scholarly journals Control Robusto Adaptable para Sistema no inercial: Acrobot sobre un carro

2019 ◽  
pp. 8-15
Author(s):  
Laura Elena Trejo-Sosa ◽  
Hussain Alazki

This work shows the mathematical modeling of the non-linear system of an Acrobot on a car, which consist in a planar rotational mechanism with two joints of revolute, with an actuator in the elbow, but without actuator in the shoulder through the classical Euler-Lagrange method. In addition, a robust control strategies is proposed to achieve the attitude stabilization of the inverted position of Acrobot on a car in a non-inertial physical framework, these include reactions forces and relative motions which can potentially alter the performance of the system. The algorithm proposed is the Adaptive Sliding Modes Control (ASMC), which alters the dynamic of a non-linear system applying a discontinuous control signal that forces the system to “slide” until reaching the desired stability point, whose the main advantage is reject modeling uncertainties and non-linear effects , which result from the accelerated framework of reference to which Acrobot on a car. Implementing a scheme by numerical simulations in the platform Simulink.

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Akshaykumar Naregalkar ◽  
Subbulekshmi Durairaj

Abstract A continuous stirred tank reactor (CSTR) servo and the regulatory control problem are challenging because of their highly non-linear nature, frequent changes in operating points, and frequent disturbances. System identification is one of the important steps in the CSTR model-based control design. In earlier work, a non-linear system model comprises a linear subsystem followed by static nonlinearities and represented with Laguerre filters followed by the LSSVM (least squares support vector machines). This model structure solves linear dynamics first and then associated nonlinearities. Unlike earlier works, the proposed LSSVM-L (least squares support vector machines and Laguerre filters) Hammerstein model structure solves the nonlinearities associated with the non-linear system first and then linear dynamics. Thus, the proposed Hammerstein’s model structure deals with the nonlinearities before affecting the entire system, decreasing the model complexity and providing a simple model structure. This new Hammerstein model is stable, precise, and simple to implement and provides the CSTR model with a good model fit%. Simulation studies illustrate the benefit and effectiveness of the proposed LSSVM-L Hammerstein model and its efficacy as a non-linear model predictive controller for the servo and regulatory control problem.


1990 ◽  
Vol 2 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Ph. B�nilan ◽  
D. Blanchard ◽  
H. Ghidouche

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