scholarly journals SYNTHESIS AND ANALYSIS OF THE CONCENTRATION CONTROL SYSTEM IN THE CHEMICAL REACTOR ON THE BASIS OF THE STATE CONTROLLER

2019 ◽  
Vol 2019 (4) ◽  
pp. 4-11
Author(s):  
Aleksandr Labutin ◽  
Yuliya Zagarinskaya ◽  
Vladimir Nevinitsyn ◽  
Galina Volkova
Keyword(s):  
Control System ◽  
Control Method ◽  
Chemical Reactor ◽  
The State ◽  
Modal Control ◽  
Control Error ◽  
Integral Component ◽  
State Controller

The paper deals with the synthesis of a singlechannel control system of concentration vector in a liquidphase chemical reactor using a state controller. Settings of the state controller are determined using the modal control method. An integral component was introduced into the structure of the state controller to eliminate the static control error and ensure the robustness of the control system.

scholarly journals Synthesis and modeling of the multidimensional technological object control system on the state regulator basis

Vestnik IGEU ◽  
2020 ◽  
pp. 57-64
Author(s):  
A.N. Labutin ◽  
Yu.N. Zagarinskaya ◽  
V.Yu. Nevinitsyn ◽  
G.V. Volkova ◽  
V.A. Zaitsev
Keyword(s):  
Computer Simulation ◽  
Control System ◽  
Automatic Control ◽  
Control Systems ◽  
State Vector ◽  
Chemical Reactor ◽  
The State ◽  
Static Error ◽  
Integral Component ◽  
State Regulator

The problem of structural-parametric synthesis of automatic control systems (ACS) of technological objects is deter-mined by the multi-dimensionality, multi-connectedness and nonlinearity of their mathematical models. Despite the indicated properties of such objects, traditional linear systems based on PID-algorithms are still used for process control. Since the synthesis of linear systems using input-output models does not take into account the multi-dimensionality and mutual influence of state coordinates, such systems increase the influence of parametric and signal perturbations on the quality of control processes. The increasing requirements for the quality and efficiency of technological processes control made it expedient to apply the control principle by the state vector based on the use of uninertial state regulators or combined state regulators including flexible feedback on the derivative state coordinates or state coordinate integrals. The research uses methods of system analysis of technological processes as control objects, methods of automatic control theory, methods of control systems synthesis on the state regulators basis, meth-ods of computer simulation. The linearized mathematical model of liquid-phase chemical reactor in the state space has been obtained. It has been established that the investigated object has the property of free movement stability and it is fully controlled in the state space. The problem of synthesis of a single-channel concentration vector control system in a chemical reactor using state regulator has been solved. The parameters of state regulator settings have been determined using the method of modal control. The efficiency of the automatic control system on the basis of the state regulator with an integral component has been shown using the method of computer simulation of the ‘nonlinear object – linear control subsystem’ complex. It has been demonstrated that the absence of an integral component in the control algorithm structure leads to a great static error of regulation. To eliminate the static error of control and ensure the robustness of the control system, it is recommended to introduce an integral component into the structure of state controller. This ensures the efficiency of the control system both for the case of complete measurement of the state vector and for the case of measurement of the output controlled variable only.

scholarly journals MODAL CONTROL OF FEEDING PROCESSES IN THE MEDIUM OF STATE SPACE AND WAVELET TRANSFORMS

2019 ◽  
pp. 46-58
Author(s):  
Anna Alekseevna Simikova ◽  
Boris Andreevich Fedosenkov ◽  
Denis Borisovich Fedosenkov
Keyword(s):  
Control System ◽  
State Space ◽  
Real Time ◽  
Flow Rate ◽  
The State ◽  
Transient Processes ◽  
Modal Control ◽  
Frequency Distributions ◽  
Time Frequency ◽  
Computer Aided

The article presents the essential aspects of designing and operational functioning of computer-aided modal control systems, using the example of a control system for feeding processes in а mixture-producing set. The object of study is the structure of feeding devices unit and transient processes during feeding. The subjects of research are the issues of designing and creating a computer-aided modal control system ( CMCS ) which operates in the mode of tunable parametrically non-stationary in frequency transient processes ( TP ). In this case, the scalar signals of the feeding devices ( FD ) material flows are formed in terms of the state space method (in the format of the internal models “input-state-output”), and monitoring of such processes is carried out in the time-frequency wavelet medium. The latter makes it possible to analyze the processes occurring in the CMCS at a semantically transparent and information-saturated level. The parameters (pulse signal off-duty ratios) of the Fourier model for the signals of a discrete-type feeder are presented, on which the nature of the dosing process depends. A model of the feeders unit is formed in terms of the state space. The 1 D -flow rate signals and their representations in the form of time-frequency distributions ( W -maps) are considered. A new concept was developed for flow rate modal control of the feeding devices unit in the frame of the mixture-producing set by introducing the definition of parametric non-stationary state of the feeding devices internal environment that takes into account the real-time variation of the multidimensional state feedback coefficient during transients in the system and for the purpose of experimental estimation of transients parameters ( here: time constants), they are determined by flow signal distributions on W -maps. The wavelet medium used in the system deals with Cohen’s class time-frequency distributions (Wigner-Ville and Choi-Williams transformations). The combination of TP -models in terms of the state space and their representation in the Wigner distribution format allows one to evaluate, set and reassign the parameters of the internal structure of the object controlled (a separate feeder or feeding devices unit) in real time in order to achieve the effect of stabilizing the ingredients flow rate in a rated mode at pre-mixing stage. The transient modes are presented in the form of processes restoring the rated modes (the so-called reverse TP) . A procedure has been developed and described for the implementation of a modal control algorithm for the feeding process, including the technology of forced localization and relocalization of the object poles under non-stationary processes in the “Executive mechanism- FD ” system, using the example of a continuous-type feeder in a transient mode on load decrease (with a downward reverse transitional process). For this mode, the calculation of the non-stationary matrix of the modal controller is presented.

