Abstract: A method for designing and tuning a PID process controller includes approximating a process as a second order process but in a manner that includes the effects or characteristics introduced by various different devices in the I/O network, and using a lambda tuning method to determine tuning parameters or coefficients for the PID controller. The enhanced controller design and tuning method provides a systematic manner of achieving performance improvement of PID controllers within a process control system and is effective at overcoming challenges arising from signal aliasing, the use of anti-aliasing filtering and the effects of different I/O settings of both traditional and advanced I/O marshalling architectures.

Abstract: A ladder display system includes: a first controller having a first ladder program; and a second controller having a second ladder program that performs input/output processing with the first ladder program. An input/output signal table generating unit generates an input/output signal table relating an input/output signal of the first ladder program to an input/output signal of the second ladder program. An external reference execution unit specifies a signal of the second ladder program and requests transmission of at least a part of the first ladder program. A ladder program output unit transmits at least a part of the first ladder program including a signal corresponding to the specified signal to the second controller. A ladder program display unit displays at least the part of the first ladder program output by the ladder program output unit on the second controller.

Abstract: The present application provides a control method and device for an air conditioning unit, the method including: obtaining a return air temperature, a condensation temperature, an evaporation temperature, compressor parameters, and fan parameters of the air conditioning unit; determining a preset evaporation temperature according to the return air temperature, the condonation temperature, the evaporation temperature, the compressor parameters, the fan parameters, a compressor power curve, and a fan power curve, wherein the sum of a compressor power and a fan power is minimized at the preset evaporation temperature; determining a preset compressor frequency and a preset fan frequency corresponding to the preset evaporation temperature according to the compressor power curve and the fan power curve; controlling a compressor according to the preset compressor frequency; and controlling a fan according to the preset fan frequency.

Abstract: This method for acquiring weld pass information pertaining to execution conditions for a weld pass for welding two workpieces, which are to be welded by the welding robot, includes: a step in which a weld pass for welding the two workpieces is extracted from 3D CAD data; a step in which a wall determination model having a predetermined 3D shape is prepared; a step in which the wall determination model is positioned in the direction extending towards the outside of the weld pass, the end of welding which is the starting point or ending point of the weld pass serving as a reference; and a step in which, for the positioned wall determination model, a determination is made as to whether there is interference from a wall surface demarcated by another member different from the two workpieces.

Abstract: A temperature control unit according to one or more embodiments may include an acquisition unit that is configured to acquire an operation amount from a controller, and an SSR control unit that is configured to perform time proportional output of an instruction to drive or stop a heater to SSR after reflecting the operation amount.

Abstract: A control system and a control method are provided. A control device in the control system includes a computation processing unit related to control of a control target, a collection unit that executes a process of collecting data associated with the control target, and a monitoring processing unit that executes a process of monitoring a state of the control target and includes a feature quantity generation unit that executes a process for generating a feature quantity from the collected data, and a detection unit that executes a for detecting an abnormality occurring in the control target using the generated feature quantity and an abnormality detection parameter suitable for detection of an abnormality occurring in the control target that is set based on a result of machine learning. An information processing device executes emulation of the monitoring process using the data associated with the control target from the control device.

Abstract: This disclosure provides a window controller that includes a command-voltage generator that generates a command voltage signal, and a pulse-width-modulated-signal generator that generates a pulse-width-modulated signal based on the command voltage signal. The pulse-width-modulated signal drives an optically-switchable device. The pulse-width-modulated signal comprises a first power component having a first duty cycle and a second power component having a second duty cycle. The first component delivers a first pulse during each active portion of the first duty cycle, and the second component delivers a second pulse during each active portion of the second duty cycle. The first pulses are applied to a first conductive layer and the second pulses are applied to a second conductive layer. The relative durations of the active portions and the relative durations of the first and second pulses are adjusted to result in a change in an effective DC voltage applied across the optically-switchable device.