An investigation on hybrid optimization technique based robust controller design for industrial process

Abstract

very important variables to be controlled. These variables are highly nonlinear newlinein nature because, all the parameters are interacting with each other. newlineThe proposed research work focused on the modelling and control of the nonlinear newlineprocess such as pressure, temperature and level in the three tank newlineinteracting process. The various hybrid optimization techniques are used to newlineobtain the exact mathematical model and optimized PID, MPC and IMC newlinecontroller. In this research work two types of processes are selected, the newlinepressure and temperature process are considered to be the lower order newlineprocesses and in other hand the three tank interacting system is considered as newlinea higher order process. newlineThe nonlinear components present in the industrial processes are newlineresidual drift, delay and saturation occurs in the process, it will affect the newlineprocess dynamic behaviour, the above mentioned non-linear components newlineoccurs due to the following factors such as leakages in the tanks, non-linear newlinebehaviour of final control element and various conversion elements like I/V newlineconverter, I/P converters etc. newlineControlling of pressure will be a very difficult task, because of newlineinterference of the above mentioned non-linear components. Industrial newlineCompressed Air Pressure Control (ICAPC) process is one of the noteworthy newlineand challenging tasks in all the progression industries. Due to the changeable newlineleakages and other non-linear performance of the pneumatic control valve, the newlineinvoluntary pressure control is highly complicated with revere to its different newlinepreferable operating points. newline