Fuzzy Plus Integral Control of the Effluent Turbidity in Direct Filtration

Dynamic modeling and active control of a cable-suspended parallel robot

“…System dynamics in tracking control may change significantly. Therefore, the fuzzy control is a convenient choice because it is possible to finely tune the control actions in a nonlinear fashion for different tracking error ranges [24]. Hence, in order to improve its control performance, in some nonlinear systems and in the case of strong disturbances, fuzzy and PID controllers are used in parallel [24,32].…”

“…Therefore, the fuzzy control is a convenient choice because it is possible to finely tune the control actions in a nonlinear fashion for different tracking error ranges [24]. Hence, in order to improve its control performance, in some nonlinear systems and in the case of strong disturbances, fuzzy and PID controllers are used in parallel [24,32]. In view of the characteristics of nonlinearity for CPR, a proportional-integral controller needs to be added in parallel to the fuzzy controller for the tracking control of the CPR in order to improve the steady-state error performance.…”

“…In addition, in many applications, the fuzzy-logic-control-based systems have proved to be superior in performance to conventional systems. Recently, fuzzy-logic and conventional-technique are combined to design fuzzy-logic controller, and the control technology based on fuzzy-logic is being increasingly applied to systems with nonlinearity and uncertainty; see e.g., [22][23][24][25]. In [22], the genetic algorithms can be used effectively for generating fuzzy rules in fuzzy-PID hybrid control structures.…”

“…In [23], a new hybrid fuzzy P+ID control scheme is developed to control a direct drive two-link manipulator under inertial parameters' changes. A fuzzy plus integral control approach is applied to the control of the effluent turbidity in direct filtration in [24]. In [25], a fuzzy PI+PD controller, which includes a dynamic switching fuzzy system, is applied to swing-up an underactuated mechanism: the pendubot.…”

Development of advanced PWM inverter with soft switching technique for brushless DC motor variable speed drives systems

“…Nanyang Technological University Library induction motor drives [97] which reduces the steady state error as compared with PI-type fuzzy logic controller, while keeping the merits of PI-type FLC. Onat M. proposed fuzzy plus integral control of the effluent turbidity in direct filtration[65] which successfully compensates the disturbances such as the filter flow rate and the influent turbidity that directly affect the effluent turbidity.Rubaai A. proposed a hybrid fuzzy and PI controller for PM BDCM drive system which is effective and simple to design[76]. However it is a single closed-loop controller without current loop which will be slow response in motor starting and sensitive to load disturbance.…”