Towards intelligent PID control
Automatica (Journal of IFAC)
Fuzzy self-tuning of PID controllers
Fuzzy Sets and Systems
Tuning of PID controllers based on gain and phase margin specifications
Automatica (Journal of IFAC)
Fuzzy logic based set-point weight tuning of PID controllers
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Temperature is an important production control parameter in chemical and semiconductor industry. Generally, the temperature control system has nonlinear time-delay, slow response speed and one-way control input characteristics. It is difficult to accurately estimate the dynamic model and design a general purpose temperature controller for achieving good control performance. Here model-free auto-tuning and fuzzy PID control strategies are employed to design a general temperature controller for different plants. The experimental results show that these control schemes can obtain reasonable control performance. The steady state error of the step input response is less than 0.2 °C with small overshoot. The time response behavior is better than that of the model-based IMC-PID due to the modeling error.