Faculty Publications

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    A Modified Reaching Law Based Sliding Mode Controller with an Antidisturbance Approach for Speed Control of PMSM System
    (Institute of Electrical and Electronics Engineers Inc., 2023) Chiliveri, V.R.; Kalpana, R.; Kishan, D.
    This paper develops a robust non-linear control system that employs the sliding mode control (SMC) technique to enhance the speed regulation performance of the permanent-magnet-synchronous-motor (PMSM) in the existence of parameter mismatch and external load disturbances. Initially, the modified reaching law-based SMC (MRL-SMC) method is proposed. This MRL-SMC incorporates an exponential sliding surface function and system tracking error to enable adaptive changes in the reaching law during two distinct SMC phases. As a result, this method mitigates the inherent chattering generated in the control input and accelerates the reaching speed of the system states towards the sliding manifold. Moreover, due to high switching gain requirement to suppress the effect of lumped disturbances give rise to large chattering. Therefore, an antidisturbance approach is proposed in composite to MRL-SMC. This method consists of a finite-time disturbance observer for estimating the lumped disturbance and initiate a feedforward compensation of the estimated disturbance to the MRL-SMC. Additionally, the simulation results demonstrate that the proposed speed control technique is more effective compared to conventional SMC. © 2023 IEEE.
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    Integrated Speed and Current Control with Adaptive Sliding Mode Based Deadbeat Predictive Strategy Considering Uncertainties for In-Wheel PMSMs
    (Institute of Electrical and Electronics Engineers Inc., 2024) Chiliveri, V.R.; Kalpana, R.; Kishan, D.
    In this paper, an adaptive sliding mode control (ASMC) combined with deadbeat predictive current control (DPCC) is developed to enhance current tracking precision and improve speed robustness in in-wheel permanent magnet synchronous motor (PMSM), particularly under uncertainties such as parameter mismatches and external disturbances. These uncertainties are modeled as lumped disturbances within the PMSM drive system. First, the ASMC is developed to enhance speed tracking, while the adaptive reaching law is employed to mitigate chattering and expedite the rise time, ensuring fast convergence to the desired speed. Next, the DPCC is applied to further improve current regulation performance. Additionally, disturbance observer is designed to estimate the lumped disturbances and provide compensation in the speed and current control loop, thereby improving the drive performance robustness. The effectiveness of the proposed ASMC-DPCC method is demonstrated through simulations on in-wheel PMSM motors, showing improved tracking accuracy and disturbance rejection. © 2024 IEEE.