This paper presents a development of a self-tuning fuzzy PID controller to overcome the appearance of nonlinearities and uncertainties in the system. The self-tuning fuzzy PID controller is the combination of a classical PID and fuzzy controller. The controller is designed based on the expert knowledge of the system. Fuzzy logic is used to tune each parameter of PID controller. Appropriate fuzz...

The development of a Self-Tuning Neuro-Fuzzy Generalized Minimum Variance (GMV) controller is described. It uses fuzzy expert knowledge of the dynamic weightings to meet desired closed-loop stability and performance requirements. The controller is formulated in a polynomial system approach mixed with a Neuro-Fuzzy model and Fuzzy Self-Tuning mechanism. The proposed method is applied to a model ...

Based on parameter self-tuning fuzzy PID controller, a fuzzy inference method is utilized to realize automatic regulating PID parameter, and the application of the controller in a system is studied with MATLAB in this paper. The combination of PID controller system and fuzzy controller system combines the convenience of PID control together with the flexibility of fuzzy control, and takes advan...

The modified second-order sliding mode algorithm is used for controller tuning. Namely the modified suboptimal algorithm based test (modified SOT) and non-parametric tuning rules for proportional-integral-derivative (PID) controllers are presented in the paper. In the developed method of test and tuning, the idea of coordinated selection of the test parameters and the controller tuning paramete...

By using the particle swarm optimization (PSO) algorithm, a novel design method for the self-tuning PID control in a slider–crank mechanism system is presented in this paper. This paper demonstrates, in detail, how to employ the PSO so as to search efficiently for the optimal PID controller parameters within a mechanism system. The proposed approach has superior features, including: easy implem...

In this paper, a novel design method for self-tuning PID controller of in mechanisms system using the particle swarm optimization (PSO) algorithm is presented. This paper demonstrated in detail how to employ the PSO to search efficiently the optimal PID controller parameters of in mechanisms system. The proposed approach had superior features, including easy implementation, stable convergence c...

In this paper we have designed a DC motor whose speed can be controlled using PID controller. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are adjusted according to FUZZY LOGIC. First, the fuzzy logic controller is designed according to fuzzy rules so that the systems are fundamentally robust. There are 25 fuzzy rules for self-tuning of each parameter of PID ...

The paper presents considerations regarding to design and simulation of two adaptive controllers (self-tuning controller with feedback and respectively reference compensation) with application to a power system. The self-tuning control strategy is applied for the excitation control of a synchronous generator. There are analyzed the performances of the both considered self-tuning control structu...