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Öğe A basic ANN system for prediction of excess air coefficient on coal burners equipped with a CCD camera(Horizon Research Publishing, 2019) Onat C.; Daskin M.Excess air coefficient (?) is the most important parameter characterizing the combustion efficiency. Conventional measurement of ? is practiced by way of the flue analyze device with high market priced. Estimating of the ? from flame images is crucial in perspective of the combustion control because of decreasing structural dead time of the combustion process. Beside, estimation systems can be used continuously in a closed loop control system, unlike conventional analyzers. This paper represents a basic ? prediction system with a neural network for small scale nut coal burner equipped with a CCD camera. The proposed estimation system has two inputs. First input is stack gas temperature simply measuring from the flue. To choose the second input, eleven different matrix parameters have been evaluated together with flue gas temperature values and performed by matrix-based multiple linear regression analysis. As a result of these analyses, it has been seen that the trace of image matrix obtained from the flame image provides higher accuracy than the other matrix parameters. This instantaneous trace value of image source matrix is then filtered from high frequency dynamics by means of a low pass filter. Experimental data of the inputs and ? are synchronously matched by a neural network. Trained algorithm has reached R=0.984 in terms of accuracy. It is seen from the result that proposed estimating system using flame image with assistance of the stack gas temperature can be preferred in combustion control systems. © 2019 by authors.Öğe Gain-Scheduling H? control of a smart beam with parameter varying(International Center for Numerical Methods in Engineering, 2017) Onat C.; Sahin M.; Yaman Y.The use of smart structures provides more efficient solutions to most of the active vibration control problems in flexible systems due to the significant advances in sensor and actuator technologies. This paper presents a novel design approach of a gain scheduling H? controller for a parameter varying smart beam having surface bonded piezoelectric sensors and actuators. The robust approach intends to suppress the vibrations of the first flexural resonance of the smart beam which has a servo actuated end mass. The smart beam studied is a cantilever aluminum beam with four surface bonded Lead-Zirconate-Titanate (PZT) patches in bimorph configuration. In the design procedure, first, the parameter uncertain modeling of the flexible cantilever aluminum beam with a piezoelectric sensor and actuator is created by means of an analogical approach. Hence, the uncertain model was achieved from the simulation of the experimentally obtained beam model with a mass-spring-damper system having the equivalent smart beam characteristics. Then, the generalized plant model of the uncertain model is constituted, and a Linear Time Invariant (LTI) H? controller is computed. Finally, a gain scheduling H? controller was obtained by adapting a variable parameter filter to the LTI H? controller. The developed gain scheduling H? controller and its corresponding conventional H? controller are applied on the smart system with parameter varying. The obtained experimental results in time and frequency domain reveal that the proposed controller is able to suppress the vibrations of the smart beam at the first flexural mode. In addition to this, the experimental results show that proposed gain scheduling H? controller's performance is superior then conventional LTI H? controller. © 2017 International Center for Numerical Methods in Engineering. All rights reserved.Öğe A new concept on PI design for time delay systems: Weighted geometrical center(2013) Onat C.In this paper, a new concept on PI design for time delay systems is introduced. The concept is weighted geometrical center of the stabilizing controller parameters region. Calculating of the stabilizing control parameters region is based on plotting the stability boundary locus in the (kp, ki) plane and then computing stabilizing values of the parameters of a PI controller. The weighted geometrical center point of this region is computed by using coordinates of the boundary points. In the simulations, stabilizing controllers in a trial circular area centered at the weighted geometrical center point are studied. Simulation results show that the weighted geometrical center point is a special point in terms of compromising on the transient state characteristics. © 2013 ICIC International.Öğe A new tuning method for PI?D? controller(2009) Yeroglu C.; Onat C.; Tan N.The paper presents development of a new tuning method for fractional order PID controller for the systems which have integer order transfer functions. AU the parameters of the controller, namely proportional gain kp, integral gain ki, derivative gain kd, fractional order of integrator k and fractional order of differentiator ? can be obtained by using this method. It is clearly shown that the fractional order controller, which the parameters obtained by the proposed method, gives better response than the integer order one for the same system.Öğe Optimal control of a smart beam by using a Luenberger observer(University of Patras, Laboratory of Technology and Strength of Materials, 2013) Onat C.; Sahin M.; Yaman Y.This paper presents the design of an optimal vibration control mechanism, namely an LQR controller, with a Luenberger observer for a smart beam having surface bonded piezoelectric sensors and actuators. The approach intends to suppress the vibrations of the first flexural resonance of the smart beam. The smart beam studied was a cantilever aluminium beam with eight surface bonded Lead-Zirconate-Titanate (PZT) patches in bimorph configuration. The smart beam was excited at its first resonance frequency (approx. at 7 Hz) with a group of piezoelectric actuator patches and the response of the smart beam was monitored from a single piezoelectric sensor patch in order to obtain the necessary experimental frequency response for the system identification. The design of the controller was achieved by combining the optimal control law, architecture of Luenberger observer and inverse dynamic model of the smart beam. The verification of the developed controller was proved through the time and frequency domain responses and it was successfully shown that the intended target was achieved.Öğe A practical PI tuning approach for time delay systems(IFAC Secretariat, 2012) Onat C.; Hamamci S.E.; Obuz S.In this paper, a simple PI tuning method for time delay systems is proposed. The main characterization of the method is first to obtain the stability region in the (kp, ki)-plane using the stability boundary locus method and then to find the weighted geometrical center point of this region through its stability boundaries. Finally, this center point of the stability region in the (kp, ki)-plane gives the tuning parameters for the PI controller. The proposed method gives a simple and reliable result which is illustrated by several examples, and hence is practically useful for the designers in the analysis and control of time delay systems. © 2012 IFAC.
