Singularly perturbation method for multivariable proportional-integral-derivative controller tuning

Mashitah , Che Razali (2014) Singularly perturbation method for multivariable proportional-integral-derivative controller tuning. Masters thesis, UTeM.

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Efficient controls of industrial processes are of great importance. The industrial control performance has to be met with the desired optimum operation. However, the tuning process always becomes a challenging matter especially for Multiple-Input Multiple-Output (MIMO) system with two-time scale characteristic. This motivates the use of singularly perturbation method into the designs of Multivariable Proportional-Integral-Derivative (MPID) controller tuning. The singularly perturbation method based on Naidu and Jian Niu were considered and tested. It is observed that singularly perturbation system by Naidu method gives a good approximation at low, middle and high frequencies. Two MIMO systems with two-time scale characteristic, wastewater treatment plant and Newell and Lee evaporator were used as a test bed. Traditionally, the MPID controller tuning namely Davison, Penttinen-Koivo, Maciejowski and Combined are based on full order static matrix inverse model. In this work, the singularly perturbed MPID controller tuning methods were proposed based on the dynamic matric inverse to improve the tuning of the system. Furthermore, Particle Swarm Optimization has been applied in tuning the parameters for an optimum control performance. Comparing the closed loop performance and process interaction presented by the traditional MPID and singularly perturbed MPID controller methods, the latter method is able to improve the transient responses, provide low steady state error and reduce the process interaction.

Item Type: Thesis (Masters)
Uncontrolled Keywords: PID controllers
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Library > Tesis > FKE
Depositing User: Norziyana Hanipah
Date Deposited: 04 Sep 2015 07:25
Last Modified: 04 Sep 2015 07:25
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