Development of output feedback sliding mode control for nonlinear system with disturbance

This paper discusses about the development of output feedback Sliding Mode Control (SMC) and demonstrates that this controller is able to reject disturbance in a nonlinear system.The designed SMC controller works well to ensure system stability and eliminates disturbance in linear and nonlinear dynamics systems. The approach to develop output feedback controller is by implementing High Gain Observer and the output performance from this controller is compared with the output response from the state feedback SMC. Both designed controllers are constructed in simulation by using MATLAB SIMULINK tool. The required gains involve in the designed control laws are tuned heuristically by trial and error approach. The state response results obtained from the simulations are analyzed. Based on the observation and analysis to the results it shows that the output feedback SMC illustrates smooth state response and reduces the effect of disturbance as provided by the state feedback (SMC) without disturbance

Speed and position estimator of for sensorless PMSM drives using adaptive controller

Nowadays, the elimination of the speed sensor in Permanent Magnet Synchronous Machine (PMSM) is greatly recommended to increase efficiency and reduce the cost of the drives. This paper proposes a simple estimator for speed and rotor position of PMSM drives using adaptive controller. The novelties of the proposed method are the simple estimator equations and the absence of the voltage probe which depend on direct and quadrature reference current only. The simplified mathematical model of the PMSM is formulated by using V-I model, based on adaptive control. Then, the speed estimation error of the voltage and current model based are analyzed. Thus, an adaptation mechanism model is established to cancel the error of the measured and estimated d-q currents. Since the output of the estimator is the position feedback, the performances of speed responses are presented. The hardware implementation of proposed sensorless drives is realized via dSPACE DS11103 panel. dSPACE Real Time Implementation (RTI) is the linkage between software and hardware set-up. It automatically processes the MATLAB Simulink model into dSPACE DS11103 processor. The experimental-hardware results demonstrate that the speed and position estimator of the proposed method is able to control the PMSM drives for forward and reverse of speed command, acceleration, deceleration and robustness to load disturbanc

Synchronise Control of Chua Circuits

Chua circuit is a nonlinear circuit that shows complex dynamical behaviour including chaos. In chaos theory, the principle is known as ‘Butterfly Effect’ where a small change in the initial condition will cause large difference in the result.   In this paper, the range of value of a resistor that cause chaotic behaviour is identified. A mathematical modelling is derived from the Chua’s circuit and represented in state-space equation. Then, a state-feedback controller is configured to stabilise and synchronise the slave system for two cases of reference input, that are, constant and chaotic signals. The output results showed the slave system follows the master system’s behaviour with zero synchronisation error.

Development of Output Feedback Sliding Mode Control for Nonlinear System With Disturbance

This paper discusses about the development of output feedback Sliding Mode Control (SMC) and demonstrate that this controller is able to reject disturbance in a nonlinear system. The designed SMC controller works well to ensure system stability and eliminates disturbance in linear and nonlinear dynamics systems. The approach to develop output feedback controller is by implementing High Gain Observer and the output performance from this controller is compared with the output response from the state feedback SMC. Both designed controllers are constructed in simulation by using MATLAB SIMULINK tool. The required gains involve in the designed control laws are tuned heuristically by trial and error approach. The state response results obtained from the simulations are analyzed. Based on the observation and analysis to the results it shows that the output feedback SMC illustrate s smooth state response and reduces the effect of disturbance as provided by the state feedback (SMC) without disturbance