Journal of Electrical, Control and Technological Research

Design and Fabrication of Centrifugal Blower using Locally Sourced Materials

2022-11-09T22:36:00+00:00

This paper deals with the design and fabrication of a centrifugal blower. A backwards-curved blower was employed in the study, because the backwards-inclined blower is highly efficient, operates at approximately twice the speed of a forward-curved air blower, and is suitable for high-state pressure applications. The design consideration and analysis concerned within this study is for a single-stage centrifugal blower with capacity, Q (0.317m³/min) at a pressure, P (10,000Pa), head, H (61.87m), and shaft speed, N (1450rpm). The lowest air volumetric rate of 0.073 m³s^-1 was obtained at closing the inlet (85%), the impeller speed (400rpm), and the air volumetric rate (0m³s^-1) at closing the inlet (100%) for all the impeller speeds. The highest air volumetric (0.379m³s^-1) was obtained at closing the inlet (0%) and impeller speed (960rpm). The impeller speed of 400rpm with a static pressure value of 47.03Pa, can be computed as the pressure value at 960rpm (i.e., 40.07Pa), indicating a 17% deviation (difference of 6.96 Pa). The highest total efficiency achieved is on closing the inlet of 50% and the impeller speed of 960rpm was attained at about 9.93%, whereas the lowest total efficiency on all the impeller speeds is achieved at the closing inlet of 0%. The result shows that the centrifugal blower was efficient over a wide range of flows. The blower provides a small unit of footprints with a good turn-down capacity.

Equipment Design and Development: The Control System Feedback Approach to Reverse Engineering

2022-11-09T22:35:53+00:00

In many manufacturing engineering organizations, equipment is several years old, and as a result of this, engineering design details and manufacturing documentation may possibly not be available or obsolete. Manufacturing and subsequent replacement of such equipment can turn out to be a major setback. The dearth of knowledge about the functioning of the equipment, inadequate technical information and unspecified operating conditions hampers the design, development and production of this equipment. The reverse engineering technique approach is key to solving the problems of equipment lacking detailed design drawings. This paper aims at proposing a methodology to solving the manufacturing of equipment lacking engineering design details or computer-aided design (CAD) models. The use of control system feedback approach to design and analysis of equipment which provide and help to determine the input / output relationship between components in the form of block diagrams is presented. Its main contribution is in model derivation in the form of equipment transfer functions or state space, synthesis and analysis of the equipment to produce design details. Lastly, the feedback model approach with the DC motor is illustrated.

Optimizing Hybrid Power Systems for Sustainable Operation of Telecommunication Infrastructure

2025-06-19T23:09:19+00:00

The optimal system model comprising wind/photovoltaic hybrid power system with battery storage is designed by employing the energy-equilibrium strategy. The problem objective considered is in terms of cost but the energy system is constrained to reliably meet the power demand. Evaluation of the optimum sizing, cost and operation of the power system was carried out, utilizing 22-year meteorological datasets for a case study site (latitude 11°50.9′N and longitude 13°9.6′E) in Nigeria. The optimum design size comprising 1 kW wind turbine, 2.55 kW photovoltaic array, with 19.36 kWh battery storage system can reliably power the fourth-generation cellular site under study in a sustainable pathway at an energy cost saving of 94.4 %. This will enhance African cities’ decarbonization agenda by switching from conventional fossil fuel to a carbon-neutral energy system to benefit the immediate operational environment and the city at large.

Comparative of Ziegler Nichols, Fuzzy Logic and Extremum Seeking Based Proportional Integral Derivative Controller for Quadcopter Unmanned Aerial Vehicle Stability Control

2022-11-09T22:35:56+00:00

Unmanned aerial vehicle is potentially recognized in autonomous sectors where intelligence gathering, surveillance, reconnaissance missions, power line inspection, aerial video, search and rescue monitoring devices are required. It is essential in modern era control and monitoring especially a rotary unit where quadcopter performed a crucial task. However, the flight behavior of a quadcopter is determined by the synchronous speed of each of the motors as the speed changes with load torque variations. The dynamics model equation of the system, external disturbances and its parameters variation of the motor makes it difficult for the manual tuning techniques employed into the system to perform its stability operation. The purpose of this work is to employ adaptive controllers to enhance the stability performance so as to prevent the risk of human lives and financial implication that may arise from improper monitoring of the system. Therefore, Ziegler Nichols, fuzzy logic and extremum seeking controllers were employed to auto-tuned the parameters of proportional integral derivative (PID) gains controller to optimize and give a satisfactory performance of motor speed control at different operating condition. The altitude, pitch, roll and yaw parameters of the quadcopter are simulated using the x-plane II flight simulator MATLAB tools. The simulation results presented in this work show better performance for extremum seeking-PID in terms of decrease in rise time, settling time and overshoot relative to Zigler-Nichols-PID and Fuzzy-PID controllers.