scholarly journals Pole Placement Based State Feedback for DC Motor Position Control

2021 ◽  
Vol 1783 ◽  
pp. 012057
Author(s):  
Iswanto ◽  
Nia Maharani Raharja ◽  
Alfian Ma’arif ◽  
Yogi Ramadhan ◽  
Phisca Aditya Rosyady
Author(s):  
NUR SULISTYAWATI ◽  
FAHMIZAL FAHMIZAL ◽  
IOTA NATHASYA

ABSTRAKMakalah ini menyajikan penjelasan tentang penerepan full state feedback menggunakan metode pole placement pada sistem buck converter dengan Motor DC. Penambahan komponen buck converter diharapkan dapat membantu menaikkan nilai efisiensi sistem dan memperpanjang umur komponen switch yang digunakan. Namun terkadang sistem ini masih memerlukan kendali untuk dapat memaksimalkan perfoma sistem baik dari segi rising time, settling time maupun error steady state dari sistem. Simulasi kendali full state feedback menggunakan pole placement disimulasikan dengan pemodelan buck converter dan motor DC menggunakan Simscape dan Simulink pada Matlab. Dari hasil simulasi diperoleh bahwa kendali pole placement mampu menghasilkan kondisi rising time 1.4508s, settling time 2.5729s sedangkan kendali LQR lebih lambat 0.9524s untuk rising time dan 4.3603s untuk settling time saat diuji dengan sinyal step. Selain itu, penambahan pre compensator (Nbar) telah membuat sistem mampu mencapai nilai referensi yang diharapkan (error steady state menuju nol).Kata kunci: Motor DC, Buck Converter, Pole Placement. ABSTRACTThis paper presents an explanation of the advanced full state feedback using the pole placement method in a buck converter system with a DC motor. The addition of buck converter components is expected to help increase the value of system efficiency and extend the life of the switch components used. However, sometimes this system still requires control to be able to maximize system performance in terms of both the rising time, the settling time and the steady state error of the system. Full state feedback control simulation using pole placement is simulated by modeling the buck converter and DC motor using Simscape and Simulink in Matlab. The simulation results show that the pole placement control is capable of producing a rising time of 1.4508s, settling time of 2.5729s, while LQR control is 0.9524s slower for rising time and 4.3603s for settling time when tested with step signals. In addition, the addition of a pre compensator (Nbar) has made the system able to reach the expected reference value (steady state error goes to zero).Keywords: DC Motor, Buck Converter, Pole Placement.


Author(s):  
Debargha Chakraborty ◽  
Binanda Kishore Mondal ◽  
Souvik Chatterjee ◽  
Sudipta Ghosh

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Firas Turki ◽  
Hassène Gritli ◽  
Safya Belghith

This paper proposes a state-feedback controller using the linear matrix inequality (LMI) approach for the robust position control of a 1-DoF, periodically forced, impact mechanical oscillator subject to asymmetric two-sided rigid end-stops. The periodic forcing input is considered as a persistent external disturbance. The motion of the impacting oscillator is modeled by an impulsive hybrid dynamics. Thus, the control problem of the impact oscillator is recast as a problem of the robust control of such disturbed impulsive hybrid system. To synthesize stability conditions, we introduce the S-procedure and the Finsler lemmas by only considering the region within which the state evolves. We show that the stability conditions are first expressed in terms of bilinear matrix inequalities (BMIs). Using some technical lemmas, we convert these BMIs into LMIs. Finally, some numerical results and simulations are given. We show the effectiveness of the designed state-feedback controller in the robust stabilization of the position of the impact mechanical oscillator under the disturbance.


