ADRC-IMC strategy of PMSM control system based on improved <i>fal</i> function

Vertical launching technology can effectively improve the performance of antiaircraft missile, which can reduce the preparative time for antiaircraft missile to attack the targets. The scheme of vertical launching control system is present. The autopilot of missile has used the angle of pitch, yaw and roll as the feedback signal. The missile can flight to any direction from the vertical launching state by controlling the Euler angle of the missile. The model of the antiaircraft missile which has used multiple controls of aerodynamic actuator and TVC (thrust vector control) is given, and then the flight control system has been designed by using linear quadratic regulator (LQR) theory. Finally it is proved by simulation that the performance of the vertical launching control system can meet the requirement and the scheme of the control system is feasible.

This study investigates a new hybrid energy storage system (HESS), which consists of a battery bank and an ultra-capacitor (UC) bank, and a control strategy for this system. The proposed topology uses a bi-directional DC-DC converter with a lower power rating than those used in the traditional HESS topology. The proposed HESS has four operating modes, and the proposed control strategy chooses the appropriate operating mode and regulates the distribution of power between the battery bank and the UC bank. Additionally, the control system prevents surges during mode switching and ensures that both the battery bank and the bi-directional DC-DC converter operate within their power limits. The proposed HESS is used to improve the performance of an existing power-split hybrid electric vehicle (HEV). A method for calculating the parameters of the proposed HESS is presented. A simulation model of the proposed HESS and control strategy was developed, and a scaled-down experimental platform was constructed. The results of the simulations and the experiments provide strong evidence for the feasibility of the proposed topology and the control strategy. The performance of the HESS is not influenced by the power limits of the bi-directional DC-DC converter.

The flux-modulated compound-structure permanent magnet synchronous machine (CS-PMSM), composed of a brushless double rotor machine (DRM) and a conventional permanent magnet synchronous machine (PMSM), is a power split device for plug-in hybrid electric vehicles. In this paper, its operating principle and mathematical model are introduced. A modified current controller with decoupled state feedback is proposed and verified. The system control strategy is simulated in Matlab, and the feasibility of the control system is proven. To improve fuel economy, an energy management strategy based on fuzzy logic controller is proposed and evaluated by the Urban Dynamometer Driving Schedule (UDDS) drive cycle. The results show that the total energy consumption is similar to that of Prius 2012.

The subject of the research is the development of technologies for automated and automatic ship traffic control systems, which is of great importance in modern shipping conditions. At the same time, special attention is paid to intelligent control systems based on artificial intelligence methods, such as artificial neural networks, fuzzy logic, machine learning, evolutionary computing and genetic algorithms. As a result, integrated information navigation systems, which provide decision-making on all aspects of navigation tasks, primarily where reception, processing, storage and transmission of navigation information is required, are being created and widely used in practice. However, in such developments, due importance is not given to the human factor, namely, it is often not taken into account that the control system of a moving object is a man-machine and consists of a regulator, which includes a human operator (navigator). The inclusion of the navigator in the vessel control link leads to the need to simultaneously take into account the human factor and the characteristics of the vessel controllability, i. e. human and machine factors in their unity. In connection with the development of artificial intelligence, the concept of “human-machine symbiosis” is becoming increasingly relevant in the study of human-machine systems. The problem is that there is still no single point of view on this issue due to the lack of reasonable methods for taking into account the human factor in the process of controlling the movement of moving objects. The results of the theoretical research on the formalization of some aspects of human mental activity and their implementation in the conceptual scheme of an intelligent vessel control system are reflected in the paper. The results obtained may be of interest to specialists in vessel traffic control automation, artificial intelligence, the creation of intelligent control systems and navigation safety.

A study was conducted to assess the energy performance of an optimal predictive control strategy for radiant floor district heating systems. A four-zone radiant floor heating system model was developed. The simulated performance of the optimal predictive control strategy was studied. The results showed 10% energy savings compared to a Proportional-Integral (PI) control strategy. Experiments were conducted in a laboratory radiant floor district heating system test facility. The description of the test facility, its operating conditions, and the results obtained are described. Experimental results further confirm the findings from the simulation study. Being simple and energy efficient, the optimal predictive control strategy is a good candidate control strategy for radiant floor district heating systems. Practical application: Energy efficiency is a major issue of interest in the design and operation of sustainable heating systems. The radiant floor district heating systems have been successfully installed and operated in many countries resulting in significant energy savings. The optimal predictive control strategy proposed in this study further enhances the potential for higher energy savings from the district heating systems. The optimal control strategy is simple to implement as it relies on the predicted outdoor air temperature and computes future temperature set-points for the boiler water temperature. A suitably tuned Proportional-Integral (PI) controller can be used to track the optimal set-point thus realizing potential energy savings. A programmable logic controller or a supervisory control system would be appropriate to implement the designed optimal control strategy. The local control can be realized by using industrial PI feedback controllers.

