Essay Sample on Robot Challenge: Automatic Lawn Mowing System

The concept and design of automatic lawn mowing system was proposed by the IEC Technical Committee, Working group published IEC 6180 which involves a standard for the design of substantiation automatic system.

Figure 1: Communication topology of the automatic lawn mowing system

Figure 1 has three levels of the automatic system i.e., the station, bay and process levels. The station level is where the user-interface, the Human Machine Interface, substation, and servers are located. The server and exchange data that come from to substation such as remote access point "interface 1" control center "interface 2" using DNP 3.0. The device exchanges critical data such as interlocking "interface 3" between bays. Control is done in the station and bay level using message specification "interface 4". Measurements such as currents and voltage are sent to the station level from the process level to bay level while control data is sent from the bay level to process level "interface 5" using SMV. Interface 6 shows remote control of the lawn mowing system.

The hardware in a hybrid lawn mowing system combines digital and hardware device simulators. Hardware devices such as IEDs, PMU and converts need input data from the automatic lawn mowing system to process its algorithm (Baheti & Gill, 2011). For example in case of PMU requires 30 data samples after every second, the automatic lawn mowing system has to calculate the input data in 0.333[mesc] and send it to the PMU. Otherwise this cyber-physical will lose the accuracy of the results. Time synchronization that involves hardware devices and digital lawn mowing system can be done by implementation of time tags such as creating time tags for controls and measurements.

There are three sub-modules in the lawn mowing system such as communication protocol, power emulator, and network emulator can be utilized in lawn mowing local and wide areas in various psychical systems. In order to connect the psychical system module, the first section of the lawn mowing system is utilized in evaluating the performance, stability or functionality of communication in the system (Lee, 2008). The network emulator can be a computer software that performs a networked simulation, a hardware based device or hybrid lawn mowing system that involves both of them. There are a few benefits when using network emulators on hardware based devices. For example, the emulators are smaller, cheaper and flexible compared to other hardware options.

The system includes software, applications, and systems that are developed for operation and control of the lawn mowing system; a solution that enables the lawn mowing system to deploy physical operation. In fact, the power system follows an approach that enables network integration and general levels of system-in-the-loop test. Open source code based emulator can be customized and incorporated into the current platform. Its suitable for lawn mowing system where it is desirable in evaluating algorithms or applications.

The function of the power flow with controls and load variations have distributed analysis and solar energy analysis. In this lawn mowing system, a simulation engine generates a quasi-steady dynamic of the power system.

Figure 2: Successive power flow

Successive power flow calculations obtain the time series of system states with inputs of the controls as well as load variations, where T is the current time, Tendis the end of simulation time and tis the time difference involved in the power flow (Palensky et al., 2014).

For integration between powers lawn mowing system engine and external module and the component object model is a build in feature and cane be executed by a pseudo code. The component object model interface and pseudo code can access the power flow results and adjust the parameters of obtaining and loading data into the lawn mowing system.

References

Baheti, R., & Gill, H. (2011). Cyber-physical systems. The impact of control technology, 12, 161-166.

Lee, E. A. (2008, May). Cyber physical systems: Design challenges. In Object oriented real-time distributed computing (isorc), 2008 11th ieee international symposium on (pp. 363-369). IEEE.

Palensky, P., Widl, E., & Elsheikh, A. (2014). Simulating cyber-physical energy systems: Challenges, tools and methods. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(3), 318-326.