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_aUMP _beng _cUMP _erda |
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| 090 | _aFTKEE .I34 2022 r Thesis | ||
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_aMohd Ikhmil Fadzrizan Mohd Hanif, _eauthor. |
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_aImproved PID controller based on piecewise affine function in data driven control framework / _cMohd Ikhmil Fadzrizan Mohd Hanif |
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_aKuantan, Pahang : _bUMP, _c2022 |
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| 264 | 4 | _cΒ© 2022 | |
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_axv, 83 pages : _bxiv, 88 pages : _c30 cm. + _e1 CD ROM |
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_aunmediated _2rdamedia |
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_acomputer _2rdamedia |
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_atext file _bPDF _2rda |
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| 500 | _aFaculty of Electrical & Electronics Engineering Technology | ||
| 502 | _aThesis (Master of Science) -- Universiti Malaysia Pahang β 2022 | ||
| 504 | _aIncludes bibliographical references | ||
| 520 | 3 | _aIn recent years, with the rapid developments of science and technology, practical applications in various fields such as chemical, machinery, electronics and electricity industries have caused the process to become more complex. This subsequently causes the modelling of the plant using first principles or system identification to become more difficult. In general, the PID controller has been successfully applied in various applications. However, the PID gains which are proportional (πΎτ―£ ), integral (πΎτ― ) and Derivative ( πΎτ― ) are normally fixed within the given time response. Therefore, it is difficult to control a complex system with highly nonlinear and time-varying parameters. As a result, the control performance accuracy will be degraded for such cases. Therefore, this study focuses on improved PID controller based on piecewise affine function in datadriven control framework which will be tuned by Safe Experimentation Dynamics (SED) Algorithm where combined sets of linear equation are verified on each PID parameter according to the change of error. In particular, the proposed control scheme has been applied for angular velocity tracking of a buck converter generated DC motor, cart position tracking, hook and load sway angle suppression of a double pendulum-type overhead crane (DPTOC) and automatic voltage regulator (AVR) to hold terminal voltage magnitude of a synchronous generator at a specified level. The SED algorithm is utilized as a data-driven optimization tool to find the optimal PA-PID controller parameter such that the control accuracy in terms of integral square error and integral square control input are reduced. The essential feature of the PA-PID controller is that the parameters of proportional, integral and derivative gains are adaptive to the error variations according to the Piecewise Affine (PA) function. Moreover, the proposed PAPID function is expected to produce better control accuracy compared to the optimized PID controller. The performance of the proposed controller was observed based on the integral square of error, integral square control input, time response and percentage of objective function improvement. Specifically, the performance of the proposed controller was evaluated by the response of the angular velocity and duty ratio input for buck converter generated DC motor, the response of the cart position, the hook and load sway angle of the control input for the nonlinear model of DPTOC controller and terminal voltage magnitude of the synchronous generator at a specified level for the automatic voltage regulator. The simulations results verified that the proposed Piecewise Affine Proportional-Integral-Derivative (PA-PID) controller yields higher accuracy than the optimized PID controller of buck converter generated DC motor by 99.8% of control objective function improvement, double pendulum-type overhead crane by 3.8% of control objective function improvement and 98.1% of control objective function improvement for the automatic voltage regulator. These findings justify the effectiveness of the data-driven PA-PID controller in providing better control performance than the optimized PID thus can be applied to a larger class of system. | |
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_aFaculty of Electrical & Electronics Engineering Technology _xDissertations |
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_aUniversities and colleges _xDissertations |
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| 650 | 0 | _aTheses | |
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_2lcc _cTHESIS |
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