Nikolaos I. Margaris

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An analytical PI, PID type control law for type-II closed loop control systems is proposed. Type-II closed loop control systems are capable of tracking step and ramp reference signals achieving zero steady state position and velocity error respectively. The development of the proposed control law is based on the well known Symmetrical Optimum criterion and(More)
Explicit tuning rules for digital PID regulators are presented regarding the control of integrating processes. Controller parameters are determined analytically as a function of the process parameters and the sampling time of the controller. The derivation of the proposed PID control law lies in the principle of the Symmetrical Optimum criterion. The(More)
This paper introduces a new simple sensorless algorithm of estimating the Permanent Magnet Synchronous Motor (PMSM) speed and position. The proposed estimation method is implemented using a stator flux/current and a modified back Electromotive Force (EMF) observer connected in cascade. The flux/current observer based on sliding mode techniques ensures(More)
This paper presents a new antiwindup (AW) speed controller for salient-pole Synchronous Machine (SM) with rotor field winding. The control method is based on antwindup methodology using a sliding mode observer for controller gain adaptation. All the system variables are expressed in a γδ estimated rotating reference frame. Firstly, the(More)
An analytical digital PID control law for the design of type-III control loops is developed. The proposed control law involves both dominant time constants of the controlled process, its unmodelled dynamics plus the sampling time of the controller. Basis of the proposed theory is the well known Symmetrical Optimum criterion. The development of the control(More)
Analytical tuning rules for digital PID type-I controllers are presented regardless of the process complexity. This explicit solution allows control engineers 1) to make an accurate examination of the effect of the controller's sampling time to the control loop's performance both in the time and frequency domain 2) to decide when the control has to be I, PI(More)
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