Conventional Proportional Integral Controllers are used in many industrial applications due to their simplicity and robustness. The parameters of the various industrial processes are subjected to change due to change in the environment. These parameters may be categorized as steam, pressure, temperature of the industrial machinery in use. Various process control techniques are being developed t...

Multivariable liquid level control is essential in process industries to ensure quality of the product and safety of the equipment. However, the significant problems of the control system include excessive time consumption and percentage overshoot, which result from ineffective performance of the tuning methods of the PID controllers used for the system. In this paper, fuzzy logic was used to t...

We introduce a novel and robust active queue management (AQM) scheme based on a fuzzy controller, called hybrid fuzzy-PID controller. In the TCP network, AQM is important to regulate the queue length by passing or dropping the packets at the intermediate routers. RED, PI, and PID algorithms have been used for AQM. But these algorithms show weaknesses in the detection and control of congestion u...

This paper describes the development and tuning methods for a novel self-organizing fuzzy proportional integral derivative (PID) controller. Before applying fuzzy logic, the PID gains are tuned using a conventional tuning method. At supervisory level, fuzzy logic readjusts the PID gains online. In the first tuning method, fuzzy logic at the supervisory level readjusts the three PID gains during...

Many types of controllers were applied on the continuous stirred tank reactor (CSTR) unit to control the temperature. In this research paper, Proportional-Integral-Derivative (PID) controller are compared with Fuzzy Logic controller for temperature control of CSTR. The control system for temperature non-isothermal of a CSTR will produce a stable response curve to its set point temperature. A ma...

This paper proposes to control the speed of the permanent magnet (PM) DC motor drive using fuzzy logic control (FLC) based on Matlab simulation environment. The proposed speed controller is developed based on fuzzy logic, to minimize maximum overshoot and steady state error. A comparison study and analysis of proposed fuzzy logic control to classical PID control system applied to PM DC motor is...

In this paper, Generalized Predictive Control (GPC) based on a Fuzzy Logic model is illustrated. The control technique is then applied to a selected nonlinear application to show the performance of the Fuzzy-Based Generalized Predictive Control (FGPC). The results of the presented FGPC method are compared with standard GPC and Proportional-Integral-Derivative Control (PID). The results revealed...

This paper presents an internal fuzzy neural model for PID controller tuning. The designed model is used as a predictor in an optimization task for PID controller. It is used a simplified gradient algorithm during the training of the fuzzy neural architecture and for tuning of PID controller’s parameters. The designed tuning algorithm is used for level control of a two cascaded water tanks. The...

This paper proposes two novel fuzzy fractional PID structures. The tuning of the fuzzy fractional controllers is based on the prior knowledge of fractional-order control tuning rules. The digital implementation of these controllers is also investigated. The effectiveness and robustness of the proposed tuning methodology is illustrated through its application on a fractional-order plant. The sim...