Machines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 101
Author(s):  
Leonardo Acho

The main objective of this paper is to present a position control design to a DC-motor, where the set-point is externally supplied. The controller is conceived by using vibrational control theory and implemented by just processing the time derivative of a Hall-effect sensor signal. Vibrational control is robust against model uncertainties. Hence, for control design, a simple mathematical model of a DC-Motor is invoked. Then, this controller is realized by utilizing analog electronics via operational amplifiers. In the experimental set-up, one extreme of a flexible beam attached to the motor shaft, and with a permanent magnet fixed on the other end, is constructed. Therefore, the control action consists of externally manipulating the flexible beam rotational position by driving a moveable Hall-effect sensor that is located facing the magnet. The experimental platform results in a low-priced device and is useful for teaching control and electronic topics. Experimental results are evidenced to support the main paper contribution.


2013 ◽  
Vol 303-306 ◽  
pp. 1657-1660
Author(s):  
Zhi Guang Zhang ◽  
Wei Hu ◽  
Xiao Qiong Li ◽  
Xue Fei Lv ◽  
Min Ping Zhang ◽  
...  

For the precision rotor position control of stream selector, a control system based on direct current motor (DC motor) has been constructed. The DC motor, with a high-precision incremental encoder used as the driving force, was assembled with the stream selector rotor through a shaft coupling. Following the motor rotation, the encoder generated two-channel quadrature pulses and one channel index pulses. An ultralow-power consumption microcontroller (msp430f2232) received theses pulses and calculated them. The position of the slot was determined by the number of pulses counted from the index pulse. Operator can set and monitored the slot positions of five stream selectors simultaneously through the program which was written with LabVIEW on the host computer. This module featured high reliability and low power consumption compared with the one driven by step motor. Beyond that, it was much smaller and lighter.


2021 ◽  
Vol 13 (2) ◽  
Author(s):  
Emmanouil Spyrakos-Papastavridis ◽  
Jian S. Dai

Abstract This paper attempts to address the quandary of flexible-joint humanoid balancing performance augmentation, via the introduction of the Full-State Feedback Variable Impedance Control (FSFVIC), and Model-Free Compliant Floating-base VIC (MCFVIC) schemes. In comparison to rigid-joint humanoid robots, efficient balancing control of compliant bipeds, powered by Series Elastic Actuators (or harmonic drives), requires the design of more sophisticated controllers encapsulating both the motor and underactuated link dynamics. It has been demonstrated that Variable Impedance Control (VIC) can improve robotic interaction performance, albeit by introducing energy-injecting elements that may jeopardize closed-loop stability. To this end, the novel FSFVIC and MCFVIC schemes are proposed, which amalgamate both collocated and non-collocated feedback gains, with power-shaping signals that are capable of preserving the system's stability/passivity during VIC. The FSFVIC and MCFVIC stably modulate the system's collocated state gains to augment balancing performance, in addition to the non-collocated state gains that dictate the position control accuracy. Utilization of arbitrarily low-impedance gains is permitted by both the FSFVIC and MCFVIC schemes propounded herein. An array of experiments involving the COmpliant huMANoid reveals that significant balancing performance amelioration is achievable through online modulation of the full-state feedback gains (VIC), as compared to utilization of invariant impedance control.


2021 ◽  
pp. 107754632110429
Author(s):  
Pouriya Pourgholam ◽  
Hamid Moeenfard

Accurate modeling and efficient control of inverted pendulums have always been a challenge for researchers. So, the current research aims to achieve the following objectives: (I) proposing a comprehensive dynamic model for the inverted pendulums which accounts for the flexibility of the pendulum bar and (II) suggesting an appropriate supervisory fuzzy-pole placement control strategy for stabilizing the pendulum system. Using a Lagrangian formulation, the equations of motion are derived and linearized. Then, a state feedback controller with a reduced-order observer is designed to stabilize the system. Closed-loop simulations reveal that at least six modes shall be considered in the dynamic equations. To improve the quality of the transient response, a novel fuzzy system is developed for real-time assignment of the controller poles. Simulation results demonstrate that the control quality is significantly improved by adding a supervisory fuzzy system to the control loop. The developed approach for dynamic modeling of the system, and the idea of multi-level fuzzy-pole placement control architecture developed in this paper, may be successfully applied to improve the response specifications in other dynamic systems.


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