The Effects of Strategy-Management Control System Misfits on Firm Performance

Based on domestic and foreign research situations of variable-rate fertilizing technology, the overall structure and working mechanism of variable-rate fertilizing machine were described, control content and strategy of control system were studied, AT89C5 SCM was used as a core control element in control system, control system hardware and software were designed and integrated. Variable-rate fertilizing experiments in space and paddy field showed that working efficiency of the spreader was up to 6 hm2/h, fertilizing error was less than 5%, fertilizing stability variation coefficient was less than 6.2%, working performance and control system design of the fertilizer can satisfy the demand of variable-rate fertilization in paddy field.

Subject. This article deals with the theoretical and practical issues related to the construction of a domestic financial control system and the formation of its elements (components). Objectives. The article aims to determine the main features of the functioning and development of the domestic financial control system, identify the elements (components) of the proposed system with the justification for classifying them as types of control, develop a scheme of the financial control system pointing out input and output values, the target function, as well as determine the goals, objectives and principles of building a domestic financial control system. Methods. For the study, we used the systems and logical approaches, and the general scientific cognition methods. Results. On the basis of the categorical analysis, the article clarifies the main elements (components) of the modern system of domestic financial control, its goals, objectives and principles of construction. It also formulates the need to build a modern system of domestic financial control, determines the main features of its functioning and development, identifies the elements (components) of the proposed system with the justification for classifying them as types of control, offers an author-developed scheme of the financial control system pointing out input and output values, and the target function. Relevance. The results obtained can be used in the activities of control and audit offices, forensic units, audit organizations and tax authorities during examination, control and audit.

The greenhouse environment control system is a type of non-linear system since the temperature and humidity of the system are highly coupled. Besides, the time lag of the temperature and humidity control process is large, so it’s quite difficult to linearize and decouple the temperature and humidity of the system. To cope with this issue, this paper proposed a novel control strategy for greenhouse environment control system based on Back Propagation Neural Network (BPNN) and inverse model, the proposed method can perform inverse identification on the temperature and humidity control system to attain higher accuracy. Then, the inverse model and the original system were connected in series to form a pseudo linear system to realize the decoupled control of temperature and humidity. After that, aiming at the impact of some non-linear factors on the greenhouse environment system, this paper adopted the adaptive fuzzy Proportion Integration Differentiation (PID) controller to enhance the adaptability of the system, thereby reducing control error and the interference caused by non-linear factors of the temperature and humidity control system. At last, the experimental results showed that, the temperature error of the system could be controlled within 1.2℃ and the error of relative humidity was less than 2.5%. The proposed method can improve the control effect of the greenhouse environment to a certain extent, and it provides a novel approach of greenhouse control.

The suspension system of the 12/14 bearingless switched reluctance motor (BSRM) exhibits inherent time-varying characteristics owing to the salient pole structure of its rotor. However, existing control strategies tend to overlook these timevarying characteristics, resulting in reduced suspension performances, including accuracy and resistance to interference. In response, this study explores a control strategy for addressing the time-varying nature of the suspension system. The timevarying characteristics of the suspension system are initially revealed through finite element analysis and mathematical model representation. Subsequently, a double closed-loop control system for suspension force is designed, including a time-invariant suspension force model (TISFM) and a data driven fuzzy sliding mode observer (DDFSMO). The TISFM is used to conduct a timeinvariant direct suspension force control system, whereas the DDFSMO is designed on the basis of the TISFM to compensate for the error between the TISFM and complete suspension force model (CSFM). The time-varying suspension control system is successfully converted into a time-invariant one by the combined action of the TISFM and DDFSMO. Finally, the validity of the proposed control strategy for time-varying suspension system is validated.

