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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hw2mrqep5ffbzot5ist4jgvge4" style="color: black;">International Journal on Smart Sensing and Intelligent Systems</a>
This paper presents a typical design of fault-tolerant control using two decentralized PI plus fuzzy controllers to control the level of the lower two tanks in a nonlinear quadruple tank level process (QTLP). We also present some basic aspects of decentralized control design concerning stability and performance and illustrate them on a case study: a virtual model of a quadruple tank process. Control structure selection based on performance relative gain array (PRGA) is used, and its ability to<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21307/ijssis-2019-004">doi:10.21307/ijssis-2019-004</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pgifqa4vorfpblv2akizrxx42a">fatcat:pgifqa4vorfpblv2akizrxx42a</a> </span>
more »... valuate the achievable performance is discussed. The controllers are designed based on a conventional PI controller plus fuzzy inference system technique. The relation between inputs/ outputs was proved using relative gain array (RGA), and then, we divided the quadruple tank system into two subsystems and controlled each of them separately, both in minimum and non-minimum phases. Both the controllers were designed to control the nonlinear QTLP at any operating points. The proposed approach was compared with a decentralized fuzzy controller subject to actuator/ sensor and system component faults. The simulation results show that the proposed decentralized fault-tolerant PI plus fuzzy controller has a more accurate tracking level and less computational time in both minimum and non-minimum phases.
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