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...

This paper presents Self-Tuning Fuzzy Logic Controller for sensorless vector controlled induction motor drives. When induction motor is continuously used long time, its electrical and mechanical parameters will change, which degrade the performance of PI controller considerably. This paper uses a Self-Tuning Fuzzy Logic Controller to improve the control performance.Here; the output gain of the ...

The majority of processes met in the industrial practice have stochastic characteristics and eventually they embody non-linear behaviour. Traditional controllers with fixed parameters are often unsuitable for such processes because their parameters change. The changes of process parameters are caused by changes in the manufacturing process, in the nature of the input materials, fuel, machinery ...