Sensorless nonlinear sliding mode control of the induction machine at very low speed using FM-MRAS observer

<span lang="EN-US">The induction motor is complex because its dynamic is nonlinear, multivariable and highly coupled. In addition, the induction motor (IM) controller design can be degraded due to wide ranges operating speed specially in low and near-zero speeds and also to variation of interval parameters such as the stator resistance change because of stator heating during operation. Our contribution is the use of a nonlinear sliding mode control using a fuzzy mutual reference adaptive system observer based on two fuzzy adaptation mechanisms to estimate both rotor speed and stator resistance. The proposed work was verified and compared by simulation and tested in various ranges of speed with motor and regenerating regions of operation. The results show that the proposed approach has proved good effectiveness in tracking and observation.</span>

Dynamic Modelling and Performance Optimization-Based Sliding Mode Control of Process Drying in a Convective Tunnel Dryer

In this work, we thoroughly investigate the use of sliding mode control for nonlinear systems, specially its application for the control of dryer designed for drying food products. A dynamic model of the drying process has been developed, experimental measurements presented in this paper are established for different values of drying air temperature and drying air velocity. Two scenario of sliding mode control applied to the hybrid tunnel dryer has been assessed through simulations. At first, a nonlinear sliding mode control with first order sliding surface was tested. In front of the insufficient performance of this control in terms of the presence of chattering phenomenon and static error, it was decided to apply a nonlinear sliding mode control with PI sliding surface. Simulation results show that this latter control approach can obtain excellent control performance with no chattering problem, reducing of static error and a good tracking of trajectory.

Dynamic Modelling and Performance Optimization-Based Sliding Mode Control of Process Drying in a Convective Tunnel Dryer

In this work, we thoroughly investigate the use of sliding mode control for nonlinear systems, specially its application for the control of dryer designed for drying food products. A dynamic model of the drying process has been developed, experimental measurements presented in this paper are established for different values of drying air temperature and drying air velocity. Two scenario of sliding mode control applied to the hybrid tunnel dryer has been assessed through simulations. At first, a nonlinear sliding mode control with first order sliding surface was tested. In front of the insufficient performance of this control in terms of the presence of chattering phenomenon and static error, it was decided to apply a nonlinear sliding mode control with PI sliding surface. Simulation results show that this latter control approach can obtain excellent control performance with no chattering problem, reducing of static error and a good tracking of trajectory.

Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives

This paper proposes a novel model-free super-twisting nonlinear sliding mode control (MFSTNLSMC) strategy with an improved smoothing extended state observer (SESO) for permanent magnet synchronous motor (PMSM) drives. First of all, the improved SESO is introduced to estimate the unknown term of the PMSM ultra-local model. Secondly, a novel nonlinear sliding mode surface (NLSMS) is designed, which can effectively overcome the disadvantages of simple and rough signal processing of the conventional linear sliding mode surface. At the same time, a super-twisting (ST) structure is chosen to suppress the chattering phenomenon and improve system robustness. Then, the Lyapunov stability theorem is used to prove the stability of the proposed control algorithm. Finally, both comparative simulations and experimental demonstrations verify the excellent speed tracking performance and robustness of the proposed control strategy.

Sliding mode control design for haptic system with vibration mode

Haptic is cutting edge technology having vast application mobile, home, robotics and tele-operations etc. It has enormous scope for tele-surgery using robotic arm with haptic feedback. It brings various dicsipline such as biomedical, neurological, physics and engineering on a single platform. It have numerious scope for all field.For this, haptic robotic arm should able to emulate the desired trajectory with minimum disturbances. In the real time, a robotic haptic arm have various uncertainty, vibrations and other unmodelled parameters which impact the output adversely. In this paper, a haptic device has been modelled in presence of internal vibration mode. A robust nonlinear sliding mode control (SMC) has been proposed in this paper. The efficacy of designed controller has been verified using simulation experiment. It has been observed that using the proposed method system follows desired trajectory accurately.