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    Item type:Publication,
    Fixed-Time Control of the Lifting Axis of a CNC Machine Using a Permanent Magnet Synchronous Motor and a Fixed-Time Nonlinear Observer
    (2026-07-01)
    Cholahan, Varin
    ;
    Tangsrirat, Worapong
    ;
    Pukkalanun, Tattaya
    This paper introduces an adaptive fixed-time position controller (AFxTPC) designed for the lifting axis servo mechanism of a computer numerical control (CNC) plasma machine. It integrates a permanent magnet synchronous motor, gearbox, and ball screw into a unified electromechanical model. The proposed AFxTPC combines a fixed-time terminal sliding surface function with adaptive fixed-time sliding mode control to achieve fixed-time convergence, precise tracking, and robustness in the presence of parameter uncertainties. A specially designed reaching law guarantees accurate trajectory tracking, while the fixed-time terminal sliding surface function effectively minimizes chattering near the sliding manifold. Importantly, a novel fixed-time nonlinear disturbance observer is developed to simultaneously estimate the unmeasured system states and lumped disturbances in real time within a guaranteed initial-state-independent settling time. These estimated values are explicitly fed back into controller for active disturbance compensation. The stability of the overall closed-loop system is rigorously established using Lyapunov stability theory. Simulation results demonstrate that the proposed observer-based controller achieves superior performance compared with conventional proportional–integral–derivative (PID) and standard sliding mode controllers. It exhibits zero steady-state error, reduced overshoot, minimal chattering, and strong robustness over a wide range of operating conditions.
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    Observer-less Fixed-Time Speed Control For Permanent Magnet Synchronous Motors with matched-mismatched disturbances
    (2025-01-01)
    Cholahan, Varin
    ;
    Wongvanich, Napasool
    ;
    Tangsrirat, Worapong
    This paper presents a state-dependent Variable Exponent Coefficient Sliding Mode Control (VECFSMC) By inducing fixed-time stability analysis, the proposed state-dependent sliding surface provides not only system stability but also a quick response in a fixed period of time as well as counteract with matched and mismatched disturbances. The proposed sliding mode control strategy does not use observers to estimate the disturbances. The designed sliding mode surface possesses robustness properties which is sufficient to cope with both matched and mismatch disturbances in a period of fixed time. Firstly, the mathematical model of permanent magnet synchronous motor and the mathematical background of variable exponent coefficient are demonstrated theoretically. Secondly, the state-dependent sliding surface with variable exponent coefficient is designed. The controller that can manipulate both the speed of PMSM and matched-mismatched disturbances is constructed. Lyapunov function is applied to assess the stability of the proposed method. Finally, a numerical simulation with PMSM drive shows fast convergence, good robustness against both matched and mismatched disturbances. The proposed fixed-time controller with this observer-less method offers high efficiency and offers not too complicated control solution comparing to the other fixed-time and finite-time methods with a small number of parameters.
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    Item type:Publication,
    Robust Fixed-Time Speed Control of Electric Vehicles With Mechanical Transmission and Permanent Magnet Synchronous Motor Under System Uncertainties and Perturbations
    (2025-01-01)
    Cholahan, Varin
    ;
    Tangsrirat, Worapong
    Electric vehicles (EVs) are increasingly significant in modern transportation. This work presents the design of a robust fixed-time controller aimed at enhancing the efficiency of speed control in EVs, despite uncertainties and disturbances from the mechanical transmission system. The dynamic model of the transmission system includes a planetary gear and a differential gear, both of which are connected to a permanent magnet synchronous motor, a widely recognized popular power source for EVs. The model uncertainties and perturbations in the model are analyzed and integrated into the dynamic model to ensure high tracking accuracy. The fixed-time control laws are initiated to regulate machine speeds. To achieve accuracy in closed-loop stability, a disturbance observer is employed to estimate the total uncertainty and provide the lumped approximation as a control signal. The model integrating mechanical transmission with the electrical power source is formulated within a nonlinear control framework. The Lyapunov method is utilized to demonstrate the system’s stability. To ensure the design model fulfills the specified performance standards, numerical simulations are conducted to evaluate the transient responses of the dynamic system.
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    Item type:Publication,
    Robust Constant Exponent Coefficient Fixed-Time Control Based on Finite-Time Extended Sliding Mode Observer of Permanent Magnet Synchronous Motors
    (2023-11-01)
    Cholahan, Varin
    ;
    Wongvanich, Napasool
    ;
    Tangsrirat, Worapong
    This paper presents the Robust Constant Exponent Coefficient Fixed-Time Control (CECFSMC), an innovative control technique for precisely regulating the speed of a permanent magnet synchronous motor (PMSM) by utilizing fixed-time stability with constant exponent coefficients to provide not only faster convergence but also in a specific period of time. The effect of chattering is also lessened. To ensure that the designed controller produces the desired performance under bounded disturbances, a finite-time extended sliding-mode observer (ESMO) is also designed to estimate the PMSM velocity while also estimating lumped load disturbances. The considered PMSM is the surface-mounted PMSM. Finally, a numerical simulation with PMSM drive shows good robustness against load disturbances, better convergence, and a reaching time of less than 2 s, thereby demonstrating that the proposed fixed-time constant exponent coefficient offers good performance and is much simpler than the conventional finite-time method.