Design of the self-adaptive sliding mode position controller based on genetic algorithm optimization for the servo motor drive system

Author(s):  
Leiming Jiao ◽  
Yanhong Luo ◽  
Pengqiao Zhang ◽  
Linlin Li ◽  
Xiangtian Zheng ◽  
...  
2017 ◽  
Vol 27 (11) ◽  
pp. 1750173
Author(s):  
Fadhil Rahma Tahir ◽  
Khalid M. Abdul-Hassan ◽  
Mohammed Abbas Abdullah ◽  
Viet-Thanh Pham ◽  
Thang Manh Hoang ◽  
...  

In this paper, the nonlinear dynamics of permanent magnet (PM) DC motor drive with proportional (P) controller have been investigated. The drive system shows different dynamical behaviors; periodic, quasi-periodic, and chaotic behaviors, and those are characterized by using bifurcation diagram, phase portrait, and time series. The stability analysis of period-1 behavior is studied by using Filippov’s method, the analytic results show good agreement with simulation ones. Then, the stabilization of chaos to fixed point is carried out by using the sliding mode control (SMC). In addition, experimentally the nonlinear dynamics and the proposed stabilization method to PM DC motor drive system have been achieved by using a microcontroller. For the first time, it is noted that when the system is in chaotic dynamics, the vibration of the motor is increased approximately 400% compared with the system in periodic dynamical behavior.


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