DSpace Collection:
http://hdl.handle.net/123456789/369
2022-12-07T08:57:03ZSafety Rules and Procedure for Disaster Prevention of a Sustainable Control System Design
http://hdl.handle.net/123456789/2862
Title: Safety Rules and Procedure for Disaster Prevention of a Sustainable Control System Design
Authors: Ezekiel, D.M.
Abstract: A causal engineering system [i.e. a system in which before an excitation is applied at t = T, the response is zero for ∞ < t < T where T is the period (Kuo, 2005)] such as a control system may suddenly become hazardous, disastrous and destructive on a scale unimaginable and colossal, due to cause and effect (causality, as defined above). Such disaster can occur if in the control system (robust, adaptive or optimal), the plant and/or controller (which both form the process) in question or the feedback element (sensor) or the filter is/are left to operate outside the region and boundary of safe operation of its design. The magnitude of such a disaster may reach an alarming and catastrophic level leading to, for example, destruction (complete failure) of the control system, factory or manufacturing unit, destroying not only human lives and other life forms sometimes, but also rendering the environment or locality where the factory or industry is situated inhabitable and unsafe for any form of life to exist there as a consequence. Example is the tragic Chernobyl nuclear energy disaster in Eastern Ukraine in 1986 or the more recent Fukushima Daiichi nuclear power plant disaster in Japan in 2011, to mention a few. They were unfortunate engineering situations and nuclear energy/power disasters of huge magnitude due to radiation and radioactivity that could have been avoided and prevented if the human operator error was avoided and eliminated by strict adherence to the safety procedures for their operation and if proper fault-tolerant equipment/elements were used to implement a robust, adaptive or optimal control. This paper therefore, shades light on control systems and also presents some safety rules that can be used to operate control systems as a proactive disaster prevention measure, in order to achieve and maintain safety and sustainability.2017-01-01T00:00:00ZSustainable Control System Design Using A Nonlinear Fuzzy Logic Expert System PD Controller Design Approach In Matlab/Simulink
http://hdl.handle.net/123456789/2848
Title: Sustainable Control System Design Using A Nonlinear Fuzzy Logic Expert System PD Controller Design Approach In Matlab/Simulink
Authors: Ezekiel, D.M.; Dagyeng, H.H.
Abstract: The Nonlinear Fuzzy Logic (NFL) expert system design is another approach, like the Quantitative feedback
theory (QFT), for designing a control system. The Fuzzy logic control is a formal methodology for
implementing control system based on human heuristic knowledge. The fuzzy logic expert system tries to mimic
an expert operator by converting crisp values into membership functions on a 2 dimensional(2D) array, 2
universes of discourse for the error (e) and the change in error (ce). The Robust design performance for the Oil
Rig model-the Lab Servo Rig, in real time (online) using the matlab file (m-files) or the graphical user interface
(GUI) in MATLAB is then compared with that of the SIMULINK model as well as the quantitative feedback
theory QFT) approach at the end of our design. For both designs, the same plant, controller and pre-filter models
and specifications are used. This paper shows that both QFT and the fuzzy logic methods systematically gave
out accurate and identical outputs, suggesting that both methods are highly of practical importance and can be
used in the design process of a controller.2017-01-01T00:00:00ZEvaluation of Systems Performances and Systems Reconfigurations
http://hdl.handle.net/123456789/2840
Title: Evaluation of Systems Performances and Systems Reconfigurations
Authors: Okorie, P. U.; Aliyu, U.O.; Ezekiel, D. M.
Abstract: The paramount interest in any reliability study is ensuring a good quality of service to customers defined as a combination of availability of the energy supply and the quality of the energy available to the customers. This paper discuss on the reliability of the power supply for three kinds of situations. This will show how reconfiguration and alternative sources improve the reliability of the power system. The aim of this paper is to evaluate power system reliability analysis improvements with distributed generators (also known as Distributed Resources) while satisfying equipment power handling constraints and energy sustainability technology thereby eliminating the frequent rate of power interruption or outage to
the consumers.2014-02-01T00:00:00ZClassical Control Theory Implementation of a Robust Control System on a Laboratory Oil Rig Model Based on Quantitative Feedback Theory (Qft) in Matlab/Simulink, for National Industrial Sustainable Development
http://hdl.handle.net/123456789/2685
Title: Classical Control Theory Implementation of a Robust Control System on a Laboratory Oil Rig Model Based on Quantitative Feedback Theory (Qft) in Matlab/Simulink, for National Industrial Sustainable Development
Authors: Ezekiel, D.M.
Abstract: The report presents the design of a Proportional plus Derivative (PD) controller, with the laboratory servo Rig as
the plant model that gives a robust tracking performance when applied, with the magnetic brakes at both
extremes of its travel (i.e., servo fit with brake and servo fit without brake), corresponding to a system with and
without noise disturbance signals respectively, using Classical multiple input single output (MISO) quantitative
feedback theory (QFT) approach (Feng and Lozano, 1999). The servo Rig is an exact miniature model of an Oil
Rig installation in the real physical world, and so a study/analysis and understanding of the model comparatively
makes the Oil Rig infrastructure easily understood and accurately modelled [the model being represented by
mathematical equations in either continuous time (t), discrete time (z), sampled data and delayed response or in
complex frequency (s) domain] and controlled as a consequence. The design processes include: The use of data
collection and model fitting programs provided, to establish a set of transfer functions that reasonably represent
the behaviours observed on the actual Servo Rig. Establishing a suitable set of design criteria for the tracking
performance of the Rigs. Designing a suitable Robust (in a tracking sense) controller. Testing the controller in
simulation and on several Rigs. Various frequency response techniques and analysis and mathematical
modelling (based on abstraction of real systems, using s-domain transfer functions) have been employed, which
include the traditional (i.e., Bode) sensitivity function, Bode log-magnitude, and gain plots, Nichol‟s chart
design criteria, allowable plant parameter variations, pole/zero placement, Nyquist M and N circles plots,
construction of plant templates, PD compensation method, disturbance rejection and the synthesis of a pre-filter
using the nominal loop tracking transfer function. At the end of our design and on comparison, the SIMULINK
as well as the real-time (or online) models in MATLAB for the Oil Rig setup systematically gave out accurate
and identical outputs (i.e., the two superimposed models on each other correctly fitted each other), suggesting a
successful design of our controller. It also gave same order of mathematical equations representations, thus
Classical Control approach provides a formal solution to control systems design. The investigation of the
behaviour of the system used in this control laboratory is based entirely on the MATLAB (matrix laboratory)
software program.2017-01-01T00:00:00Z