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    Dynamic output-feedback H_? control design for ball and plate system
    (Sivas Cumhuriyet University, 2020) Coşkun, Serdar
    Ball and plate system is a nonlinear and unstable system, thus introducing great challenges to control scientists and it resembles many complicated real-time systems in several perspectives. There has been a good number of efforts to design a stabilizing controller for this system. This paper presents a dynamic output-feedback H_? control strategy for the plate and ball system based on the solution of linear matrix inequalities (LMIs). The discussion involves deriving the equations of motion of the system by using the Lagrange method, linearizing the nonlinear equations, and designing an H_? controller to achieve required tracking specifications on the position of the ball. The intent is to show the specified trajectory tracking performance outcomes in time domain via simulation studies conducted using MATLAB/Simulink. A circular and square trajectory following of the designed controller is compared with a baseline PID controller. It is revealed that the proposed controller exhibits an improved tracking performance to following the reference trajectories.
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    Lean-burn air-fuel ratio control using genetic algorithm-based PI controller
    (Murat CİNİVİZ, 2021) Coşkun, Serdar; Köse, Ercan
    Maximizing the fuel economy while lowering exhaust emissions highly depend on precise air-fuel ratio (AFR) control. The major challenge in the control of AFR is the time-varying delay, which is an inherent reason for performance degradation and instability. For analysis, the time delay is approximated by Padé approximation, leading to a non-minimum phase system that exhibits the difficulty of controlling due to its zeroes in the right half side of the s-plane. Moreover, dealing with uncertainties in fuel-path dynamics and minimizing the effect of external disturbances are key goals in the minimization of harmful emissions and maximization of fuel economy. This study puts forward an AFR control strategy in lean-burn spark-ignition (SI) engines by proposing a genetic algorithm (GA)-based proportional-integral (PI) control technique. The proposed PI controller aims at dealing with the aforementioned design challenges. The PI controller gains, namely, proportional (K_p), integral (K_i) gains are obtained with the proposed GA algorithm based on minimization of an objective function. The GA-based PI controller’s performance is analyzed with several methods in time-domain study. According to the obtained results, it has been revealed that the proposed GA-based PI controller improves the reference air-fuel ratio tracking performance in the existence of the time-varying delays in the closed-loop system, exhibiting good disturbance rejection properties, and is robust against system uncertainties. Thus, it can be effectively used for the accurate regulation of AFR under various operating conditions in SI engines.
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    Öğe
    Non-linear Control of Inverted Pendulum
    (2020) Coşkun, Serdar
    Presented is a study of non-linear control for an inverted pendulum system. The inverted pendulumsystem is a great example of an underactuated, non-minimum phase, and highly unstable system. Theobjective of this research paper is to derive non-linear control laws for an inverted pendulum system.First, dynamic equations of the inverted pendulum are derived by utilizing the Lagrange's equations andthen it is linearized around an unstable upright position. Secondly, the corresponding analysis uses thestandard linear stability arguments and the traditional Lyapunov method. The non-linear sliding modecontrol and feedback linearization control laws are then derived The feedback linearization control law isused to transform the non-linear system into an equivalent linear system such that a suitable feedbackcontrol law can be proposed. The stabilization of the initial condition and reference tracking is studied inthis paper. I demonstrate the effectiveness of the proposed non-linear control strategies usingMATLAB/Simulink software
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    Time-delay AVR System Analysis Using PSO-based PID Controller
    (2020) Köse, Ercan; Coşkun, Serdar
    In this study, a Particle Swarm Optimization (PSO) algorithm-based Proportional-Integral-Derivative (PID) controller is proposed forthe Automatic Voltage Regulator (AVR) system terminal tracking problem in the existence of time-delay and varying loads. AVR is acommonly used electronic device for maintaining generator output terminal voltage at a given reference under time-delays and varyingload thus introduces a challenging electrical system problem. Time-delays exist in many real-world systems due to the lags intransmission and transport, in general, they have a negative effect on the stability and control design. For analysis, the time delay in isapproximated by Padé approximation leading to the so-called nonminimum phase system. A nonminimum phase system represents thedifficulty of controlling due to its zeroes in the right half side of the s-plane. To this aim, we utilize a PID controller, its design andapplication widely studied in real-time systems, thus it is a suitable selection for the AVR system. The optimal controller gains,namely, proportional Kp, integral Ki, and derivative Kd are found with the proposed PSO algorithm based on a commonly used errorminimization objective function. The PSO-based optimal PID controller’s performance is analyzed with several methods including rootlocus, bode analysis, robustness, and disturbance rejection. It is demonstrated that the proposed PID controller improves the referenceterminal voltage tracking performance of the AVR system. According to the obtained results, it has been revealed that the proposedPSO-based PID controller improves tracking properties under time-delay and load change thus it can be effectively used for synchronousgenerator automatic voltage regulator system terminal voltage stability.