Prediction based optimal control of a quadruple tank process

Design and simulation of a normalized fuzzy logic controller for the quadruple-tank process

“…The pumps are driven through control signals and , which are the voltage levels applied to each pump. The water level in each tank is denoted as , , , and [7]. To generate the output signals and , two level sensors are mounted on the two lower tanks.…”

“…In the past decade, many mechanisms and control techniques have been used to build QTP controllers. These techniques include the predictive model controller [3][4][5][6][7], multiparametric quadratic programming-based controller [8], loop-shaping controller [9], fractional-order proportional-integralderivative (PID) controller [10][11][12][13][14] , fractional-order sliding-mode controller [15,16] , nonlinear backstepping controller with an adaptive high-gain observer [17], decoupling multivariable systems based on generalized predictive control [18], robust relay-based PID auto-tuning strategy [19], fuzzy aggregated multiparametric model predictive controller [20], novel self-tuning dual-mode adaptive fractional-order proportional-integral (PI) controller with an adaptive feedforward controller [21], and nonlinear state feedback decoupling method [22].…”

Analysis of Modelling Methods of Quadruple Tank System

“…This representation is usually given in terms of a set of mathematical equations whose solution gives the dynamic behaviour of the process. [10] For each tank i=1…4, the mathematical modelling is done by consideration of mass balance equation and Bernoulli's law yields: Since liquid using is same throughout the system, then ρ= ρ 1 = ρ 2 .…”