Verified @unilorin.edu.ng
Kobe University, Kobe, Japan.
Obtained Doctor of Engineering ( degree in Computer and System Engineering
University of Ilorin, Ilorin, Nigeria.
Obtained Master of Engineering (M.Eng.) degree in Electrical Engineering
University of Ilorin, Ilorin, Nigeria.
Obtained Bachelor of Engineering (B.Eng.) degree in Electrical Engineering (Second Class (Hons.), Upper Division)
Computer Engineering, Information Systems, Electrical and Electronic Engineering, Information Systems and Management
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Aye Taiwo Ajiboye, Jayeola Femi Opadiji, Abdulrahman Olalekan Yusuf, Olusogo Joshua Popoola, Esther Toyin Olawole, and Olalekan Femi Adebayo
Institute of Advanced Engineering and Science
The development of structured methods for proportional-integral (PI) controller design for systems with time delay are proposed in this article. Several PI controller design methods for time-delay systems have been reported. However, combining two or more methods to form new ones have not been given serious attention. The system stability region in the controller parameters space was determined by plotting the stability boundaries. In this study, the controller gains were first obtained using genetic algorithm (GA), weighted geometric center (WGC), and centroid of convex stability region (CCSR). Thereafter, these gains were combined by finding the centroids of lines joining any of the two gain locations, and triangle whose vertices are the location of the three gains in the convex stability region, thus yielding four additional methods, M1, M2, M3, and M4. Compared to a particular existing method, some of the proposed methods yield faster response speed at the expense of reference input tracking, while the reverse is the case for others. Any of the proposed methods (M1, M2, M3, and M4) can be selected depending on the system performance specifications.
Aye Taiwo Ajiboye, Jayeola Femi Opadiji, Olusogo Joshua Popoola, Abdulrahman Olalekan Yusuf, Olalekan Femi Adebayo, and Esther Toyin Olawole
Institute of Advanced Engineering and Science
Design of proportional-integral-derivative (PID) controller with proportional, integral, and derivative gains given by , and respectively, for time-delay systems is presented in this study. The centroid of the convex stability region (CCSR) method in the - plane for fixed is used. PID controller design for time-delay systems in the - plane for a fixed and - plane for a fixed have been extensively researched. Despite the amenability of CCSR method to design of PID controller in the - plane for fixed , its application in this regard has not been given serious attention. The stability region in - plane for fixed was determined and the required controller gains in the region were determined using the CCSR method. Using the determined controller gains, the system closed loop unit step response for all the considered regions was plotted on same axes. Based on the obtained results, different combinations of controller gains can be implemented depending on the system time domain performance measures (TDPMs) requirements. However, selection of an appropriate controller gains combinations, requires compromise among any of the conflicting TDPMs.
Aye Taiwo Ajiboye, Jayeola Femi Opadiji, Olusogo Joshua Popoola, and Olalekan Femi Adebayo
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
The design of a Proportional-Integral-Derivative (PID) controller with proportional, integral, and derivative, gain, k p , k i , and k d , respectively, for a time-delay system, is quite common, particularly in the k i - k d plane, for a fixed k p or in the k p - k i plane, for a fixed k d . These design methods have been widely reported in the literature, however, the process of investigating the effects of using any of these design planes on system performance has not been given serious attention hence the need for this study. The stability region in the k i - k d and k p - k i design plane for a fixed value of k p and k d respectively were determined. For every determined stability region, the optimum value of controller gains in the plane was determined using a genetic algorithm (GA) with the integral of time multiplied by absolute error (ITAE) used as the objective function. The optimum value of the fixed gains was graphically determined by plotting the minimum of ITAE (Min-ITAE) for each stability region against the fixed gains. The overall optimum controller gains are the fixed gain that gives minimum of Min-ITAE (Min (Min-ITAE)) and the gains that resulted in Min-ITAE that yielded the Min (Min-ITAE). Using the determined overall optimum controller gains, the system closed-loop step response was plotted for the two design planes and the time domain performance measures (TDPMs) were determined. Based on TDPMs obtained for examples 1, 2, and 3, the k i -k d design plane yielded a faster response while the k p - k i design plane yielded a response that closely tracks the input irrespective of the system type and order. The study will enable control system designers to select the design plane that will give the best system performance right from the start of controller design without involving trial and error once the system transfer function and design specifications are known.
Ajiboye A. T., Opadiji J. F., Yusuf A. O., and Popoola J. O.
Universitas Ahmad Dahlan
The MQ-series gas sensors are attractive candidates in the area of gas concentration sensing due to their high sensitivity and low cost. Even though the sensor circuit sensitivity and sensor power dissipation level both depend on load resistance, the process of the load resistance selection has not been well researched, hence the need for this study. The derivation of model equations for determining the sensor circuit sensitivity and sensor power dissipation is presented. The derived equations were used to investigate a typical scenario of MQ-6 gas sensor under the influence of liquified petroleum gas (LPG). The variation of sensitivity with load resistance and that of power dissipation with sensor resistance were parametrically investigated. The load resistance that yields maximum sensor circuit sensitivity with the maximum sensor power dissipation less than the set threshold is the candidate resistance for the sensor circuit. The 20 kΩ load resistance recommended for MQ-6 in the datasheet was authenticated in this study, yielding the maximum possible sensor circuit sensitivity and tolerable sensor power dissipation of 0.195 mV/ppm and 3.125×10−4 W, respectively.
I. O. Ohijeagbon, O. C. Omoragbon, J. O. Aweda, A. S. Adekunle, and J. F. Opadiji
IOP Publishing
- A developmental design of an orthopaedic recovery system has been conducted. Anthropological data of mass and length distribution of the body segments were used to estimate the components and total length of the main supporting frame and maximum body load that may be accommodated by the system. Vital geometrical, operational load and power parameters were also designed for the required hydraulic subsystems. Results show that the total length of the main supporting frame of the system is 2.237 m and the maximum body load that can be accommodate on the system is 371 kg. The load and power requirements were highest at the hip joint, with the following values: maximum supporting load 2,313.16 N, internal pressure of hydraulic system 379.89 kN/m 2 , buckling load of connecting rod 9252.64 N, critical buckling load of hydraulic system 13370.06 N, required power 86.56 W, expected electrical power input 149.93 W and spring stiffness 6.18 kN/m respectively. When constructed, the developed design is expected to facilitate treatment and recovery of orthopaedic patients. Physiotherapeutic services for body joints related problems would be greatly aided to offer better quality services. Required human involvement and effort on the side of the service providers shall be greatly reduced.
Toshiya Kaihara and Jayeola F. Opadiji
Springer Berlin Heidelberg
Jayeola F. Opadiji and Toshiya Kaihara
IEEE
Value delivery is the ultimate objective of every supply network. In this study, we propose a method of mitigating the effects of excessive competition in a convergent manufacturing supply network. Using an auction based protocol; market equilibrium is reached for a resource allocation problem within the network. In order to improve the quality of the solution obtained, a mediation method facilitated by network auctioneers is proposed. This method will allow an auctioneer to redistribute cost in its market in such a way as to improve throughput in that market which ultimately improves the throughput of the supply network.
Jayeola Femi Opadiji and Toshiya Kaihara
Springer Berlin Heidelberg