Actuator System - Explore the Science & Experts | ideXlab

Scan Science and Technology

Contact Leading Edge Experts & Companies

Actuator System

The Experts below are selected from a list of 19737 Experts worldwide ranked by ideXlab platform

Jawaid I. Inayat-hussain – 1st expert on this subject based on the ideXlab platform

  • Fuzzy control scheme for dual-acting magnetic bearing Actuator System
    IEEE Conference on Robotics Automation and Mechatronics 2004., 2004
    Co-Authors: M.k. Habib, Jawaid I. Inayat-hussain

    Abstract:

    Active magnetic bearings are increasingly being utilized in rotating machinery applications as an alternative to the conventional rolling-clement and fluid-film bearing types. Magnetic bearing is an open-loop unstable System, and in most practical applications, a PID controller is utilized to ensure stable operation of the rotating machinery. The PID controller, however, becomes ineffective when the machine operates in highly nonlinear regimes. This paper develops a fuzzy logic control scheme to improve the performance of a dual-acting magnetic bearing Actuator System operating in nonlinear regimes. The nonlinearity in this System is due to the relationship between the forces generated in the electromagnetic Actuator and the coil current and the air gap between the rotor and the stator. The dynamic response of the magnetic bearing Actuator System based on the fuzzy logic scheme proposed in this work was found to be much better as compared to the response of the System based on the conventional PD controller. The fuzzy logic control scheme presented in this work may be used for the nonlinear control of Systems that operates in nonlinear regimes.

  • Control of dual acting magnetic bearing Actuator System using fuzzy logic
    Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Aut, 2003
    Co-Authors: M.k. Habib, Jawaid I. Inayat-hussain

    Abstract:

    In this paper, a fuzzy logic scheme is developed to improve the performance of a magnetic bearing control System. The developed fuzzy logic strategy is utilized in the non-linear control of a dual-acting magnetic bearing Actuator System. The mathematical model of a dual acting magnetic bearing axis has been developed. The non-linearity in this System is due to the relationship between the forces generated in the electromagnetic Actuator and the coil current and the air gap between the rotor and the stator. Non-linearities in magnetic bearing Systems limit the control effectiveness and the region of stable performance. The model is used for dynamic simulation purposes and it is not directly used in the fuzzy controller design. Active magnetic bearing with adaptive fuzzy control showed a good improvement in step response compared to a linear PID or a steady state controller. With the presented fuzzy logic based strategy, nonlinear controllers for nonlinear applications can be designed with little effort.

M.k. Habib – 2nd expert on this subject based on the ideXlab platform

  • Fuzzy control scheme for dual-acting magnetic bearing Actuator System
    IEEE Conference on Robotics Automation and Mechatronics 2004., 2004
    Co-Authors: M.k. Habib, Jawaid I. Inayat-hussain

    Abstract:

    Active magnetic bearings are increasingly being utilized in rotating machinery applications as an alternative to the conventional rolling-clement and fluid-film bearing types. Magnetic bearing is an open-loop unstable System, and in most practical applications, a PID controller is utilized to ensure stable operation of the rotating machinery. The PID controller, however, becomes ineffective when the machine operates in highly nonlinear regimes. This paper develops a fuzzy logic control scheme to improve the performance of a dual-acting magnetic bearing Actuator System operating in nonlinear regimes. The nonlinearity in this System is due to the relationship between the forces generated in the electromagnetic Actuator and the coil current and the air gap between the rotor and the stator. The dynamic response of the magnetic bearing Actuator System based on the fuzzy logic scheme proposed in this work was found to be much better as compared to the response of the System based on the conventional PD controller. The fuzzy logic control scheme presented in this work may be used for the nonlinear control of Systems that operates in nonlinear regimes.

  • Control of dual acting magnetic bearing Actuator System using fuzzy logic
    Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Aut, 2003
    Co-Authors: M.k. Habib, Jawaid I. Inayat-hussain

    Abstract:

    In this paper, a fuzzy logic scheme is developed to improve the performance of a magnetic bearing control System. The developed fuzzy logic strategy is utilized in the non-linear control of a dual-acting magnetic bearing Actuator System. The mathematical model of a dual acting magnetic bearing axis has been developed. The non-linearity in this System is due to the relationship between the forces generated in the electromagnetic Actuator and the coil current and the air gap between the rotor and the stator. Non-linearities in magnetic bearing Systems limit the control effectiveness and the region of stable performance. The model is used for dynamic simulation purposes and it is not directly used in the fuzzy controller design. Active magnetic bearing with adaptive fuzzy control showed a good improvement in step response compared to a linear PID or a steady state controller. With the presented fuzzy logic based strategy, nonlinear controllers for nonlinear applications can be designed with little effort.

