RESEARCH ON PLC SYSTEM DESIGN OF A NEW TYPE OF ROTARY TILLER CONTROL PARAMETERS (Programmable Logic Controller)

The purpose of this paper is to design a rotary tiller control system based on programmable controller technology, and verify the application of this control system. In this paper, the traction and depth control of rotary tiller are transformed into the control of piston rod displacement of hydraulic cylinder, and the intelligent fuzzy control of axial extension displacement of rotary tiller and output torque of piston rod is realized. According to the characteristics of the mathematical model, the objective function is determined and the motion parameters are optimized by the steepest descent method, which provides a reliable calculation model for the optimization design of the overall parameters of the rotary tiller. The rotary tiller control system based on PLC (Programmable Logic Controller) can realize the effective control of rotary tillage depth and speed, and the error of rotary tillage depth can be guaranteed within 4.5%. When the soil resistance of the rotary tiller suddenly increases, the fuzzy control of the comprehensive tillage depth value of the stressed position can effectively improve the rotational speed stability of the hydraulic motor for tillage depth control. PLC technology puts the digital control of rotary tiller on a higher technical platform, thus reducing the labour required for agricultural planting, providing a good growth environment for crops and realizing the intelligence of rotary tiller.

Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage

Soil compaction management relies on costly annual deep tillage. Variable-depth tillage or site-specific tillage modifies the physical properties of the soil at the required zones for the growth of crops. In this study, a depth control system was designed for the subsoiler of the tillage at various depths. For this purpose, an algorithm was written to investigate the subsoiler location and soil compaction. A program was also developed to implement this algorithm using Kinco Builder Software to control the subsoiler depth, which was evaluated on the experimental platform. In this study, four compression sensors were used at a distance of 10 cm up to a depth of 40 cm on the blade mounted at the front of the tractor. The data of these sensors were used as the input and compared with the pressure baseline limit (2.07 MPa), and with the priority to select the greater depth, the depth of subsoiler was determined. At all three modes of sensor activation (single, collective, and combined), this system was able to operate the hydraulic system of the tractor and place the subsoiler at the desired depth through the use of the position sensors.

Navigated, Robot-Driven Laser Craniotomy for SEEG Application Using Optical Coherence Tomography in an Animal Model

Objectives: We recently introduced a navigated, robot-driven laser beam craniotomy for use with stereoelectroencephalography (SEEG) applications. This method was intended to substitute the hand-held electric power drill in an ex vivo study. The purpose of this in vivo non-recovery pilot study was to acquire data for the depth control unit of this laser device, to test the feasibility of cutting bone channels, and to assess dura perforation and possible cortex damage related to cold ablation.Methods: Multiple holes suitable for SEEG bone channels were planned for the superior portion of two pig craniums using surgical planning software and a frameless, navigated technique. The trajectories were planned to avoid cortical blood vessels using magnetic resonance angiography. Each trajectory was converted into a series of circular paths to cut bone channels. The cutting strategy for each hole involved two modes: a remaining bone thickness mode and a cut through mode (CTR). The remaining bone thickness mode is an automatic coarse approach where the cutting depth is measured in real time using optical coherence tomography (OCT). In this mode, a pre-set measurement, in mm, of the remaining bone is left over by automatically comparing the bone thickness from computed tomography with the OCT depth. In the CTR mode, the cut through at lower cutting energies is managed by observing the cutting site with real-time video.Results: Both anesthesia protocols did not show any irregularities. In total, 19 bone channels were cut in both specimens. All channels were executed according to the planned cutting strategy using the frameless navigation of the robot-driven laser device. The dura showed minor damage after one laser beam and severe damage after two and three laser beams. The cortex was not damaged. As soon as the cut through was obtained, we observed that moderate cerebrospinal fluid leakage impeded the cutting efficiency and interfered with the visualization for depth control. The coaxial camera showed a live video feed in which cut through of the bone could be identified in 84%.Conclusion: Inflowing cerebrospinal fluid disturbed OCT signals, and, therefore, the current CTR method could not be reliably applied. Video imaging is a candidate for observing a successful cut through. OCT and video imaging may be used for depth control to implement an updated SEEG bone channel cutting strategy in the future.