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)
WSEAS Transactions on Systems and Control
Simulation research of fuzzy-PID synthesis yaw vector control system of wind turbine
WSEAS Transactions on Systems and Control
FPGA realization of fuzzy temperature controller for industrial application
WSEAS Transactions on Systems and Control
Fuzzy logic based set-point weight tuning of PID controllers
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Pseudo-equivalence of fuzzy PID controllers
WSEAS Transactions on Systems and Control
Some observations on development and testing of a simple autotuning algorithm for PID controllers
WSEAS Transactions on Systems and Control
Experimental verification of design methods for conventional PI/PID controllers
WSEAS Transactions on Systems and Control
Robust stabilization of interval plants using Kronecker summation method
WSEAS TRANSACTIONS on SYSTEMS
Precision table-top portable thermal chamber with double thermoelectric module
CSS'11 Proceedings of the 5th WSEAS international conference on Circuits, systems and signals
Hi-index | 0.00 |
Although PID control scheme is widely employed in industrial control systems, it is hard to search the model-free appropriate control gains for achieving good dynamic performance. The selected constant PID control gains can not achieve consistent control accuracy for different temperature setting points or testing runs. In addition, the temperature control system has nonlinear time-delay, time-varying, slow response speed and one-way control input characteristics, it is also difficult to accurately estimate the dynamic model for designing a model-based general purpose temperature controller to achieve good control performance. Recently, temperature is become an important production control parameter in chemical and semiconductor industry. How to design an appropriate gains auto-tuning control strategy for achieving accurate temperature control accuracy has become an interesting research topic. Here two model-free auto-tuning PID and fuzzy PID control strategies are introduced to design a general temperature controller for different plants. The designed temperature control plants have heater control phase only without cooling control function. 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 without overshoot. The setting point dynamic response behaviour is better than that of the model-based IMC-PID due to the modelling uncertainty and modelling error.