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The Couple Tank (CT) system remains as a benchmark to investigate and test new emerging control schemes in the process industry since its dynamic emulates many factual system in the field of process control. In this paper, we examine the performance evaluation of two control algorithms, proportional derivative controller (PD) and proportional-integral-derivative controller (PID). The dynamics of the CT system is experimentally derived by system identification method and validated with a mathematical model that depicts the dynamic behaviour of the coupled tank system. Furthermore, the control schemes are expanded on the model obtained through system identification method. The simulation results showed that the PD controller did not meet all the specified control objectives. To improve the response an integral controller was incorporated to the PD controller and the response was compared to that of the PID controller and uncompensated system. The results revealed that the PID controller satisfied all the control goals. However, the PD controller was more satisfactory in terms of time response criteria.

As waste production is becoming more widely recognized as a significant issue, particularly in developing nations, rising food consumption and population growth have caused environmental degradation and health crises. Nigeria's waste collection and disposal problems are commonly associated with environmental pollution and health crises. Consequently, throwing garbage on roads during environmental sanitation, is a typical method of waste disposal, leading to large piles of refuse along the roadside, which hinders the nation's beauty. Therefore, for Nigeria's waste management system to be effective, sustainable smart bins with efficient Internet of Things (IoT) applications must be quickly adopted to create a green, clean atmosphere within cities. Smart bins with integrated IoT can provide a sustainable future for cities' waste management.. This model seeks to develop a low-cost, intelligent waste bin system with IoT technology. Sensors and data sharing over a Wi-Fi network, allow for remote control of the waste bin, leading to improved optimization of the bin's level of waste. The economic benefits of this IoT-based system include remote access for efficient level control, lower labour costs, improved time and energy efficiency, and reduced congestion in waste bins.

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