Nonlinear Control of Linear Induction Motors Using Exact Linearization

Nonlinear Control Design for Linear Inverted Pendulum System using Exact Feedback Linearization

Exact feedback linearization converts any system into appropriate form such that the controller design becomes convenient for the system. In this technique, control algorithm is developed based on exact feedback linearization through energy control. This approach is applicable to under actuated in which single control input, acceleration of cart, controlled the angle and position of cart. This ...

non-linear control distillation column using approximate feedback linearization

Cascaded Nonlinear Receding-horizon Control of Induction Motors

In this paper the optimal nonlinear receding-horizon control structure is presented with application to induction motors in cascade structure, which provides global asymptotic tracking of smooth speed and flux trajectories. The controller is based on a finite horizon continuous time minimization of nonlinear tracking errors. Both the rotor flux and load torque are estimated by Kalman filter. Th...

Nonlinear control of a planar multiaxis servohydraulic test facility using exact linearization techniques

This paper presents a nonlinear control concept of a planar multi-axis servohydraulic test facility. Based on nonlinear model equations including servohydraulic actuator dynamics and test table and payload mechanics a global nonlinear diffeomorphism is derived which maps the model equations into nonlinear canonical form. A nonlinear control law is derived using exact linearization techniques. T...

An indirect adaptive neuro-fuzzy speed control of induction motors

This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. The contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...