Mohd Fuaa'd Rahmat – 3rd expert on this subject based on the ideXlab platform

  • Optimization of Modified Sliding Mode Control for an Electro-Hydraulic Actuator System with Mismatched Disturbance
    2018 5th International Conference on Electrical Engineering Computer Science and Informatics (EECSI), 2018
    Co-Authors: Mohd Fuaa'd Rahmat, Siti Marhainis Othman, S. Md Rozali

    Abstract:

    This paper presents a modified sliding mode controller (MSMC) for tracking purpose of electro-hydraulic Actuator System with mismatched disturbance. The main contribution of this study is in attempting to find the optimal tuning of sliding surface parameters in the MSMC using a hybrid algorithm of particle swarm optimization (PSO) and gravitational search algorithms (GSA), in order to produce the best System performance and reduce the chattering effects. In this regard, Sum square error (SSE) has been used as the objective function of the hybrid algorithm. The performance was evaluated based on the tracking error identified between reference input and the System output. In addition, the efficiency of the designed controller was verified within a simulation environment under various values of external disturbances. Upon drawing a comparison of PSOGSA with PSO and GSA alone, it was learnt that the proposed controller MSMC, which had been integrated with PSOGSA was capable of performing more efficiently in trajectory control and was able to reduce the chattering effects of MSMC significantly compared to MSMC-PSO and MSMC-GSA, respectively when the highest external disturbance, 10500N being injected into the System‘s Actuator.

  • Disturbance rejection using Model Predictive control for pneumatic Actuator System
    2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA), 2016
    Co-Authors: Siti Fatimah Sulaiman, Mohd Fuaa'd Rahmat, Ahmad 'athif Mohd Faudzi, Khairuddin Osman

    Abstract:

    `Disturbance’ is one of the main reasons why the position control in pneumatic System is difficult to achieve. Disturbance can cause the process (controlled variable) to deviate from their respective set-point and at the same time tracking the set-point is quite impossible. The controller is said to be good if it has the ability to reject the disturbance, as this will ensure the stability of the controller itself. This paper presents the performance analysis of Model Predictive Controller (MPC) to reject the disturbance added into the System while controlling the position of cylinder’s stroke for pneumatic Actuator System. The disturbance was added into the System in order to test the performance of the controllers in rejecting the disturbance. The input constraint was also applied to the MPC algorithm to make the controller operates closer to the limits. In this paper, the performance of MPC in rejecting the disturbance as well as controlling the position of the pneumatic Actuator System was compared with Proportional-Integral (PI) controller. Simulation results show the constrained MPC is more effective than unconstrained MPC and PI controller in producing better transient response and minimizing error.

  • Application of Draw Wire Sensor in the Tracking Control of An Electro Hydraulic Actuator System
    Jurnal Teknologi, 2015
    Co-Authors: Sazilah Salleh, Mohd Fuaa'd Rahmat, Siti Marhainis Othman, Hafilah Zainal Abidin

    Abstract:

    A draw wire sensor is considered as a contact measurement method. It is normally used to measure the speed and position of a System. A draw wire sensor is convenient especially when a low cost solution and a small sensor dimension are desired. The objective of this paper is to describe the application of draw wire sensor in control tracking of electro hydraulic Actuator System. This research started with the modelling of electro hydraulic Actuator System by using System identification approach. During the data taking process, an experiment is conducted using electro hydraulic Actuator test bed. A draw wire sensor is attached to the load of electro hydraulic Actuator System to measure the output displacement when the System is injected with the desired input signal. Draw wire sensor is measuring the output displacement in millimeters and then the signal is converted to voltage reading regarding to the given input signal. The input and output signal is collected and is used in System identification technique to obtain the best mathematical model that can represent the electro hydraulic Actuator System. Once a model is obtained, a Self Tuning Controller (STC) with Generalize Minimum Variance Control (GMVC) strategy is designed to control the tracking performance of the electro hydraulic Actuator System. The designed controller is tested in simulation and experiment mode. Then, the output result from both modes is compared. The results show that the output performance from both modes are almost similar. Thus, this research had shown that a draw wire sensor has a significant role in capturing an accurate output data from electro hydraulic Actuator System even with or without the controller.