Fuzzy Gain Scheduling and Feed-Forward Control for Drinking Water Treatment Plants (DWTP) Chlorination Process

Drinking Water Chlorination

Fuzzy Gain Scheduling For Improved PID Control

The present paper describes the development of a simple yet effective gain scheduling type fuzzy PID controller algorithm that can employ fuzzy adaptation to dynamically vary conventional PID controller gain(s). While one scheme can dynamically vary the reset rate only, an even improved scheme can effectively vary both proportional gain and reset rate of a PID controller simultaneously, employi...

Fuzzy Gain Scheduling for Magnetic Levitation Control

Magnetic levitation conveyor systems have many advantages compared with the general conveyor systems. Because of the non-contact structure, magnetic levitation systems offer frictionless, low noise, and the ability to operate in highly clean environment. In this environment, materials are sensitive to change location. When materials move to the desired position, the controller is required to be...

Adaptive Sliding Mode and Fuzzy Gain Scheduling Control for Steam Temperature in Power Plants

The paper presents a novel adaptive sliding mode fuzzy control strategy (AFSMC) for maintaining steam temperature in power plants. The AFSMC consists of a learning algorithm inspired by the sliding-mode control (SMC) and fuzzy gain scheduling integral control to compensate system offsets. The performance index for the learning algorithm has a similar structure to the switching variables derived...

PROCESS DESIGN AND CONTROL Multivariable Inferential Feed-Forward Control

Two multivariable inferential feed-forward control strategies are proposed in this paper. In the first strategy, the effects of disturbances on the primary process variables are inferred from uncontrolled secondary process variables that are measured on-line. In the second approach, the effects of disturbances on the primary process variables are inferred from the manipulated variables for thos...