scholarly journals Design of Sliding Mode Observer Based Controller of Single-Phase Induction Motor

2020 ◽  
Vol 06 (09) ◽  
pp. 119-124
Author(s):  
P. D.V. Seshasai Ch. V. N. Raja and G. Anand
Keyword(s):  
Robust Control ◽  
Induction Motor ◽  
Single Phase ◽  
Sliding Mode ◽  
Higher Order ◽  
Control Effort ◽  
Control Techniques ◽  
Parameter Variations ◽  
Twisting Algorithm ◽  
Plant Parameter

Single-phase induction motors are simple in construction, cheap in cost, reliable and easy to repair and maintain. Many controllers were designed to control the speed of a single-phase induction motor, but they are sensitive to plant parameter variations and disturbances. Speed control with very less transient response requires non-linear and robust control methods. Sliding mode control is one of the robust control techniques which is insensitive to disturbances. Here we propose a higher order sliding mode (SM) observer-based controller for a single-phase induction motor. The applied control depends on the dynamic model of the induction motor. The controller is structured by applying a blend of input linearization strategy and higher order sliding mode calculation with consistent estimation of rotor speed and stator currents, which limits the vulnerabilities continuously and lessen the chattering phenomenon in the control effort exertion utilizing a super twisting algorithm.

Experimental Analysis of Higher-Order Sliding Mode Control Applied to Dynamic Positioning Systems

2013 ◽  
Author(s):  
Tadeu F. de Sousa ◽  
Eduardo A. Tannuri
Keyword(s):  
Robust Control ◽  
Sliding Mode Control ◽  
Real Time ◽  
Sliding Mode ◽  
Higher Order ◽  
Scale Model ◽  
Dynamic Positioning ◽  
Control Techniques ◽  
Mode Control ◽  
Position Signal

The control algorithm normally used in Dynamic Positioning (DP) Systems is based on linear control theory (proportional-derivative or linear quadratic MIMO controller), coupled to an Extended Kalman Filter (EKF) to estimate the environmental forces and wave filtering. Such controllers and estimators have problems of performance and stability related to large variations of loading (for tankers for example) or environmental conditions. The adjustment of controller gains and parameters of EKF is a complex process. Therefore, other techniques are being applied. An investigation into the area of control of mechanical systems was made, carrying out theoretical and experimental studies involving nonlinear robust control techniques applied to dynamic positioning of floating vessels. Two robust control techniques were applied and compared: first order sliding mode control (SMC) and higher order sliding mode control (HOSM). It is known that the main drawback of SMC is the presence of high-frequency oscillations called chattering. This undesirable effect can be eliminated by using HOSM. In order to ascertain the performance of the controller under the DP system, time-domain simulations were done. Furthermore, the technique of sliding mode requires higher order derivatives of the vessel’s position signal. Therefore was developed an exact real-time differentiator, a mathematical technique used to obtain the signal derived from the position signal in real time. To validate the simulated controller, experimental tests were performed considering a small-scale model of a DP tanker. The results confirmed the robustness of the HOSM controller, the good performance of the differentiator and the elimination of the chattering problem.

scholarly journals Combination of Two Nonlinear Techniques Applied to a 3-DOF Helicopter

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
P. Ahmadi ◽  
M. Golestani ◽  
S. Nasrollahi ◽  
A. R. Vali
Keyword(s):  
Convergence Rate ◽  
Feedback Linearization ◽  
Sliding Mode ◽  
Control Law ◽  
Sliding Mode Controller ◽  
Control Methods ◽  
Control Effort ◽  
Control Techniques ◽  
Control Scheme ◽  
Feedback Linearization Control

A combination of two nonlinear control techniques, fractional order sliding mode and feedback linearization control methods, is applied to 3-DOF helicopter model. Increasing of the convergence rate is obtained by using proposed controller without increasing control effort. Because the proposed control law is robust against disturbance, so we only use the upper bound information of disturbance and estimation or measurement of the disturbance is not required. The performance of the proposed control scheme is compared with integer order sliding mode controller and results are justified by the simulation.

Sign in / Sign up

Export Citation Format

Share Document