Control and Automation Engineering

This paper presents linear parameter varying (LPV) control of permanent magnet synchronous motor (PMSM), which have nonlinear model in d-q rotating frame, using Linear Matrix Inequality (LMI). PMSM model is rewritten in the LPV form depending on the angular speed of rotor which can be measured or estimated. Parameter-dependent Lyapunov function is used for the LPV control design such that the robust stability is assured for all varying parameters using multi-convexity functions. The proposed LPV structure of speed tracking problem is based on the field oriented control (FOC) in the AC motor control methods. Thus, the proposed LPV controller acquires the control of stator currents in d-q rotating frames for the speed control of PMSM in Electrical Vehicle (EV) presented in the simulation results.

Published in:
Vehicular Electronics and Safety (ICVES), 2012 IEEE International Conference on
Date of Conference:
24-27 July 2012
Page(s):
340 - 345
Print ISBN:
978-1-4673-0992-9
INSPEC Accession Number:
12978476
Conference Location :
Istanbul
DOI:
10.1109/ICVES.2012.6294262
Publisher:
IEEE

This paper presents the simulation and analysis of hydraulic-pneumatic quadruple tank system, which is generally used in industrial processes. The system is complex and has many variables. So, the program tool brings to examine the effects of the system parameters. In addition, this analysis and simulation program provides to teach graduate and undergraduate students without laboratory for hydraulic-pneumatic quadruple tank system. The linear dynamic model is used for the simulation and analysis under some operating conditions. Eventually, some simulation examples are exhibited for the parameter effects.

PMSM motor are getting more common each day in industrial applications due to their superiorities such as lacking physical parts such as brushes or commutators, higher reliability and high efficiency and better life expectancy. Another advantage of a pmsm is that it can operate at speeds above 10,000 rpm in bot loaded and unloaded conditions. It is also capable of operating with less noise and electromagnetic interference than a brushed motor. Only disadvantage of a PMSM is that it needs for a control system which is complex. One of the common ways to control a PMSM is the field oriented control method. PMSM is used for the hydraulic servo motor systems. In this study, a PMSM is controlled with FOC method by using Simulink model and the K p and K I coefficients of PI have been determined by using Ziegler-Nichols method.

In recent years, electric vehicles have tremendous potential due to their low maintenance costs and environmental friendliness. The purpose of this study is to provide fatigue analyses on the vehicle chassis to determine the parts to be fatigued and to find the critical life of these parts. Within the scope of this plan, first of all static analysis was carried out with 600 kg load on the chassis model. According to the results of the static analysis, it was observed that the system was within the safety limits, and then fatigue analysis was started. Fatigue analysis were carried out with 5 different road data collected during road tests. As a result of the analysis, the fatigue lives of the parts on the model were determined and It has been seen that the vehicle chassis is far below critical values in terms of fatigue life.

This paper presents a PID controller for water hydraulic servo motor systems. Ziegler-Nichols method estimates the control parameters of the controller. Even though the highly nonlinear nature of water hydraulic servo motor systems makes the implementation of this controller a challenge with the help of linearization techniques it is been successful in controlling the system. Ease of use and simplicity are two big advantages of this control method in hydraulic servo motor systems.

This paper shows the linear-quadratic regulator (LQR) control of coupled-tank system based on the linearized mathematical model. Although the system is nonlinear, it can be linearized at the operating points. Therefore, the temperature and level controller is designed via the method, which is applicable in practical. Also, the control method is known as an optimal control and it has good performance is obtained by determining some matrices of and designing of control for liquid level and temperature controls.

The state feedback control is presented by pole placement for the water hydraulic servo motor system in this paper, which is a choice of driving source for many applications. Although the system is highly nonlinear and has uncertainty parameters, it can be linearized around the working points. The pole placement method is used for the velocity control because it has simpler structure and low-cost contrary to advanced controllers or dynamic controllers. In addition, the control enables to place the desired poles. Therefore, the oscillation, settling time and overshoot are regulated to the disturbances thanks to the controller. The simulation results are presented for the control performance.

This paper proposes a gain scheduling linear quadratic integral (LQI) servo controller design, which is derived from linear quadratic regulator (LQR) optimal control, for non-singular linear parameter varying (LPV) descriptor systems. It is assumed that state space matrices are non-singular since many mechanical systems do not have any non-singular matrices such as the natural state space forms of robotic manipulator, pendulum and suspension systems. A controller design is difficult for the systems due to rational LPV case. Therefore, the proposed gain scheduling controller is designed without the difficulty. Accordingly, the motion control design is implemented for two-link flexible joint robotic manipulator. Finally, the control system simulation is performed to prove the applicability and performance.