The Experts below are selected from a list of 4500 Experts worldwide ranked by ideXlab platform

Faajeng Lin - One of the best experts on this subject based on the ideXlab platform.

  • a supervisory fuzzy neural network controller for slider Crank Mechanism
    Mechatronics, 2001
    Co-Authors: Faajeng Lin, Rongfong Fung, Hsinhai Lin, Chihming Hong
    Abstract:

    A supervisory fuzzy neural network (FNN) controller is proposed to control a nonlinear slider-Crank Mechanism in this study. The control system is composed of a permanent magnet (PM) synchronous servo motor drive coupled with a slider-Crank Mechanism and a supervisory FNN position controller. The supervisory FNN controller comprises a sliding mode FNN controller and a supervisory controller. The sliding mode FNN controller combines the advantages of the sliding mode control with robust characteristics and the FNN with on-line learning ability. The supervisory controller is designed to stabilize the system states around a defined bound region. The theoretical and stability analyses of the supervisory FNN controller are discussed in detail. Simulation and experimental results are provided to show that the proposed control system is robust with regard to plant parameter variations and external load disturbance.

  • a fuzzy neural network controller with adaptive learning rates for nonlinear slider Crank Mechanism
    Neurocomputing, 1998
    Co-Authors: Faajeng Lin
    Abstract:

    A fuzzy neural network (FNN) controller with adaptive learning rates is proposed to control a nonlinear Mechanism system in this study. First, the network structure and the on-line learning algorithm of the FNN is described. To guarantee the convergence of the tracking error, analytical methods based on a discrete-type Lyapunov function are proposed to determine the adaptive learning rates of the FNN. Next, a slider-Crank Mechanism, which is driven by a permanent magnet (PM) synchronous motor, is studied as an example to demonstrate the effectiveness of the proposed control technique; the FNN controller is implemented to control the slider position of the motor-slider-Crank nonlinear Mechanism. The robust control performance and learning ability of the proposed FNN controller with adaptive learning rates is demonstrated by simulation and experimental results.

Ibrahim Uzmay - One of the best experts on this subject based on the ideXlab platform.

  • experimental investigation of joint clearance effects on the dynamics of a slider Crank Mechanism
    Multibody System Dynamics, 2010
    Co-Authors: Selcuk Erkaya, Ibrahim Uzmay
    Abstract:

    Clearance is inevitable for assembly and mobility in the kinematic joints of Mechanisms. Excessive value of this clearance leads to poor operational characteristics, and these result in losses in kinematic and dynamic performances of Mechanism. In this study, effects of joint clearances on vibration and noise characteristics of Mechanism are investigated. An experimental test rig has been set up, and a planar slider-Crank Mechanism having two joints with clearance has been used as a model Mechanism. Joint clearance is modeled as a massless virtual link and continuous contact mode between journal and bearing in joint connection is considered in theoretical analyses. Three accelerometers and two microphones have been located at different points to measure the vibrations and noises on system during the Mechanism motion. The results obtained for the cases with and without joint clearance are evaluated for vibration and noise characteristics of Mechanism.

  • optimization of transmission angle for slider Crank Mechanism with joint clearances
    Structural and Multidisciplinary Optimization, 2009
    Co-Authors: Selcuk Erkaya, Ibrahim Uzmay
    Abstract:

    In this study, kinematic analysis of a planar slider-Crank Mechanism having revolute joints with clearances was presented. Joint clearance was modelled as a massless virtual link, and Multi-Layered Neural Network (MLNN) structure was used for approximating the motion of this link with respect to the position of input link. Training and testing data sets for the neural network were obtained from Mechanism simulation using the ADAMS software. A genetic algorithm was also used to optimize the design parameters for minimizing the deviations due to clearances. When two joint clearances at Crank-pin and piston-pin centers were considered, the effects of these clearances on the kinematic characteristics and transmission quality of the Mechanism were investigated using continuous contact model between the journal and bearing at a joint.

Morteza Dardel - One of the best experts on this subject based on the ideXlab platform.

  • optimal dynamic design of a planar slider Crank Mechanism with a joint clearance
    Mechanism and Machine Theory, 2015
    Co-Authors: S. M. Varedi, Morteza Dardel, H. M. Daniali, Alireza Fathi
    Abstract:

    Abstract In general, in dynamic analysis of Mechanisms, joints are assumed to be ideal without clearance. However, in reality, clearances in the joints are inevitable due to tolerances, and defects arising from design and manufacturing. When a joint clearance is introduced, the Mechanism gains two uncontrollable degrees of freedom. Therefore, poor dynamic performance, reduction in components life and generation of undesirable vibrations result in the impacts of mating parts in the clearance joint. In this paper, an optimization method is proposed to alleviate the undesirable effects of joint clearance. The main consideration here is to optimize the mass distribution of the links of a Mechanism to reduce or eliminate the impact forces in the clearance joint. An algorithm based on PSO solves this highly nonlinear optimization problem for a slider–Crank Mechanism with a revolute clearance joint between the slider and the connecting rod. Finally, an example is included to demonstrate the efficiency of the algorithm.

