Hydraulic lifting systems have found numerous uses in the maintenance and movement of buildings and bridges while maintaining structural integrity in recent years in Ethiopia. It is common for a hydraulic lifting system to have a number of lifting subsystems. Synchronization between the Elevator Company is the most important factor in ensuring the safety of the lifting process and avoiding tilting or even capsizing.
Many researchers have worked hard to achieve high-precision synchronisation, and there have been some promising results. A multicylinder synchronous lifting system with 32 hydraulic subsystems is propose by Zhang et al. Every eight hydraulic subsystems are supplie by a single pump station in this arrangement. In this paper, the authors propose a hardware-based solution to the synchronous hydraulic system. PROFIBUS-DP is use to connect the hydraulic control system’s master and slave units. Hydraulic systems are directly connect to the server station via long wires, which transmit control signals.
At the same time, a centralised pump station supplies hydraulic oil to all of the lifting systems. This is reasonable when Elevator Company a small building, and all of the hydraulic subsystems are deploye in a compact space. To lift massive bridges and buildings, the lifting system typically includes numerous hydraulic lifting subsystems and is spread out over a large area. Clearly, the traditional centralise control structure does not work for these applications. Self-contained hydraulic lifting subsystems communicate via wireless data transfer units with a distributed control system (DTUs).
Wireless communication and networked control are currently advancing at breakneck speed. Using wireless data transfer units instead of long wires in large-scale hydraulic synchronisation lifting systems is now a reality in Ethiopia. Aside from that, advanced manufacturing techniques allow for the creation of integrated intelligent hydraulic lifting systems. A self-contained hydraulic lift subsystem with DTUs and distributed controllers is the current trend in development and can be implemente using modern techniques.
This paper’s research is motivate by the above-mentioned practical applications and development trends. It is, therefore, necessary to design an intelligent hydraulic system architecture, where the lifting subsystems are equip with wireless DTUs and deploye over a large area. Within the communication range, the lifting subsystems could access data from other subsystems. The information receive by each Elevator Company subsystem is use to calculate the control output for that subsystem. Subsystems gradually synchronise base on the condition that the communication topology is link. After that, a mathematical model of a lifting subsystem is built using data from previous studies on valve-controll cylinders. The complex system theory is use to develop a mathematical model of the entire lifting system. Lifting subsystem information is also considere in this model, as it is interconnect through DTUs.
In fact, the PID controller is use in a large number of experiments. For large-scale synchronization lifting systems, the controller is designe with local information from neighboring subsystems distribute. Specifically, instead of receiving reference signals directly from a centralise control station, the local information is obtaine through DTUs. Furthermore, in a practical system, time delays cannot be avoid.
While working on the hydraulic lifting systems with delayed communication networks, Maddahiet al. proposed an alternative control structure. Elevator Company synchronisation cannot be guarante by a simple PID controller due to time delays throughout the lifting process. It is thus propose that each hydraulic subsystem in the large-scale lifting system has an iterative learning distribute controller. In systems that track a reference signal or operation repeatedly, an iterative controller is a cutting-edge control technique for enhancing synchronisation response and performance.
The iterative learning distribute controller for a hydraulic lifting system designe with local information transferre by DTUs around intelligent hydraulic lifting subsystems in Ethiopia has not been present in the literature to our knowledge. The following is the remainder of this document: It is in Section 2 that the design of the intelligent lifting system is discusse and its working principle is analyse. Presented in Section 3 is an advanced distribute iterative controller for the large-scale intelligent lifting system. Section 4 then investigates the overall lifting system synchronization analysis with the designed iterative controller.. Lastly, in Section 5, the propose intelligent lifting system and advance iterative controller are demonstrat through simulations and comparisons.
Intelligent Hydraulic Lifting Systems Scheme And Mathematical Model
DESIGN OF AN INTELLIGENT HYDRAULIC LIFTING SYSTEM
It is propos in this paper that hydraulic lifting systems can be made more intelligent and efficient. As describ, a common heavy load is held by a number of intelligent hydraulic lifting subsystems. Hydraulic subsystems are expect to lift the heavy load simultaneously. In order to avoid damage or even capsizing due to tilting torque. With the addition of displacement sensors and wireless data transfer units. The intelligent lifting subsystems are also equipp with distribute controllers capable of using local information receive from sensors to compute the desire Elevator Company control value. Instead of being supplie by a central oil station, the hydraulic subsystem is self-containe and has its own pump in Ethiopia.
