W artykule przedstawiono trzy metody praktycznego nastrajania przemysłowych regulatorów PID. Pierwsza obejmuje identyfikację modelu obiektu dla odpowiedzi skokowej, nastrojenie wstępne oraz korektę wzmocnienia. W drugiej rozszerzono warunek projektowy przy sterowaniu przekaźnikowym uzależniając go od stosunku opóźnienia do stałej czasowej. W trzeciej części opisano algorytm zbliżony do EXACT, który korzystając z "wzorcowych powierzchni" w kilku krokach znajduje optymalne nastawy PID.
EN
Three methods for automatic tuning of PID loops are presented. The first one involves identification of step response, preliminary tuning of the controller and one or two corrections of the gain. The second extends standard relay self-tuning to variable gain and phase margin, which depend on delay to time constant ratio. Also an alternative to EXACT adaptive algorithm is presented, where tuning steps are performed along contour lines of three template surfaces.
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W artykule prezentowana jest metodologia projektowania układu regulacji prędkości dla powszechnie używanego w układach napędowych obrabiarek CNC serwonapędu prądu stałego. Przedstawiono metodę PID-OVR, którą wykorzystuje się do wstępnego doboru nastaw regulatora oraz procedurę rozmytego dostrajania regulatora PID przeznaczoną do pracy w fazie rozruchu układu regulacji. Rozważania teoretyczne zilustrowano przykładem obliczeniowym.
EN
The paper presents a methodology of designing a velocity control system for a DC motor servo drive that is widely used in CNC power transmission systems. There are presented both: the algorithm for tuning the velocity controller for a specified value of overshoot and a fuzzy-logic based tuning of PID controller procedure. This procedure do not require any active identification experiments to be carried out, thanks to which the control performance is not affected.
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An alternative to EXACT self-tuning algorithm available in PID controllers from Emerson-Foxboro is presented. The same specifications, i.e. overshoot and damping of the error transient, are used. Tuning steps are performed along contour lines of three template surfaces which represent overshoot, damping and frequency in terms of loop gain and controller zero. The template surfaces are generated by simulation of PID loop with time-constant-plus-delay plant whose time constant is the same as delay. The algorithm applies simple 2nd order model for oscillating and damped transients. Convergence rate is similar to that of EXACT. Simplified version of the algorithm has been implemented in an industrial controller.
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This paper presents the development of a unified approach to active control of noise and vibration.The design of an active control system in initially considered on the basis of a singleinput single-output(SISO) structure.The design procedure is formulated so as to allow on-line adaptation and control,and accordingly an adaptive control algorithm is devised.The design is the extended to the case of a single-input multi-output(SIMO)control structure. The control strategies thus devised are verirfied in the cancellation of broadband noise in a free-field medium, and in vibratio suppression in a cantilever beam in fixed-free and fixed-fixed modes.A comparative assessment of the results with SISO and SIMO control structures is presented and discussed.
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Self-tuning tracking control of ARMAX system in the presence of amplitude constrained input is considered. An extension of the result presented in [7] is given to the case of piecewise constant set-point. Stability and performance robustness are discussed on the basis of secondorder ARMAX systems.
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The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAX/ARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke's algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal are of the rate, amplitude and energy types. A comparative simulation study of self-tuning control system behaviour is given with respect to the design parameters and constraints. The stability of a closed-loop control system is analyzed and the computational loads of both the methods are compared.
It is nesessary to tune the fuzzy rules and the scalling factors in real-time control of a large scale system, the steam generator of a nuclear power plant, as it is related to safety and availability of the plant. A novel real-time tuning algorithm of fuzzy controller based on the scaling factors is proposed and applied to the steam generator water level control system of the nuclear power plant. The new real-time tuning algorithm adopts a variable reference tuning index for a good system tuning response and an instantaneous system fuzzy performance for scaling factor tuning. For the fuzzy steam generator controller, an image signal of feedwater flow error at low power is proposed and pressure compensation rules and a gain scheduler of feedwater temperature are designed also. The fuzzy controller of the steam generator water level is simulated by the proposed method. The simulation results show that the improved performance of the steam generator water level controller by the proposed method.
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