On August 27, 2018 Adaplab signed an agreement (no. IZ-L-2018/11) with Investment and Development Agency of Latvia to acquire support within the framework of the program "Participation of startu...
Adaplab made it to the ABB Drives Innovation Challenge final! Around 100 companies submitted their ideas and technologies to participate in this challenge. Adaplab was among the 10 remaining ...
Компания Адаплаб приняла участие в главном мероприятии года Сколково - крупнейшей стартап-конференции России Startup Village. В рамках конференции мы представляли наши продукты на демон...
Компания Адаплаб приняла участие в конкурсе Техностарт 2015 в числе 20 финалистов. В рамках подготовки к конкурсу активно проводилась менторская сессия, где мы получили ценные советы эксперто...
Industrial digital controllers are used to control complex dynamic plants (processes) in different real-life applications such as power engineering systems, natural gas and petroleum industry, nuclear technology etc. Each controller operates in accordance with some control algorithm, which is depended on control objectives, properties and parameters of the plant, system uncertainties and external disturbances. The control algorithm is realized in some programming language (C, ST, etc) supported by concrete electronic device (embedded system). The only special software allows the embedded system became the status of control device (controller). That is why the term controller is closely related to the software that implements some control algorithm into the embedded system.
The main performance index of the control system is declination (control error) of the plant output from the reference signal, for instance, reference temperature of heating system or reference generator voltage. So, in real-life systems control errors imply heat and electric losses.
The control system parameters and dynamic properties of the plant vary with time due to changing of the operating modes. This implies large control errors. Therefore self-tuning control algorithms adaptive to changes of control system parameters need to be developed.
The conventional adaptation processes are not realizable if the plant operates under unknown large external disturbances. So, the existed adaptive controllers are inoperative in this case. These new frequency adaptive controllers work effectively even in the case of large external disturbances.
The adaptation process is based on plant identification and control synthesis. Identification of the plant parameters is complicated by variations of external loads (for example, fluctuations of ambient temperature of heating system or changing of power consumers), which are called by exogenous disturbances. These operation conditions require special control and identification algorithms. The proposed adaptive controllers are based on the new plant parameters identification method (finite-frequency identification) developed by project supervisor. The method uses harmonic test signal to reduce the influence of external disturbances on the identification result. The amplitude and the frequency of the test signal are self-tuned in such way that guarantees small variations of the plant output.
At the present time the frequency adaptive controllers PID-I and CHAR-25 are developed, patented and realized on the industrial platform WinCon-88341. The controllers were tested on the test-bed «OWEN- WinCon», where the industrial controller OWEN imitates the plant to be controlled.
The test results show the high effectiveness of the controllers.
We work on the implementation of adaptive controllers for real-life control systems. In particular, we use our controllers to control the processes of heating of bar for synthesis of superhard material (Technological Institute for Superhard and New Carbon Materials), for vacuum electric arc furnace (Metallurgical Plant “Electrostal”), for processes of heating of bar in induction furnace (JSCo “Machine building plant”).
We found Limited Liability Complany “ADAPLAB” for development and implementation of adaptive controllers. Complany «ADAPLAB» has a participant status of SKOLKOVO Innovation Centre. Our registration number at SKOLKOVO is 1120195. We develop new modifications of adaptive controllers. In particular, we develop frequency adaptive controllers for Multi-Input Multi-Output (MIMO) plants.
We conduct research in the field of adaptive control more than 30 years. The subjects of our research studies are: controller synthesis, identification, adaptive control. The results are published in the papers of professors A.G. Alexandrov, V.N. Chestnov, Yu. F. Orlov and their colleagues and ex-students.