Volume 08

The article deals with a new 2DOF PI and PID controllers tuning method for integrating plants. The described approach is derived from the multiple dominant pole method and it enables the achievement of aperiodic servo and regulatory step responses without the overshoots.

This paper presents a fuzzy logic controller (FLC) based on variable structure control (VSC) with sliding mode concept is used to control the speed of switched reluctance motor (SRM) drives. Since, the VSC has several attractive advantages such as high speed response, good transient performance, insensitivity to variation system parameters and external disturbances, simplicity of realization and robustness in nonlinear systems control.

The linear matrix inequality (LMI) based residual generator design approach is presented in this paper. Design conditions are expressed in the terms of LMIs with the matrix rank constraints, implying from Lyapunov equation, which correspond to a feasible solution. Obtained formulation is the convex LMI problem for the full order residual generator design. This handles the optimized structure of the residual generator for the discrete-time linear systems.

Although the Laplace and Z transforms of nonlinear differential and respectively difference equations are not defined a transfer function formalism for nonlinear continuous-, discrete-time and time-delay
systems was developed recently. Such a formalism shows many properties we expect from transfer functions and in this paper we provide its overview and discuss some basic properties.

This paper deals with comparing of selected structures of neural controllers for nonlinear systems control. Following control structures with neural models have been selected: Robust direct inverse
control, Internal model control and Predictive control. For the purpose of neural control structures a direct and inverse neural model of a nonlinear dynamic system using three-layer perceptron network
was created. The performance tests for particular controllers were realized in the simulation environment Matlab/Simulink using selected types of nonlinear dynamic processes.

Nowadays the uses of electrical power resources are integrated in the modern vehicle motion traction chain so new technologies allow the development of electric vehicles (EV) by means of electric motors