scholarly journals Improved Internal Model Control Technique for Position Control of AC Servo Motors

2020 ◽  
Vol 19 (1) ◽  
pp. 33-40
Author(s):  
Abdul Wali Abdul Ali ◽  
Abdullah Hadi Alquhali
Keyword(s):  
Internal Model ◽  
Position Control ◽  
Internal Model Control ◽  
Control Technique ◽  
Step Response ◽  
Servo Motor ◽  
External Disturbances ◽  
Ac Servo ◽  
Model Control ◽  
Ac Servo Motor

This paper focuses on the simulation analysis of the conventional Internal Model Control (IMC) technique and the development of two proposed control techniques for the position control of AC Servo Motor. Internal Model Control (IMC) technique [1] was only able to control the AC Servo Motor under static load condition. Also, it had step response problems, and it was not robust against external disturbances. For these reasons, the IMC technique was further improved to control the AC Servo Motor under dynamic load conditions by proposing Amended Internal Model Controller (AIMC). The step response and the robustness of AIMC against external disturbances were further improved by proposing AIMC+FLC. Where a Fuzzy Logic Controller (FLC) is designed and connected with the AIMC.

scholarly journals Microtension control for a yarn winding system with an IMC PID controller

2019 ◽  
Vol 20 (6) ◽  
pp. 609 ◽  
Author(s):  
Qing Wang ◽  
Anqing Li ◽  
Yuanyuan Li ◽  
Jixin Liu ◽  
Hui Shen ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Textile Industry ◽  
Pid Controller ◽  
Feedforward Control ◽  
Internal Model Control ◽  
Servo Motor ◽  
Yarn Tension ◽  
Ac Servo ◽  
Model Control ◽  
Ac Servo Motor

In this paper, feedforward compensation and an internal model control (IMC) PID tuning method to maintain the yarn tension within a micro-boundary range are proposed. The proposed method can be used to improve the quality of products in textile industry. We first develop a mathematical model of the AC servo motor and yarn tension system. Based on the results of the mathematical model, an IMC PID controller is designed to control the microtension of the yarn. The proposed IMC-PID controller can be directly calculated from the time constant and time delay. Feedforward control is used to compensate for the linear velocity of the winding roller. To reduce the lateral vibrations of the yarn, we designed an active roller to nip the moving yarn. The active roller compensates for the variation in the diameter of the unwinding roller. The proposed method effectively improves the dynamics performance and the robustness of the system, and is appropriate for industrial application. Experimental instruments, including a tension sensor, an AC servo motor and a motion controller, equipped with a computer, are used to test the proposed method. The simulation and experimental results show the effectiveness of the proposed controller for the yarn microtension control system.

Decoupling control of magnetically suspended motor rotor with heavy self-weight and great moment of inertia based on internal model control

2021 ◽  
pp. 107754632199761
Author(s):  
Biao Xiang ◽  
Waion Wong
Keyword(s):  
Internal Model ◽  
Degrees Of Freedom ◽  
Coupling Effect ◽  
Control Model ◽  
Internal Model Control ◽  
Moment Of Inertia ◽  
Decoupling Control ◽  
External Disturbances ◽  
Model Control ◽  
Simulation And Experiment

The control performance of magnetically suspended motor with heavy self-weight and great moment of inertia is affected by parameter uncertainty and external disturbances, and the coupling effect in radial tilting of magnetically suspended motor becomes serious with the increase of rotational speed and moment of inertia, and then, the robustness would be reduced. Therefore, an internal model control model is proposed to adjust the robustness of magnetically suspended motor. Based on the internal model control model, a decoupling internal model control model is designed for magnetically suspended motor on four degrees of freedom. Simulation and experiment are conducted to verify that the internal model control model improves the robust stability of magnetically suspended motor, and the decoupling internal model control model effectively realizes the decoupling control of magnetically suspended motor on four degrees of freedom.

