scholarly journals Speed Control of Induction Motor Using New Sliding Mode Control Technique

2010 ◽  
Vol 6 (2) ◽  
pp. 111-115
Author(s):  
Aamir Ahmed ◽  
Martino Ajangnay ◽  
Shamboul Mohamed ◽  
Matthew Dunnigan
Keyword(s):  
Sliding Mode Control ◽  
Induction Motor ◽  
High Performance ◽  
Sliding Mode ◽  
Control Technique ◽  
Mode Control ◽  
Speed Controller ◽  
Dc Motors ◽  
Long Time ◽  
Plant Parameter

Induction Motors have been used as the workhorse in the industry for a long time due to its easy build, high robustness, and generally satisfactory efficiency. However, they are significantly more difficult to control than DC motors. One of the problems which might cause unsuccessful attempts for designing a proper controller would be the time varying nature of parameters and variables which might be changed while working with the motion systems. One of the best suggested solutions to solve this problem would be the use of Sliding Mode Control (SMC). This paper presents the design of a new controller for a vector control induction motor drive that employs an outer loop speed controller using SMC. Several tests were performed to evaluate the performance of the new controller method, and two other sliding mode controller techniques. From the comparative simulation results, one can conclude that the new controller law provides high performance dynamic characteristics and is robust with regard to plant parameter variations.

scholarly journals Simulation to Implementation as Good Practices for Teaching Power Electronics to Undergraduate Students: Fuzzy Sliding Mode Control for DC Motors

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Paul Cepeda ◽  
Pedro Ponce ◽  
Arturo Molina
Keyword(s):  
Sliding Mode Control ◽  
Power Electronics ◽  
Undergraduate Students ◽  
Sliding Mode ◽  
Mode Control ◽  
Speed Controller ◽  
Dc Motors ◽  
Fuzzy Sliding Mode ◽  
Nonlinear Technique ◽  
Inference Systems

How can students be given experience in the confused realities of engineering processes? How can undergraduate students be convinced that processes can be analyzed and improved? Computer simulations properly designed and applied could answer these challenges revolutionizing education in Power Electronics. In recent years, computer simulation has been commonly used in education to motivate students in their learning and help teachers to improve their teaching level. The present paper focuses on developing a speed controller for DC motors starting from theoretical aspects, passing through simulations, and finally reaching a control prototype. The control theory is based on a nonlinear technique known as Sliding Mode Control (SMC) involving artificial intelligence for optimization such as Fuzzy Logic (FL), Adaptive Neurofuzzy Inference Systems (ANFIS), and Genetic Algorithms (GAs).

scholarly journals Basic Tutorial on Sliding Mode Control in Speed Control of DC-motor

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Hari Maghfiroh ◽  
Augustinus Sujono ◽  
Musyaffa' Ahmad ◽  
Chico Hermanu Brillianto Apribowo
Keyword(s):  
Sliding Mode Control ◽  
High Performance ◽  
Sliding Mode ◽  
Speed Control ◽  
Dc Motor ◽  
Step Response ◽  
Signal Tracking ◽  
Mode Control ◽  
Dc Motors ◽  
Overshoot And Undershoot

<p class="Abstract"><em>One technology to support production speed is electric motors with high performance, efficiency, dynamic speed and good speed responses. DC motors are one type of electric motor which is used in the industry. Sliding Mode Control (SMC) is the robust non-linear control. The basic theory regarding SMC is presented. The SMC design which is implemented is the speed control of the DC motor is analyzed. The controller is implemented in simulation using MATLAB / Simulink environment. The step response and signal tracking test unit are carried out. The results show that SMC has a better performance compare to PID which is faster settling time and no overshoot and undershoot. </em></p><p class="Abstract"> </p>

Speed Control of Induction Motor Using New Sliding Mode Control Technique

2010 ◽  
Vol 6 (2) ◽  
pp. 111-115 ◽  
Author(s):  
Aamir Hashim Obeid Ahmed ◽  
Martino O. Ajangnay ◽  
Shamboul A. Mohamed ◽  
Matthew W. Dunnigan
Keyword(s):  
Sliding Mode Control ◽  
Induction Motor ◽  
Sliding Mode ◽  
Speed Control ◽  
Control Technique ◽  
Mode Control

High-Performance Position Control of Induction Motor Using Discrete-Time Sliding-Mode Control

2008 ◽  
Vol 55 (11) ◽  
pp. 3809-3817 ◽  
Author(s):  
Boban Veselic ◽  
Branislava Perunicic-Drazenovic ◽  
Cedomir Milosavljevic
Keyword(s):  
Sliding Mode Control ◽  
Induction Motor ◽  
Discrete Time ◽  
High Performance ◽  
Position Control ◽  
Sliding Mode ◽  
Mode Control

Type-1 and Type-2 Fuzzy Logic and Sliding-Mode Based Speed Control of Direct Torque and Flux Control Induction Motor Drives – A Comparative Study

2013 ◽  
Vol 14 (5) ◽  
pp. 385-400 ◽  
Author(s):  
Tejavathu Ramesh ◽  
A. K. Panda ◽  
S. Shiva Kumar
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
High Performance ◽  
Sliding Mode ◽  
Speed Control ◽  
Control Technique ◽  
Flux Control ◽  
Speed Controller

Abstract In this research study, the performance of direct torque and flux control induction motor drive (IMD) is presented using five different speed control techniques. The performance of IMD mainly depends on the design of speed controller. The PI speed controller requires precise mathematical model, continuous and appropriate gain values. Therefore, adaptive control based speed controller is desirable to achieve high-performance drive. The sliding-mode speed controller (SMSC) is developed to achieve continuous control of motor speed and torque. Furthermore, the type-1 fuzzy logic speed controller (T1FLSC), type-1 fuzzy SMSC and a new type-2 fuzzy logic speed controller are designed to obtain high performance, dynamic tracking behaviour, speed accuracy and also robustness to parameter variations. The performance of each control technique has been tested for its robustness to parameter uncertainties and load disturbances. The detailed comparison of different control schemes are carried out in a MATALB/Simulink environment at different speed operating conditions, such as, forward and reversal motoring under no-load, load and sudden change in speed.

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