scholarly journals Application of homogeneous observers with variable exponent to a mechatronic system

2019 ◽  
Vol 233 (18) ◽  
pp. 6491-6502 ◽  
Author(s):  
Syrine Derbel ◽  
Nabih Feki ◽  
Florentina Nicolau ◽  
Jean Pierre Barbot ◽  
Mohamed Slim Abbes ◽  
...  
Keyword(s):  
Mechanical Model ◽  
Sliding Mode ◽  
Asynchronous Motor ◽  
Dynamical Behavior ◽  
Electrical Model ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
System States ◽  
Sliding Mode Observers ◽  
Mechanical Dynamics

Monitoring of mechatronic systems is one of the essential issues in the industries. In this context, we firstly deal with the modeling of an electro-mechanical system obtained by assembling a mechanical model, which is a single stage of a gear element and an electrical model that is an asynchronous motor. Secondly, we use homogeneous sliding mode observers in order to supervise the gear dynamical behavior. The observers' parameters are suitably chosen to ensure rapid and accurate convergence between the real and the estimated system states. Finally, a comparative study between three simulations is presented in order to illustrate the observers performances and the influence of the mechanical dynamics on the electrical states.

Expert Formation of Functional Parameters Composition in Digital Mechatronic Systems

2019 ◽  
Vol 20 (2) ◽  
pp. 97-105
Author(s):  
A. V. Gulay ◽  
V. M. Zaitsev
Keyword(s):  
Empirical Studies ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Internal System ◽  
System Solution ◽  
System Functioning ◽  
Control Procedures ◽  
System States ◽  
Methodological Aspects ◽  
Effective Output

In the process of the mechatronic system functioning respective effective output parameters and parameters of its internal system state are generated. Preliminary selection of composition of the indicated parameters is a rather complicated task due to objective complexity of systems, availability of evident and latent interrelations between parameters. This task is complicated due to the necessity of simultaneous reduction of dimension and variation of control procedures and management in the mechatronic system. Solution of this problem may be attained with the aid of preliminary expert and empirical studies of complex models and mock-up specimens of designed mechatronic systems. In this regard, this work contains presentation of methodological aspects of adequately supported formation of composition of controlled parameters, their tolerance limits and other system features required for intellectual management. Rational sequence is described for performance of focused researches in order to reveal most important effective output parameters and parameters of internal system states. In accordance with the proposed algorithm the initial information and parameter picture of the intelligent mechatronic system is formed, studied and revised, its group expert evaluation and subsequent "thinning-out" of lists of its constituent parameters. A regression model is developed, which determines the form of interrelation between the parameters, as well as of the correlation model, which allows assessment of the volume of statistical interrelation between the system parameters. In the process of model analysis extremely weak dependences are detected between parameters, negative collinearity of factor variables is eliminated.

scholarly journals Sliding Mode Observers Based-Simultaneous Actuator and Sensor Faults Estimation for Linear Parameter Varying Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Ali Ben Brahim ◽  
Slim Dhahri ◽  
Fayçal Ben Hmida ◽  
Anis Sallami
Keyword(s):  
Sliding Mode ◽  
Estimation Error ◽  
Sufficient Conditions ◽  
Linear Matrix ◽  
Sensor Faults ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Parameter Varying ◽  
System States ◽  
Sliding Mode Observers

This paper proposes a scheme to estimate actuator and sensor faults simultaneously for a class of linear parameter varying system expressed in polytopic structure where its parameters evolve in the hypercube domain. Transformed coordinate system design is adopted to decouple faults in actuators and sensors during the course of the system’s operation coincidentally, and then two polytopic subsystems are constructed. The first subsystem includes the effect of actuator faults but is free from sensor faults and the second one is affected only by sensor faults. The main contribution is to conceive two polytopic sliding mode observers in order to estimate the system states and actuator and sensor faults at the same time. Meanwhile, in linear matrix inequality optimization formalism, sufficient conditions are derived withH∞performances to guarantee the stability of estimation error and to minimize the effect of disturbances. Therefore, all parameters of observers can be designed by solving these conditions. Finally, simulation results are given to illustrate the effectiveness of the proposed simultaneous actuator and sensor faults estimation.

scholarly journals Enhanced Discrete-Time Sliding Mode Filter for Removing Noise

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Shanhai Jin ◽  
Xiaodan Wang ◽  
Yonggao Jin ◽  
Xiaogang Xiong
Keyword(s):  
Discrete Time ◽  
Finite Time ◽  
Position Control ◽  
Sliding Mode ◽  
The State ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Numerical Example ◽  
Backward Euler ◽  
Euler Discretization

This paper presents a new discrete-time sliding mode filter for effectively removing noise in control of mechatronic systems. The presented filter is an enhanced version of a sliding mode filter by employing an adaptive gain in determining a virtual desired velocity of the output. Owing to the use of backward Euler discretization, the discrete-time implementation of the filter does not produce chattering, which has been considered as a common problem of sliding mode techniques. Besides that, the state of the filter converges to the desired state in finite time. Numerical example and experimental position control of a mechatronic system are conducted for validating the effectiveness of the filter.

scholarly journals Improved Modeling of a Multi-Level Inverter for TACS to Reduce Computational Time and Improve Accuracy

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 849
Author(s):  
Sung-An Kim
Keyword(s):  
Mechanical Model ◽  
Simulation Software ◽  
Computational Time ◽  
Electrical Model ◽  
Conventional Model ◽  
Switching Operation ◽  
Air Compressor ◽  
Power Semiconductors ◽  
Proposed Model ◽  
Multi Level

A modeling of a turbo air compressor system (TACS), with a multi-level inverter for driving variable speed, combining an electrical model of an electric motor drive system (EMDS) and a mechanical model of a turbo air compressor, is essential to accurately analyze dynamics characteristics. Compared to the mechanical model, the electrical model has a short sampling time due to the high frequency switching operation of the numerous power semiconductors inside the multi-level inverter. This causes the problem of increased computational time for dynamic characteristics analysis of TACS. To solve this problem, the conventional model of the multi-level inverter has been proposed to simplify the switching operation of the power semiconductors, however it has low accuracy because it does not consider pulse width modulation (PWM) operation. Therefore, this paper proposes an improved modeling of the multi-level inverter for TACS to reduce computational time and improve the accuracy of electrical and mechanical responses. In order to verify the reduced computational time of the proposed model, the conventional model using the simplified model is compared and analyzed using an electronic circuit simulation software PSIM. Then, the improved accuracy of the proposed model is verified by comparison with the experimental results.

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