scholarly journals Experimental validation of fractional order internal model controller design on buck and boost converter

2020 ◽  
pp. 002029402092226
Author(s):  
Shivam Jain ◽  
Yogesh V Hote ◽  
Padmalaya Dehuri ◽  
Deeksha Mittal ◽  
Vishwanatha Siddhartha
Keyword(s):  
Fractional Order ◽  
Internal Model ◽  
Experimental Validation ◽  
Boost Converter ◽  
Internal Model Control ◽  
Control Technique ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Control Scheme ◽  
Model Control

In this paper, fractional order internal model control technique is formulated for non-ideal dc–dc buck and boost converter. The fractional order internal model control approach integrates the concept of Commande Robuste d’Ordre Non Entier principle for tuning a fractional order filter with internal model control scheme. The final controller can be expressed as a series combination of proportional integral derivative controller and a fractional order low pass filter. To assess the robustness of the proposed fractional order internal model control scheme, both the servo response and regulatory response of the dc–dc converters are investigated in the presence of disturbances. The efficacy of fractional order internal model control technique is demonstrated via comparison with 2 degrees of freedom internal model control scheme. Furthermore, an experimental validation of fractional order internal model control is conducted on laboratory setup, and a dSPACE 1104 microcontroller is used for hardware implementation. The simulation results and the hardware validation are a testimony to the effectiveness of fractional order internal model control technique.

Effective PID Parameters Self-Tuning Rule Based on Internal Model Control

2012 ◽  
Vol 466-467 ◽  
pp. 1115-1119 ◽  
Author(s):  
Yang Liu ◽  
Qin Ruo Wang
Keyword(s):  
Time Delay ◽  
Internal Model ◽  
Internal Model Control ◽  
Step Response ◽  
Inertial System ◽  
Rule Based ◽  
Practical Applications ◽  
Model Control ◽  
Self Tuning ◽  
Tuning Pid Parameters

The methods of self-tuning PID parameters are widely used in industry process control. This paper elaborated the principle and design of internal model control, and it is used for PID parameters self-tuning. By simulation, for a time-delay inertial system, the step response curses are obtained with different methods of self-tuning PID parameters. Compared and analyzed the curses, it shows that the present method of self-tuning IMC-PID parameters has a good performance in the time-delay inertial system. It has great potential for practical applications.

scholarly journals AC Servo Motor Speed and Position Control Using Particle Swarm Optimization (PSO)

2015 ◽  
Vol 2 (2) ◽  
pp. 159-164
Author(s):  
Mehmet Fatih Isik ◽  
◽  
Erhan Cetin ◽  
Halil Aykul ◽  
Husamettin Bayram ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Position Control ◽  
Particle Swarm ◽  
Servo Motor ◽  
Motor Speed ◽  
Swarm Optimization ◽  
Ac Servo ◽  
Ac Servo Motor

scholarly journals Robust Control and Stability Analysis of Computerized Numeric Controlled Machine Tool under Parametric Uncertainty

2020 ◽  
Vol 53 (5) ◽  
pp. 661-670
Author(s):  
Anil Kumar Yadav ◽  
Pawan Kumar Pathak ◽  
Prerna Gaur
Keyword(s):  
Machine Tool ◽  
Position Control ◽  
Robustness Analysis ◽  
Stability Margin ◽  
Parametric Uncertainty ◽  
Internal Model Control ◽  
Servo Motor ◽  
Control Techniques ◽  
Model Control ◽  
The Stability

The objective of this paper is to design three different robust controllers such as proportional-integral (PI), internal model control (IMC), and H∞ control techniques for position control of the computerized numeric controlled machine tool (CNCMT) system. The proposed controllers aim to control the servo motor that regulates the position of the machine table and also enhances the robustness of the CNCMT system under the influence of parametric uncertainties. The stability of the uncertain CNCMT system with all designed controllers is investigated using Kharitonov’s theorem. The stability margin (SM) criterion is utilized for robustness analysis.

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