pid control of 2nd order mass force system labview

The process industries require liquid to be pumped and stored in the tanks, then pumped to another tank. The control of liquid level in tanks is a basic problem in the process industries. Keywords: SMC, PID, Sliding surface, Switching function, Chattering. The SMC showed excellent tracking results than PID controller. The tracking performance of SMC is also compared with conventional PID controller in terms of performance index ITAE. The step input signals is fed to the system to test the tracking performance of SMC. A simulation is carried out using MATLAB/SIMULINK to control the non-linear model of coupled-tank system. Initially we develop the mathematical model for a non-linear single-input single- output (SISO). The sliding mode control (SMC) is used to control the level of the coupled tank system. Often the tanks are so coupled together that the levels interact and exhibits a nonlinear behavior. PG Student Department of Electronics and Instrumentation Engineering Karunya University, CoimbatoreĪssistant Professor Department of Electronics and Instrumentation Engineering Karunya University, CoimbatoreĪbstract.-Controlling the level of the liquids is a critical need in many industrial processes. As such, it offers the perfect reference guide for graduate students, researchers and practitioners in the areas of fractional order control systems and fractional order chaotic systems.Comparison of PID Controller with a Sliding Mode Controller for a Coupled Tank System In addition to providing readers extensive information on chaos fundamentals, fractional calculus, fractional differential equations, fractional control and stability, the book also discusses key applications of fractional order chaotic systems, as well as multidisciplinary solutions developed via control modeling. It consists of 30 original contributions written by eminent scientists and active researchers in the field that address theories, methods and applications in a number of research areas related to fractional order control and synchronization of chaotic systems, such as: fractional chaotic systems, hyperchaotic systems, complex systems, fractional order discrete chaotic systems, chaos control, chaos synchronization, jerk circuits, fractional chaotic systems with hidden attractors, neural network, fuzzy logic controllers, behavioral modeling, robust and adaptive control, sliding mode control, different types of synchronization, circuit realization of chaotic systems, etc. The book reports on the latest advances in and applications of fractional order control and synchronization of chaotic systems, explaining the concepts involved in a clear, matter-of-fact style.

Pid control of 2nd order mass force system labview