  • dynamic synthesis of a planar slider Crank Mechanism with clearances
    Nonlinear Dynamics, 2015
    Co-Authors: S. M. Varedi, H. M. Daniali, Morteza Dardel
    Abstract:

    In practice, clearances in the joints are inevitable due to tolerances, and defects arising from design and manufacturing. It is noteworthy that in the presence of clearance at a joint, a Mechanism gains some additional, uncontrollable degrees of freedom which are the source of error. Moreover, joints undergo wear and backlashes and so cannot be used in precision Mechanisms. In this paper, an optimization method is proposed to alleviate the undesirable effects of joint clearances. The main consideration here is to optimize the mass distribution of links of a Mechanism to reduce or eliminate the impact forces in the clearance joints. An algorithm based on PSO solves this highly nonlinear optimization problem for a slider–Crank Mechanism with revolute clearance joints. Finally, an example is included to demonstrate the efficiency of the algorithm. The results clearly reveal that the linear and angular accelerations of the links and the contact forces in the optimal design are very smooth and bounded.

Selcuk Erkaya - One of the best experts on this subject based on the ideXlab platform.

  • experimental investigation of joint clearance effects on the dynamics of a slider Crank Mechanism
    Multibody System Dynamics, 2010
    Co-Authors: Selcuk Erkaya, Ibrahim Uzmay
    Abstract:

    Clearance is inevitable for assembly and mobility in the kinematic joints of Mechanisms. Excessive value of this clearance leads to poor operational characteristics, and these result in losses in kinematic and dynamic performances of Mechanism. In this study, effects of joint clearances on vibration and noise characteristics of Mechanism are investigated. An experimental test rig has been set up, and a planar slider-Crank Mechanism having two joints with clearance has been used as a model Mechanism. Joint clearance is modeled as a massless virtual link and continuous contact mode between journal and bearing in joint connection is considered in theoretical analyses. Three accelerometers and two microphones have been located at different points to measure the vibrations and noises on system during the Mechanism motion. The results obtained for the cases with and without joint clearance are evaluated for vibration and noise characteristics of Mechanism.

  • optimization of transmission angle for slider Crank Mechanism with joint clearances
    Structural and Multidisciplinary Optimization, 2009
    Co-Authors: Selcuk Erkaya, Ibrahim Uzmay
    Abstract:

    In this study, kinematic analysis of a planar slider-Crank Mechanism having revolute joints with clearances was presented. Joint clearance was modelled as a massless virtual link, and Multi-Layered Neural Network (MLNN) structure was used for approximating the motion of this link with respect to the position of input link. Training and testing data sets for the neural network were obtained from Mechanism simulation using the ADAMS software. A genetic algorithm was also used to optimize the design parameters for minimizing the deviations due to clearances. When two joint clearances at Crank-pin and piston-pin centers were considered, the effects of these clearances on the kinematic characteristics and transmission quality of the Mechanism were investigated using continuous contact model between the journal and bearing at a joint.

S. M. Varedi - One of the best experts on this subject based on the ideXlab platform.

  • optimal dynamic design of a planar slider Crank Mechanism with a joint clearance
    Mechanism and Machine Theory, 2015
    Co-Authors: S. M. Varedi, Morteza Dardel, H. M. Daniali, Alireza Fathi
    Abstract:

    Abstract In general, in dynamic analysis of Mechanisms, joints are assumed to be ideal without clearance. However, in reality, clearances in the joints are inevitable due to tolerances, and defects arising from design and manufacturing. When a joint clearance is introduced, the Mechanism gains two uncontrollable degrees of freedom. Therefore, poor dynamic performance, reduction in components life and generation of undesirable vibrations result in the impacts of mating parts in the clearance joint. In this paper, an optimization method is proposed to alleviate the undesirable effects of joint clearance. The main consideration here is to optimize the mass distribution of the links of a Mechanism to reduce or eliminate the impact forces in the clearance joint. An algorithm based on PSO solves this highly nonlinear optimization problem for a slider–Crank Mechanism with a revolute clearance joint between the slider and the connecting rod. Finally, an example is included to demonstrate the efficiency of the algorithm.

  • dynamic synthesis of a planar slider Crank Mechanism with clearances
    Nonlinear Dynamics, 2015
    Co-Authors: S. M. Varedi, H. M. Daniali, Morteza Dardel
    Abstract:

    In practice, clearances in the joints are inevitable due to tolerances, and defects arising from design and manufacturing. It is noteworthy that in the presence of clearance at a joint, a Mechanism gains some additional, uncontrollable degrees of freedom which are the source of error. Moreover, joints undergo wear and backlashes and so cannot be used in precision Mechanisms. In this paper, an optimization method is proposed to alleviate the undesirable effects of joint clearances. The main consideration here is to optimize the mass distribution of links of a Mechanism to reduce or eliminate the impact forces in the clearance joints. An algorithm based on PSO solves this highly nonlinear optimization problem for a slider–Crank Mechanism with revolute clearance joints. Finally, an example is included to demonstrate the efficiency of the algorithm. The results clearly reveal that the linear and angular accelerations of the links and the contact forces in the optimal design are very smooth and bounded.