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PID control is common control method in industrial production, but strong non-linear control system based on ordinary control algorithm isn't able to meet stability and self-adaptive requirements, control precision can't be ensured. Adaptive adjust intelligent model of control parameter based on improved fuzzy radial basis function neural network (F-RBFNN) is proposed in this paper, new algorithm...
In this paper, a novel adaptive PID with sliding mode control for the rotary inverted pendulum is proposed. The goal is to achieve system robustness against parameter variations and external disturbances. In this study, the three parameters of PID controller, proportional gain, integral gain, and derivative gain can be systematically obtained according to the adaptive law. Further reduction of the...
In this paper, the robust design of the multi-loop PI controller for multivariable processes in the presence of the multiplicative input uncertainty is proposed. The paper deals with two major steps: as a first step, the analytical tuning rules of the multi-loop PI controller are derived from the basis of the generalized IMC-PID approach. Then, in the second step, the robust analysis is utilized for...
PID auo-tuning is widely used to control stable processes, however, its application to unstable processes is less common. In this paper, an engineering oriented identification technique for single process is proposed, and simple formulas are derived to tune the PID controller for unstable processes with time delay to meet gain and phase margin specifications. With the proposed PID tuning method, a...
The KLV method for the auto-calibration of PI and PID controllers, using a frequency domain model of the plant to be controlled (obtained by relay excitation) is recalled. The general tuning procedure is derived. It has the advantage of taking into account both robustness aspects (phase margin, gain margin, sensitivity, neglected dynamics) and desired closed loop characteristics, and to cover a large...
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