Totally invariant state feedback controller for position control of synchronous reluctance motor

2001 ◽  
Vol 48 (3) ◽  
pp. 615-624 ◽  
Author(s):  
Kuo-Kai Shyu ◽  
Chiu-Keng Lai ◽  
J.Y. Hung
Keyword(s):  
State Feedback ◽  
Position Control ◽  
Feedback Controller ◽  
Invariant State ◽  
State Feedback Controller ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor

scholarly journals Artificial Neural Network-Based Gain-Scheduled State Feedback Speed Controller for Synchronous Reluctance Motor

2021 ◽  
Vol 6 (1) ◽  
pp. 276-288
Author(s):  
Tomasz Tarczewski ◽  
Łukasz J. Niewiara ◽  
Lech M. Grzesiak
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
State Feedback ◽  
Feedback Controller ◽  
State Variables ◽  
State Feedback Controller ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Constant Coefficients ◽  
Gain Scheduled

Abstract This paper focuses on designing a gain-scheduled (G-S) state feedback controller (SFC) for synchronous reluctance motor (SynRM) speed control with non-linear inductance characteristics. The augmented model of the drive with additional state variables is introduced to assure precise control of selected state variables (i.e. angular speed and d-axis current). Optimal, non-constant coefficients of the controller are calculated using a linear-quadratic optimisation method. Non-constant coefficients are approximated using an artificial neural network (ANN) to assure superior accuracy and relatively low usage of resources during implementation. To the best of our knowledge, this is the first time when ANN-based gain-scheduled state feedback controller (G-S SFC) is applied for speed control of SynRM. Based on numerous simulation tests, including a comparison with a signum-based SFC, it is shown that the proposed solution assures good dynamical behaviour of SynRM drive and robustness against q-axis inductance, the moment of inertia and viscous friction fluctuations.

scholarly journals Robust Position Control of a Two-Sided 1-DoF Impacting Mechanical Oscillator Subject to an External Persistent Disturbance by Means of a State-Feedback Controller

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Firas Turki ◽  
Hassène Gritli ◽  
Safya Belghith
Keyword(s):  
State Feedback ◽  
Position Control ◽  
External Disturbance ◽  
Feedback Controller ◽  
Linear Matrix ◽  
Stability Conditions ◽  
Mechanical Oscillator ◽  
Impact Oscillator ◽  
State Feedback Controller ◽  
The Impact

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.

Performance Comparison between PID Controller and State-Feedback Controller with Integral Action in Position Control of DC Motor

2013 ◽  
Vol 367 ◽  
pp. 188-193
Author(s):  
A. Chowdhury ◽  
D. Debnath
Keyword(s):  
Pid Controller ◽  
State Feedback ◽  
Position Control ◽  
Performance Comparison ◽  
Feedback Controller ◽  
System Response ◽  
Feedback Gain ◽  
State Feedback Controller ◽  
Integral Action ◽  
The Time Domain

This paper presents the design of PID controller and State-Feedback controller with integral action to control the position of DC motor.PID controller is tuned using Ziegler-Nichol’s rules. State-Feedback controller is designed by determining the state feedback gain matrix using Ackermann’s formula. The aim of this paper is to compare the time domain characteristics of system response between PID controller and State feedback Controller with integral action. The Simulation results are demonstrated using MATLAB.Graphical User Interface (GUI) is developed for both the controllers. According to the Simulation result, State-Feedback controller with integral action has the better performance in terms of peak overshoot and settling time as compared to PID controller.

scholarly journals Antenna Azimuth Position Control System using PID Controller & State-Feedback Controller Approach

2018 ◽  
Vol 8 (3) ◽  
pp. 1539
Author(s):  
Aveen Uthman ◽  
Shahdan Sudin
Keyword(s):  
Pid Controller ◽  
State Feedback ◽  
Position Control ◽  
Feedback Controller ◽  
System Response ◽  
Model Design ◽  
Positioning Control ◽  
State Feedback Controller ◽  
Position Control System ◽  
Space Equation

This paper analyzed two controllers with the view to improve the overall control of an antenna azimuth position. Frequency ranges were utilized for the PID controller in the system; while Ziegler-Nichols was used to tune the PID parameter gains. A state feedback controller was formulated from the state-space equation and pole-placements were adopted to ensure the model design complied with the specifications to meet transient response. MATLAB Simulink platform was used for the system simulation. The system response for both the two controllers were analyzed and compared to ascertain the best controller with best azimuth positioning for the antenna. It was observed that state-feedback controller provided the best azimuth positioning control with a little settling time, some value of overshoot and no steady-state error is detected.

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