Browsing by Author "Emirler,M.T."

Now showing 1 - 5 of 5

Citation Count: 5
Communication disturbance observer approach to control of integral plant with time delay
(2013) Emirler,M.T.; Guvenc,B.A.; Guvenc,L.
The presence of time delay can cause stability problems in closed loop systems as it adds large negative phase angle to the system frequency response. The Smith predictor is a well-known method of dealing with fixed and known time delays in control systems. Errors in the knowledge of the time delay will cause degradation of the Smith predictor compensation performance. A solution to this problem is to use a communication disturbance observer. Time delayed integral plants are typical examples of open loop unstable systems with time delay. In this paper, the communication disturbance observer based time delay compensation method is applied to high order time delayed integral plants. A robust stability condition is derived for time delayed feedback control systems with the communication disturbance observer. The effect of the communication disturbance observer Q filter cut-off frequency selection on robust stability is investigated. Simulation results are presented for both constant and time varying delays to illustrate the effectiveness of the proposed communication disturbance observer approach. © 2013 IEEE.
Citation Count: 32
Control of mechatronic systems
(Institution of Engineering and Technology, 2017) Güvenç,L.; Aksun-Güvenç,B.; Demirel,B.; Emirler,M.T.
This book introduces researchers and advanced students with a basic control systems background to an array of control techniques which they can easily implement and use to meet the required performance specifications for their mechatronic applications. It is the result of close to two decades of work of the authors on modeling, simulating and controlling different mechatronic systems from the motion control, automotive control and micro and nano-mechanical systems control areas. The methods presented in the book have all been tested by the authors and a very large group of researchers, who have produced practically implementable controllers with highly successful results. The approach that is recommended in this book is to first start with a conventional control method which may then be cascaded with a feedforward controller if the input is known or can be measured with a preview; to add a disturbance observer if unknown disturbances are to be rejected and if regulation of the uncertain plant about a nominal model is desired; and to add a repetitive controller to take care of any periodic inputs of fixed and known period. Case studies ranging from road vehicle yaw stability control and automated path following, to decoupling control of piezotube actuators in an atomic force microscope are presented. Parameter space based methods are used in the book for achieving robust controllers. Control of Mechatronic Systems is essential reading for researchers and advanced students who want to be exposed to control methods that have been field tested in a wide variety of mechatronic applications, and for practicing engineers who design and implement feedback control systems. © The Institution of Engineering and Technology 2017.
Citation Count: 1
A cooperating autonomous road vehicle platform
(IFAC Secretariat, 2013) Emirler,M.T.; Uygan,I.M.C.; Altay,I.; Acar,O.U.; Keleş,T.; Güvenç,B.A.; Güvenç,L.
A cooperating autonomous vehicle platform is introduced in this paper for research work on automated path following and cooperative mobility. This platform is implemented on the autonomous research vehicle Okanom of Istanbul Okan University. The hardware and software components added to Okanom for cooperative autonomous driving are presented. The GPS/INS system implemented in Okanom for autonomous following of GPS waypoint trajectories is explained. The low level lateral and longitudinal controllers used in this platform are given and a robust parameter space lateral steering controller design is presented. A double lane change simulation using the experimentally validated model of Okanom is used to illustrate the effectiveness of the designed steering controller. Information on experimental work in progress and past experimental work are also presented. © IFAC.
Citation Count: 33
Robust PID steering control in parameter space for highly automated driving
(2014) Emirler,M.T.; Uygan,I.M.C.; Aksun Güvenç,B.; Güvenç,L.
This paper is on the design of a parameter space based robust PID steering controller. This controller is used for automated steering in automated path following of a midsized sedan. Linear and nonlinear models of this midsized sedan are presented in the paper. Experimental results are used to validate the longitudinal and lateral dynamic models of this vehicle. This paper is on automated steering control and concentrates on the lateral direction of motion. The linear model is used to design a PID steering controller in parameter space that satisfies D-stability. The PID steering controller that is designed is used in a simulation study to illustrate the effectiveness of the proposed method. Simulation results for a circular trajectory and for a curved trajectory are presented and discussed in detail. This study is part of a larger research effort aimed at implementing highly automated driving in a midsized sedan. © 2014 Mümin Tolga Emirler et al.
Citation Count: 9
Vehicle yaw rate estimation using a virtual sensor
(2013) Emirler,M.T.; Kahraman,K.; Şentürk,M.; Aksun Güvenç,B.; Güvenç,L.; Efendioǧlu,B.
Road vehicle yaw stability control systems like electronic stability program (ESP) are important active safety systems used for maintaining lateral stability of the vehicle. Vehicle yaw rate is the key parameter that needs to be known by a yaw stability control system. In this paper, yaw rate is estimated using a virtual sensor which contains kinematic relations and a velocity-scheduled Kalman filter. Kinematic estimation is carried out using wheel speeds, dynamic tire radius, and front wheel steering angle. In addition, a velocity-scheduled Kalman filter utilizing the linearized single-track model of the road vehicle is used in the dynamic estimation part of the virtual sensor. The designed virtual sensor is successfully tested offline using a validated, high degrees of freedom, and high fidelity vehicle model and using hardware-in-the-loop simulations. Moreover, actual road testing is carried out and the estimated yaw rate from the virtual sensor is compared with the actual yaw rate obtained from the commercial yaw rate sensor to demonstrate the effectiveness of the virtual yaw rate sensor in practical use. © 2013 Mümin Tolga Emirler et al.