Variable Speed Control Using Fuzzy-PID Controller for Two-phase Hybrid Stepping Motor in Robotic Grinding

Attiya, Adnan Jabbar; Shneen, Salam Waley; Abbas, Basma Abdullah; Yang, Wei

doi:10.11591/ijeecs.v3.i1.pp102-118

Cited by 11 publications

(19 citation statements)

References 14 publications

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“…The most conventional PID controller is described in (3): 121 , , and is referred to the proportional, integral, and derivative constant gain respectively. Is the output of PID controller, and is error signal between the input reference and the process output, Figure 3, shows the internal structure of PIDC with input parameters ( , , , , and ), and with as an output parameter [22,23]. The control on congestion in a TCP network is considered a very complex and nonlinear process, so the fuzzy logic is used to reduce the effect of these problems, Figure 4, is shown all block diagrams that describes the fuzzy controller operation.…”

Section: The Pid Controller and Flcmentioning

confidence: 99%

Fuzzy type 1 PID controllers design for TCP/AQM wireless networks

Oudah

Sulttan

Shneen

2021

IJEECS

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The search of FLC_PID controller for TCP/AQM Wireless Networks, to deal with congestion for Internet users and to get good performance and capabilities of TCP / IP networks. Neglect of controlling the network delay and the number of continuous users that leads to a problem in the transmission process. Recently, automatic control units are adapted to solve this problem with the difficulty of controlling congestion in the presence of wireless links. This modest research presents one of the traditional PID controller methods with fuzzy logic so that wireless networks and congestion can be controlled by various configurations. The proposed methods were simulated with the required comparisons in the adoption of nonlinear systems to determine the best performance and it was found that the use of the Fuzzy logic control can achieve the best performance (reducing the delay time of delivering packets and packets loss). The simulation of the current work shows through its results the possibility of controlling the behavior of the system and through testing the balance when changed with time delay through the impact of communication time and its relationship with the stability of the work of the system.

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Section: The Pid Controller and Flcmentioning

confidence: 99%

Fuzzy type 1 PID controllers design for TCP/AQM wireless networks

Oudah

Sulttan

Shneen

2021

IJEECS

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“…Power electronic devise (DC-DC converter) have used in many electronic systems [9]- [11] such as power generation systems, renewable energies, communication systems and in many industrial applications [12]- [14]. Power electronic devise (DC-DC converter) are small and possess high efficiency, which gave them high reliability for use in various fields [15]- [17]. PWM works to control the converter with the adoption of tuning for traditional control systems such as PI, PD or PID.…”

Section: Introductionmentioning

confidence: 99%

Simulation model of PID for DC-DC converter by using MATLAB

Shneen

Shaker

Abdullah

2021

IJECE

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The change in loads in most applications whose source of nutrition is a renewable energy system. Renewable energy systems can change according to climatic conditions. To control and control these changes, the use of conventional control systems such as PIDs. The PID is one of the most common and used conventional control systems that have been chosen to output the type of power electronic devise (DC-DC converter) in different working conditions. The current study aims to improve the system performance through simulation. Simulation results demonstrate the effectiveness of the system with the controller based on setting parameters such as recording system states, embedded elevation time and transient response.

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“…While the new strategy promotes traditional PI control performance to a large extent, and proves to be a model-free approach completely, it also keeps the structure and features of a simple PI controller [4][5].The use consoles mode instead of Fuzzy-PI control to improve the performance of engines. To control the speed of motor using fuzzy logic (FL) approach leads to a speed control to improve the dynamic behavior of the motor drive system and immune disorders to download and parameter variations [6][7]. In the drive systems, and gains from the traditional can't usually be set in proportion-integral (PI) controller because of mechanical resonance.…”

Section: Introductionmentioning

confidence: 99%

Advanced optimal by PSO-PI for DC motor

Jeaeb

Salman

Jawad

et al. 2019

IJEECS

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Interest in the drive system which used in many applications is increasing day by day. So, many researchers have focused on the analyses, design and control of these systems. In this study, Optimal for Dc motor in drive system control strategy has been proposed for PSO-PI and fuzzy logic controller (FLC) based Dc motor in drive system. In order to test dynamic performance of PSO-PI based drive System, simulation study was carried out by MATLAB/Simulink. The results obtained from the PSO-PI based drive system are not only superior in the rise time, settling time and overshoot but can prevent from voltage and has improved power quality.

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Variable Speed Control Using Fuzzy-PID Controller for Two-phase Hybrid Stepping Motor in Robotic Grinding

Abstract: In a robotic grinding process, a light-weight grinder is held by an intelligible robot arm. Material

Cited by 11 publications

References 14 publications

Fuzzy type 1 PID controllers design for TCP/AQM wireless networks

Fuzzy type 1 PID controllers design for TCP/AQM wireless networks

Simulation model of PID for DC-DC converter by using MATLAB

Advanced optimal by PSO-PI for DC motor

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