scholarly journals The Neural Network-Combined Optimal Control System of Induction Motor

2019 ◽  
Vol 9 (4) ◽  
pp. 2513
Author(s):  
Thang Nguyen Trong
Keyword(s):  
Neural Network ◽  
Optimal Control ◽  
Control System ◽  
Induction Motor ◽  
Control Method ◽  
Response Speed ◽  
The State ◽  
Linear Quadratic ◽  
Neuron Network ◽  
The Neural Network

<span lang="EN-US">This research aims to propose the optimal control method combined with the neuron network for an induction motor. In the proposed system, the induction motor is a nonlinear object which is controlled at each working point. At these working-points, the state equation of the induction motor is linear, so it is possible to apply the linear quadratic regular algorithm for the induction motor. Therefore, the parameters of the state feedback controller are the functions. The output-input relationships of these functions are set through the neural network. The numerical simulation results show that the quality of the control system of the induction motor is very high: The response speed always follows the desired speed with the short transition time and the small overshoot. Furthermore, the system is robust in the case of changing the load torque, and the parameters of the induction motor are incorrectly defined</span>

Control of coagulation process by dual wavelength article analyzer

1997 ◽  
Vol 36 (4) ◽  
pp. 135-142 ◽  
Author(s):  
Norihito Tambo ◽  
Yoshihiko Matsui ◽  
Ken-ichi Kurotani ◽  
Masakazu Kubota ◽  
Hirohide Akiyama ◽  
...  
Keyword(s):  
Water Quality ◽  
Control System ◽  
Predictive Control ◽  
Control Method ◽  
Feedforward Control ◽  
Raw Water ◽  
Floc Size ◽  
Coagulation Process ◽  
Series Of Experiments ◽  
Size Data

A coagulation process for water purification plants mainly uses feedforward control based on raw water quality and empirical data and requires operator's help. We developed a new floc sensor for measuring floc size in a flush mixer to be used for floc control. A control system using model predictive control was developed on the floc size data. A series of experiments was performed to confirm controllability of settled water quality by controlling flush mixer floc size. An automatic control with feedback from the coagulation process was evaluated as practical and reliable. Finally this new control method was applied for actual plant and evaluated as practical.

Independent wheel control system design for highly automated driving

2021 ◽  
pp. 095440702110065
Author(s):  
Shihuan Li ◽  
Lei Wang
Keyword(s):  
Control System ◽  
Control Method ◽  
Autonomous Driving ◽  
Control System Design ◽  
Steering Control ◽  
Automated Driving ◽  
Accuracy And Precision ◽  
Actual Observation ◽  
Control Scheme ◽  
Interference Measurement

For L4 and above autonomous driving levels, the automatic control system has been redundantly designed, and a new steering control method based on brake has been proposed; a new dual-track model has been established through multiple driving tests. The axle part of the model was improved, the accuracy of the transfer function of the model was verified again through acceleration-slide tests; a controller based on interference measurement was designed on the basis of the model, and the relationships between the controller parameters was discussed. Through the linearization of the controller, the robustness of uncertain automobile parameters is discussed; the control scheme is tested and verified through group driving test, and the results prove that the accuracy and precision of the controller meet the requirements, the robustness stability is good. Moreover, the predicted value of the model fits well with the actual observation value, the proposal of this method provides a new idea for avoiding car out of control.

scholarly journals Electromagnetic Actuator System Using Witty Control System

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 65
Author(s):  
Der-Fa Chen ◽  
Shen-Pao-Chi Chiu ◽  
An-Bang Cheng ◽  
Jung-Chu Ting
Keyword(s):  
Control System ◽  
Control Method ◽  
Search Algorithm ◽  
Electromagnetic Actuator ◽  
Control Performance ◽  
Learning Capability ◽  
Learning Rates ◽  
Agricultural Applications ◽  
Actuator System ◽  
Rice Milling

Electromagnetic actuator systems composed of an induction servo motor (ISM) drive system and a rice milling machine system have widely been used in agricultural applications. In order to achieve a finer control performance, a witty control system using a revised recurrent Jacobi polynomial neural network (RRJPNN) control and two remunerated controls with an altered bat search algorithm (ABSA) method is proposed to control electromagnetic actuator systems. The witty control system with finer learning capability can fulfill the RRJPNN control, which involves an attunement law, two remunerated controls, which have two evaluation laws, and a dominator control. Based on the Lyapunov stability principle, the attunement law in the RRJPNN control and two evaluation laws in the two remunerated controls are derived. Moreover, the ABSA method can acquire the adjustable learning rates to quicken convergence of weights. Finally, the proposed control method exhibits a finer control performance that is confirmed by experimental results.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

Sign in / Sign up

Export Citation Format

Share Document