FLC were built in MATLAB. The theoretical step angles results of the VRSM were obtained by using mathematically equation while the practical results were obtained by using MATLAB. The obtained results are closer to the actual results depending on the comparison between the theoretical and practical readings. These results were written in table and were plotted in figure.</span>

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A lab-scale heliostat positioning control using fuzzy logic based stepper motor drive with micro step and multi-frequency mode

Cited by 9 publications

References 11 publications

Collaborative control for in situ monitoring of molten pool in selective laser melting

Collaborative control for in situ monitoring of molten pool in selective laser melting

Development of a DSP Microcontroller-Based Fuzzy Logic Controller for Heliostat Orientation Control

Controlling the half-step mode operation of the variable reluctance stepper motor by using Mamdani type of fuzzy logic controller

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