SUBOPTIMAL NONLINEAR CONTROL OF PACKAGING MACHINERY DRIVE

Computational Efficiency of Suboptimal Nonlinear Predictive Control with Neural Models

This paper studies computational efficiency of suboptimal Model Predictive Control (MPC) with neural models. The algorithm requires solving on-line only a quadratic optimisation problem. Considering a nonlinear polymerisation process, for which the linear MPC algorithm is inadequate, it is shown that the suboptimal algorithm results in closedloop control performance similar to that obtained in ...

Streamlining the Design of Packaging Machinery

Central suboptimal H∞ control design for nonlinear polynomial systems

This paper presents the central finite-dimensional H∞ regulator for nonlinear polynomial systems, that is suboptimal for a given threshold γ with respect to a modified BolzaMeyer quadratic criterion including the attenuation control term with the opposite sign. In contrast to the previously obtained results, the paper reduces the original H∞ control problem to the corresponding optimal H2 contr...

Nonlinear Model Predictive Control for Induction Motor Drive

One of the most important development in control area for induction motor has been field oriented control (FOC) established firstly by (Blaschke, 1972). However, the performance of this technique is affected by the motor parameter variations and unknown external disturbances. To improve the dynamic response and reduce the complexity of FOC methods, an extension amount of work has been done to f...

Nonlinear Path Control for a Differential Drive Mobile Robot

A nonlinear feedback path controller for a differential drive mobile robot is presented in this paper. First, a kinematic model in error coordinates expressed in a moving reference frame partially linked to the robot is developed. The control law is designed using backstepping method yielding exponential stability of the closed-loop system. Stability analysis is performed via Lyapunov stability...