Dynamic voltage restorer (DVR) has been demonstrated to be a very effective mechanism to deal with key voltage-quality disturbances. Although the dynamic response requirement for voltage sag could be satisfied by a feedforward control strategy, the voltage-quality requirement and zero-error tracking need an advanced feedback control strategy. This paper proposes a d-q transformation and proportional-resonant (PR) control based feedback control strategy for DVR system. Through d-q transformation, the fundamental component is transformed into DC signal; the 6k±1th harmonic components are transformed into 6kth signals. Compared with the similar control strategy in stationary frame, the control system would only need two proportional-integral (PI) controllers for fundamental voltage control and two PR controller for each order harmonics in rotating frame. So the proposed control system is significantly simplified, open-loop and close-loop control system analysis provide a way for parameters design. The simulation on MATLAB Simulink demonstrates the validity and superiority of proposed control strategy.

The cyclogyro, due to its potential applications in aviation and complex dynamic characteristics, has become the focus of our research. Although traditional PID control is effective in many cases, it may struggle in handling the complex nonlinear dynamics often encountered in cyclogyro systems. Therefore, the objective of this study was to design and implement a control system for the cyclogyro based on optimized strategies to improve the system stability and response speed. The proposed approach integrates mathematical modeling, optimization algorithms, real-time data analysis, and feedback mechanisms to predict and adjust the system behavior. The performance of traditional PID control was compared with that of Model Predictive Control (MPC) in a dual-target speed control system. The numerical simulation results demonstrated that the MPC-based optimized control significantly outperformed PID control, achieving higher stability and faster response speed when dealing with external disturbances and nonlinear dynamic changes, with the average response time reduced by 92.5% (p < 1e-10). This enhanced performance is due to the system’s ability to dynamically adjust its control strategies in response to varying environmental conditions. The conclusions of this research highlight the substantial advantages of optimized control strategies for cyclogyro systems, offering new insights into the development of complex aviation control systems and demonstrating the potential of these strategies to enhance both performance and adaptability.

Sensitivity identification enhanced control strategy for nonlinear process systems

With the development of electric driving systems, the synchronization control system of multiple motors has been used widely in many industry fields recently. The research on the synchronized control technique of multiple motors is getting more and more important. This paper focuses on the synchronization control strategy of multi-motor control system based on PROFIBUS fieldbus. In this paper, the development of the synchronization control technique of multi-motor system is summarized. The model structure of synchronization control system of multi-motor based on PROFIBUS-DP fieldbus is proposed. MS (master-slave) communication mode is adopted. Specially, the synchronization control strategy based on this network control system is analyzed and described. It includes four parts. The first, in order to assign intelligently the given speed of each motor which in the slave station, a BP neural network arithmetic controller is set up in the DP master station. The next, in order to realize high precision control to the single motor, an adaptive double mode fuzzy PID arithmetic is adopted in the intelligent slave station. The third, the sync/freeze control method in virtue of PLC system function is adopted when the DP master transfers its command of synchronization execution to its distributed intelligent slave stations. The last, a short step control method of output frequency is adopted for the converter in the process of start and stop of motor to reduce the ill influence of some factors of equipments. It is the trend of development for the synchronization control of multiple motors to combine the technology of fieldbus with the technology of motor driving control. The analysis result of this paper can offer effective reference for the control of congener equipments. It is quite useful for actual application.

In this article author discuss investigation of control valve flow channel with regulating element equipped with meshed screens set on it. The issue provides engineers and scientist with the results of a series of experiments without using of flow noise muffler at the control system scheme.The main idea is to obtain technical information on how to exclude the flow noise muffler from the control system's scheme. Such kind of knowledge is considered to be necessary for the following application in the feed water flow control systems meeting modern and next generation requirements of regulatory documents on vibration and flow noise characteristics.It is discussed the research of the feed water control valve at the test bench mostly. There were designed a several types of scheme for flow channel construction with different meshed screens and they arrangements into it, flow restriction circuits, cartridge constructions etc. It was chosen the two-step pressure reducing scheme of flow channel after the theoretical analysis, which then was produced and fitted with meshed screens at both steps.It is said in the article that the results of discovery bring out the useless of perforated rubber elements implementation into the flow channel construction. They do not make any effect on the acoustic field of control valve. Besides, application of elastic elements makes difficulties for the manufacturing of flow channel and considered as low reliable.The issue provides reader with the information on flow noise level and its excess over the established level by the control valve under study. It is shown how to refine the flow channel construction with regulating element up to the modern and next generation requirements. Also, the proposal of how to exclude flow noise muffler from the schemes of control systems are listed.