Design of Hybrid Fuzzy and Position-Velocity Controller for Precise Positioning of a Servo System

Abdelhameed, Esam H.; Mohamed, Tarek Hassan; Hamed, Marwa Mahmoud; Elsady, Gaber

doi:10.21608/ijaes.2020.169928

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Such PID controller can be tuned with various heuristic algrothms using MATLAB such as genetic algorithm [10], [11], Krill herd algorithm [12] and Smell agent optimization algorithm [13] for the position and speed control of the DC servomotor. Whereas, the papers [14]- [16] explain the advantages of other control techniques such as fuzzy logic [14], ANN [15], and a hybrid fuzzy and position-velocity controller [16] for the speed control of DC servomotor, using MATLAB /Simulink models. In paper [17] the parameter estimation of DC servomotor is analyzed using various toolboxes in MATLAB such as the Parameter Estimation Toolbox, and System Identification Toolbox.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Impact of Discretization Techniques on Real Time Simulation of DC Servo Motor Using FPGA

K. Namboothiripad

2024

IJCDS

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This paper explains the strategies to create a hardware-based real time model of DC servomotor by utilizing the FPGA technology that can accurately simulate the behavior of the servomotor in real-time. Such FPGA based hardware model is useful for testing control algorithms, validating designs, and optimizing performance for various applications because of its reconfiguration capabilities. The uniqueness of our paper lies in the application of C language for modeling a DC servomotor by discretizing the model with both Backward Euler (BE) and Trapezoidal (TRZ) methods. The discretized models are then implemented on FPGA using Vivado HLS and the performance is analyzed with change in step-size by comparing with the transfer function (TF) model. With 100 µsec step-size, TRZ response is found to be matching with the TF model, however, a step-size of 0.6 µsec was required for the BE. Also analyzed the feasibility of Hardware-in-the-Loop (HIL) technique by connecting the DC servomotor in loop with the PID controller on FPGA, again by varying the step-size. Both the BE and TRZ models could track the reference speed within 2 msec, because of the PID controller, however faster dynamics was observed in case of TRZ as compared to BE, especially with larger step-size. This analysis demonstrates the impact of step-size and discretization technique on real-time modeling. By selecting suitable values, the FPGA model can be efficiently harnessed to develop a tailored control algorithm and optimize performance for diverse applications.

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Section: Introductionmentioning

confidence: 99%

Analyzing the Impact of Discretization Techniques on Real Time Simulation of DC Servo Motor Using FPGA

K. Namboothiripad

2024

IJCDS

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“…In addition to the above advantages, the servo motors (SM) have other advantages of high flexibility, low cost, and high reliability. There are problems when controlling the motor speed where the characteristics are non-linear and the engine is a time-varying nature, so servo motor needs highly efficient control units or they are called expert controllers it is added to the traditional controllers to control the speed and position of the motor or to improve the performance [6][7][8][9][10]. The study presented [11] a simulation model of the (SM), the use of the PID controller, and the simulation of the mathematical model of the motor in improving the performance of the motor.…”

Section: Introductionmentioning

confidence: 99%

Simulation Model of PID Controller for DC Servo Motor at Variable and Constant Speed by Using MATLAB

Abdullah¹,

Shneen²,

Dakheel³

2023

Journal of Robotics and Control

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The current simulation is conducted in order to develop an appropriate design for the control systems and control the speed of the electric motor. To obtain the appropriate and required design, work is carried out for two cases, a constant speed and the other case at variable speed in different conditions for operation of dc servo motor, these conditions include rotating in a clockwise direction, break and returns rotating in the opposite clockwise direction. Through the proposed working conditions, it is possible to obtain the best values for the parameters of the control unit that improve the working performance of dc servo motor, which were shown by the simulation results and their values were kp =5, ki=3 and kd=5 for PID controller. Which changed the system response speed, rise time and the upper and lower bypass ratio at acceptable rates and ratios to prove an improvement procedure in the work of the electric motor.

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“…In Mezher [5] include using laboratory virtual instrumentation engineering workbench (LabVIEW) program and PID controller to speed control of the DCSM by using a three basic processes: Proportional, integrative and derivative. In [6] this study proposed a robust control unit against load disturbance as a control scheme for a servo motor and used numerical simulation to verify the  Simulation model of ANN and PID controller for direct current servo motor by … (Hashmia S. Dakheel) 923 effectiveness of the scheme. In [7] optimum engine starting performance is obtained and an induction-type motor is optimized using artificial intelligence (AI), which reduces current, torque and flow.…”

Section: Introductionmentioning

confidence: 99%

Simulation model of ANN and PID controller for direct current servo motor by using Matlab/Simulink

et al. 2022

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In the current era, researchers have been active in confirming and achieving their work through simulation using the computer program Matlab, in addition to the comparison between different control methods is also one of the prevailing behaviors, and the focus has been on the use of electrical machines in industry through multiple applications. Researchers in this study selected type of electric motors and two types of control systems for comparison, and to verify the possibility of improving the system's work performance through the simulation results, the process of achieving the objectives of the current research is carried out. This paper presents using conventional proportional-integral-derivative (PID) controller and artificial neural networks (ANN) with direct current servo motor (DCSM) in order to obtain good performance characteristics because of efficient and widely use of this motor in the fields of control. The motor model in addition to the controller is built using Matlab simulation software. A comparison was made between these controllers (PID and ANN), where the simulation results indicate that the neural networks being developmental in the process of simulating the operation of the servo motor type and got good performance and better results from the traditional real-time console use case.

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Design of Hybrid Fuzzy and Position-Velocity Controller for Precise Positioning of a Servo System

Cited by 3 publications

References 6 publications

Analyzing the Impact of Discretization Techniques on Real Time Simulation of DC Servo Motor Using FPGA

Analyzing the Impact of Discretization Techniques on Real Time Simulation of DC Servo Motor Using FPGA

Simulation Model of PID Controller for DC Servo Motor at Variable and Constant Speed by Using MATLAB

Simulation model of ANN and PID controller for direct current servo motor by using Matlab/Simulink

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