Acquired Immune Deficiency Syndrome (AIDS) is a disease or continuum condition which is due to Human Immunodeficiency Virus (HIV) infection. One in five people are infected with HIV are not aware of the infection. Early detection of the infection helps the infected people to take medications to avoid future consequences and reduce the risk of transmitting the disease. Reverse transcriptase inhibitors (RTIs) were the first available drug and were considered a principal kind of medication available to treat HIV patients. These drugs are still successful, effective, and are considered to have imperative solutions for treating HIV when joined with different medications. Investigating effect of this branch of the drugs on HIV and model this interaction has a great of importance to control AIDS. This need can be addressed by the control system engineering which uses control theory to estimate and design a system. Since Stability is the most significant requirement of the system, and a system of instability cannot be expected for a particular transient reaction or steady state error specification then objective which is needed to be achieved by working on this research is to design a stabilized model of a patient having AIDS. In this research feedback controllers, Root locus technique and Routh Hurwitz method have been adopted to design such an advanced transformative controller which robustly regulates RTIs infusion dosages considering the amount of HIV viruses in infected human body.
In this paper a new combined method for design of robust controller proposed for minimum phase systems. In order to design of controller, a new method which is combination of feedback linearization method and sliding mode technique was used. The used method is improved system robustness against uncertainties and disturbances. The proposed control scheme is simulated on a quadruple tank process to observe it's performance. There is a robust controller for controlling the height of the fluid level within tanks. There is also a nonlinear disturbance observer, in order to estimate uncertainties exerted to system. This observer was combined with designed controller to decrease the effects of the estimated uncertainties. The simulation results demonstrate that performance of the proposed method is notably promoted in comparison with other controllers presented for quadruple tank process.
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