Level

Date

 Not chosen  

 1.10.2009 

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.

 Not chosen  

 1.10.2009 

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. A sliding mode controller incorporating fuzzy control helps in achieving reduced chattering, simple rule base, and robustness against load disturbance and nonlinearities. The simulation of nonlinear model SRM using the proposed technique is carried out and the results are compared with those obtained using the conventional PI controller. Also, the experimental setup is verified, which consists of building IGBT inverter H-bridge and associative drive gate with its control circuit and interfacing between control algorithm and experimental hardware. Both simulation and experimental results with the proposed algorithm show that, the system performance is improved significantly in the presence of load disturbance and is insensitive to some parameters variations of the system. Also, the variable structure technique is used to improve the stability requirements of the dynamic system when all the Lyapunov stability condition are realized.

 Not chosen  

 1.10.2009 

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. Given method is demonstrated using a structural system model example, which includes the actuator and sensor fault vectors, respectively.

 Not chosen  

 1.10.2009 

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.

 Not chosen  

 1.10.2009 

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.

 Not chosen  

 1.10.2009 

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 association with static converters. All mechanical transmission devices are eliminated and vehicle wheel motion can be controlled by means of power electronics. The proposed propulsion system consists of two induction motors (IM) that ensure the drive of the two back driving wheels. The proposed control structure-called independent machines- for speed control permit the achievement of an electronic differential. The electronic differential system ensures the robust control of the vehicle behavior on the road. It also allows controlling, independently, every driving wheel to turn at different speeds in any curve. This paper presents the study and the design of the Backstepping control strategy of the electric vehicle driving wheel. Our electric vehicle feed-Back control’s simulated in MATLAB SIMULINK environment, the results obtained present the efficiency of the proposed control with no overshoot, the rising time is perfected with good disturbances rejections comparing with the classical control law.