Speed control of electrical vehicles: a time-varying proportional–integral controller-based type-2 fuzzy logic

2016 ◽  
Vol 10 (3) ◽  
pp. 185-192 ◽  
Author(s):  
Mohammad Hassan Khooban ◽  
Taher Niknam ◽  
Mokhtar Sha-Sadeghi
2019 ◽  
Vol 52 (7-8) ◽  
pp. 1137-1144 ◽  
Author(s):  
Ali Uysal ◽  
Serdar Gokay ◽  
Emel Soylu ◽  
Tuncay Soylu ◽  
Serkan Çaşka

In this study, the auto-tuning proportional-integral controller is used to control the speed of a switched reluctance motor. The control algorithm is executed by the programmable logic controller. The proportional integral gains are determined via fuzzy logic. Fuzzy logic is executed on a separate computer via MATLAB/Simulink software. The data exchange between the programmable logic controller and MATLAB/Simulink is done with object linking embedding/component for the process. The fuzzy proportional integral control algorithm is compared with the conventional proportional integral controller. We reduced the load on the programmable logic controller via executing fuzzy logic in a separate computer and at the same time eliminated the disadvantages of the conventional proportional-integral controller. With the proposed method, the engine reached the reference speed value in a short time and the overshoots were eliminated in variable conditions such as different load and different speed conditions.


2016 ◽  
Vol 40 (6) ◽  
pp. 528-539 ◽  
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly

Pitch angle control is considered as a practical technique for power regulation above the rated wind speed. As conventional pitch control commonly the proportional–integral controller is used. However, the proportional–integral type may well not have suitable performance if the controlled system contains nonlinearities as the wind turbine system or the desired wind trajectory varied with higher frequency. In the presence of modeling uncertainties, the necessity of methods presenting controllers with appropriate performance as the advanced control strategies is inevitable. The pitch angle based on fuzzy logic is proposed in this work. We are interested to the development of a wind energy conversion system based on permanent magnet synchronous generator. The fuzzy logic controller is effective to compensate the nonlinear characteristics of the pitch angle to the wind speed. The design of the proposed strategy and its comparison with a conventional proportional–integral controller are carried out. The proposed method effectiveness is verified using MATLAB simulation results.


This work examines the intrigues associated with the speed control of DC motor by nonlinear joint control of the voltage of the armature cum the field current in conjunction with the proportional integral controller. In the case of controlling the armature, the field current component is kept constant while the armature in contained with variable voltage. However, in the case of controlling the field, the voltage of the armature is kept constant while the field contends with a variable voltage. Both the field and the control of armature were used to acquire a DC motor speed control enhancement which offers a stability of the system. The proportional integral (PI) is for the purpose of extension for identification of better alternative. As consideration is given to the electrical, electromagnetic and the motional or mechanical arrangements, a model is developed for the separately excited DC motor (SEDM) which is mathematically analyzed. The originating models of the DC motor speed control schemes are simulated with the help of MATLAB/Simulink. The results obtained herein would be very useful for the control and process engineering oufits


Author(s):  
Dr. KamalaMoorthy N, Et. al.

This paper proposed a blend of corresponding PIC and FLC for controlling the pitch angle of wind turbine connected to grid. Initially, conventional control methodology is employed to design the PI controller and later on, the concept of fuzzy logic methodology is adapted to analyze the gains of proportional integral controller. Due to versatility of fuzzy logic controller and rugged structure, sturdy nature of proportional integral controller are clubbed together, it provides a virtuous stagnant and dynamic outcomes. The proposed novel technique can be assessed by considering various disturbances such as short circuit network fault. The reenactment after effects of proposed controller is contrasted with proportional integral controller and FLC. From the findings it is shown that the proposed methodology could improve stability even the wind farm is subjected to different operating conditions. Moreover, a performance index in terms of absolute maximum deviations is defined in order to evaluate the adequacy of the proposed controller.


Author(s):  
Viyils Sangregorio-Soto ◽  
Claudia L. Garzon-Castro ◽  
Gianfranco Mazzanti ◽  
Manuel Figueredo ◽  
John A. Cortes-Romero

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