Sliding Mode Control for BLDC Electromechanical Actuator Based on DSP

2013 ◽  
Vol 392 ◽  
pp. 299-305
Author(s):  
Jun Zhou ◽  
Peng Li ◽  
Feng Qi Zhou ◽  
Zhi Gang Gao
Keyword(s):  
Sliding Mode Control ◽  
Digital Signal Processor ◽  
Sliding Mode ◽  
Digital Signal ◽  
Mathematic Model ◽  
Electromechanical Actuator ◽  
Brushless Dc ◽  
Mode Control ◽  
Simulation And Experiment ◽  
Plant Parameter

This paper deals with the design, simulation and implementation of a digital sliding mode controller for brushless DC motor-based electromechanical actuator. Firstly, a mathematic model of the actuator is drawn from its structure. Secondly, sliding mode control algorithm with the approach to weaken chattering is designed for the system, and simulations are carried out under Matlab/Simulink environment. Thirdly, the SMC algorithm is implemented on TMS320F2812 digital signal processor platform along with extensive experiments. Lastly, results of simulation and experiment are compared and discussed, showing that the proposed approach can achieve accurate and fast position tracking in the presence of load disturbance and plant parameter variations.

scholarly journals Study and Application of Intelligent Sliding Mode Control for Voltage Source Inverters

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2544 ◽  
Author(s):  
En-Chih Chang
Keyword(s):  
Steady State ◽  
Sliding Mode Control ◽  
Digital Signal Processor ◽  
Sliding Mode ◽  
Transient Behavior ◽  
Voltage Source ◽  
Accurate Estimation ◽  
Inference System ◽  
Mode Control ◽  
State Error

In this paper, an intelligent sliding mode controlled voltage source inverter (VSI) is developed to achieve not only quick transient behavior, but satisfactory steady-state response. The presented approach combines the respective merits of a nonsingular fast terminal attractor (NFTA) as well as an adaptive neuro-fuzzy inference system (ANFIS). The NFTA allows no singularity and error states to be converged to the equilibrium within a finite time, while conventional sliding mode control (SMC) leads to long-term (infinite) convergent behavior. However, there is the likelihood of chattering or steady-state error occurring in NFTA due to the overestimation or underestimation of system uncertainty bound. The ANFIS with accurate estimation and the ease of implementation is employed in NFTA for suppressing the chatter or steady-state error so as to improve the system’s robustness against uncertain disturbances. Simulation results display that this described approach yields low distorted output wave shapes and quick transience in the presence of capacitor input rectifier loading as well as abrupt connection of linear loads. Experimental results conducted on a 1 kW VSI prototype with control algorithm implementation in Texas Instruments DSP (digital signal processor) support the theoretic analysis and reaffirm the robust performance of the developed VSI. Because the proposed VSI yields remarkable benefits over conventional terminal attractor VSIs on the basis of computational quickness and unsophisticated realization, the presented approach is a noteworthy referral to the designers of correlated VSI applications in future, such as DC (direct current) microgrids and AC (alternating current) microgrids, or even hybrid AC/DC microgrids.

A High-Efficiency Cascade Multilevel Class-D Amplifier

2012 ◽  
Vol 482-484 ◽  
pp. 559-564
Author(s):  
Guo Hua Xu ◽  
Ying Zhang ◽  
Ming Dong ◽  
Lu Wei Xu
Keyword(s):  
Sliding Mode Control ◽  
Power Amplifier ◽  
High Efficiency ◽  
Sliding Mode ◽  
Mathematic Model ◽  
Total System ◽  
Mode Control ◽  
Class D Amplifier ◽  
Class D ◽  
The Individual

A switch-mode power amplifier based on a cascaded multicell multilevel circuit topology is introduced in the paper. Due to the Carrier-Based phase-shifted modulation of the individual switching cells, the output voltage ripple of the total system is considerably small. Compared with traditional class- AB amplifiers that are very poor at efficiency, the proposed amplifier has the efficiency of 90% at the smaller distortion level. A multilevel class-D amplifier’s mathematic model is analyzed. The paper lays emphasis on the design of the sliding mode control and deducts the parameters, and then develops a 2kW cascade multilevel class-D power amplifier adopting sliding mode control. The research results show that this kind of amplifier increases the system bandwidth, which provides the system with fast following performance and stability, high efficiency, and low THD value of output signals.

Application of the Sliding Mode Control Approach Based on Double Power Exponential Reaching Law for the Hydraulic Servo System

2015 ◽  
Vol 741 ◽  
pp. 655-658 ◽  
Author(s):  
Cai Yun Dong ◽  
Hai Jun Wang ◽  
Wen Yong Cui
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Servo System ◽  
Mathematic Model ◽  
Control Approach ◽  
Reaching Law ◽  
Mode Control ◽  
Hydraulic Servo ◽  
Hydraulic Servo System ◽  
Exponential Reaching Law

The sliding mode control approach based on double power exponential reaching law is proposed for the hydraulic servo system. With the example of the hydraulic servo system in the lab, the mathematic model is established and the new controller is presented and simulated. Simulation results show that: the proposed approach has high track precision, fast response, small chattering and ensures dynamic quality of the system.

The Sliding Mode Variable Structure Control Method for Brushless DC Motors

2014 ◽  
Vol 596 ◽  
pp. 584-589
Author(s):  
Xi Jie Yin ◽  
Jian Guo Xu
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Variable Structure ◽  
External Disturbances ◽  
Brushless Dc Motors ◽  
Structure Control ◽  
Brushless Dc ◽  
Mode Control ◽  
Sliding Mode Variable Structure

The sliding mode variable structure control method for brushless DC motors with uncertain external disturbances and unknown loads is studied. A neural sliding mode control scheme is proposed for reducing chattering of sliding mode control. A global sliding mode manifold is designed in this approach, which guarantees that the system states can be on the sliding mode manifold at initial time and the system robustness is increased. A radial basis function neural network (RBFNN) is applied to learn the maximum of unknown loads and external disturbances. Based on the neural networks, the switching control parameters of sliding mode control can be adaptively adjusted with uncertain external disturbances and unknown loads. Therefore, the chattering of the sliding mode controller is reduced. Simulation results proved that this control scheme is valid.

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