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Access type: UnknownSubject: search.filters.subject.Adaptive control

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    Adaptive cutting force control for CNC milling machine
    (2020-08-31)
    Maneerat, Noppadol
    ;
    Khaengsarigid, Adisak
    ;
    Pasaya, Bundit
    This paper presents the adaptive cutting force control for CNC milling machines. The research scheme divided the mathematical models, consisted of two parts: model of the feed drive system. Then it's designed to the adaptive cutting force controller using Lyapunov's method. The dynamometer is used to sense the cutting force and feedback to the cutting force controller. The output signal of the controller is a feed rate volume of CNC controller to control the feed drive system during a milling process. For experimental, it's defined 3 different depths of cut(DOCs). The experimental results compared to that between the actual cutting force response and the target cutting force. As experiment result, it can control the cutting force smoothly, the tool life increased and acceptable practice.
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    Adaptive Cutting Force Control for CNC Milling Machine
    (2020-01-01)
    Maneerat, Noppadol
    ;
    Khaengsarigid, Adisak
    ;
    Pasaya, Bundit
    This paper presents the adaptive cutting force control for CNC milling machines. The research scheme divided the mathematical models, consisted of two parts: model of the feed drive system. Then it's designed to the adaptive cutting force controller using Lyapunov's method. The dynamometer is used to sense the cutting force and feedback to the cutting force controller. The output signal of the controller is a feed rate volume of CNC controller to control the feed drive system during a milling process. For experimental, it's defined 3 different depths of cut(DOCs). The experimental results compared to that between the actual cutting force response and the target cutting force. As experiment result, it can control the cutting force smoothly, the tool life increased and acceptable practice.
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    Dual-line PID controller based on PSO for speed control of DC motors
    (2009-12-01)
    Payakkawan, Poomyos
    ;
    Klomkarn, Kitdakom
    ;
    Sooraksa, Pitikhate
    This paper proposes an AI-based heuristic optimization techniques based on particle swarm optimization (PSO) to solve two applications i.e. identification of a DC motor and tuning PID controller parameters. The identification of a DC motor application, the 2<sup>nd</sup> order transfer function with time delays is obtained by the searching poles location mechanism based on PSO. This method has following steps. First, time responses of speed are determined by multi-level step input voltages. Second, the noises of time responses are reduced by wavelet soft thresholding. Finally, the noiseless time responses are identified by PSO. The tuning PID controller parameters application, the gains of proportional, integral, and derivative are determined both off-line and on-line tuning. For off-line tuning, the PID gains are optimized by PSO. On-line application, PSO-gains scheduling, adaptively adjusts the controller gains to improve the speed response under changing the speed demand and load. The simulation results show that the PSO can be efficiently used for system identification and tuning parameters of PID controller. ©2009 IEEE.
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    Experimental study on servo adaptive pitch control of a model helicopter
    (2008-12-03)
    Benjanarasuth, Taworn
    This paper presents the application of explicit self-tuning regulators in controlling the pitch angle of a model helicopter. An adjustable controller in the R-S-T canonical structure incorporated with an integrator is selected as a controller while the adaptation scheme is based the on-line identified model obtained from weighted recursive least squares algorithm and pole placement design. The design scheme to incorporate an integrator to the main R-S-T canonical structure controller is presented. This servo action is introduced to the system in order to improve the tracking property when the system suffers form uncertainty or disturbance. The experimental results of the proposed control system are presented. © 2008 SICE.
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    Adaptive controller design for anti-slip system of EV
    (2006-12-01)
    Ratiroch-Anant, Phornsuk
    ;
    Hirata, Hiroshi
    ;
    Anabuki, Masatoshi
    ;
    Ouchi, Shigeto
    The design strategy of adaptive controller for antislip system of EV (electric vehicle) is proposed. The proposed system is constructed by preparing both systems of disturbance observer and parameter estimation. The load variation of the tire slip is observed as the equivalent disturbance of motor system by employing the adaptive disturbance observer, and the vehicle speed is estimated. The tire slip is appropriately controlled by means of the feedback of the speed deviation between wheel speed and estimated vehicle speed. It is proved by the numerical simulations that the proposed methods provide satisfactory performance. Furthermore, the practical DC motor experiment set, which can give various slips, is constructed in order to investigate the effect of proposed anti-slip control system. It is verified that the proposed strategy is useful as one approach of anti-slip control. © 2006 IEEE.