Advanced Materials Research Vol. 1037

Abstract: For the instability of the inverted pendulum, a LQR controller is designed based on optimal control algorithm in this paper, which can control the pendulum angle and the cart position at the same time. The basic principle of LQR optimal control is analyzed and the LQR controller is designed and simulated in this paper. The simulation results show that the designed controller is effective. It has a good effect of equilibrium and stability control, and the system's anti-interference ability is improved.

Abstract: PID control is the most common control method used in process control. The PID control parameters tuning methods are develop constantly. At present, in numerous tuning methods, there are mainly two methods applied better in the practical industrial process. One is based on pattern identification (based on rules); the other is based on relay feedback (based on model). They are collectively referred to as intelligent PID parameter tuning method. This paper studies on the PID parameter auto-tuning methods and introduces the results of the latest research on this subject. Finally, the development direction of auto-tuning PID controller was also prospected.

Abstract: This paper proposes a wheeled robot design based on IMM algorithm , aiming at how to achieve the optimization of path planning. Obstacle detecting and avoidance method for mobile robot are implemented with the photoelectric sensors. Then IMM algorithm for path planning is introduced and the simulation results in the MATLAB software show that the method of introducing IMM into mobile robot is convenient. By this means, the path planning is well optimized in real-time way for wheeled mobile robot.

Abstract: Along with the lack gradually of fossil energy,people began to pay attention to the using of solar energy that easy to obtain and no pollution. Today,a lot of vehicle-mounted systems have begin to use solar photovoltaic panels.But with the driving of vehicle, photovoltaic panels often can’t face to the sun ,unable to get enough direct sunlight. In order to change the fact,writer designed a new system.In this system, we use ambient light detection module and MCU to locate the sun,then MCU controls two motors to make the photovoltaic panel change its orientation,so vehicle-mounted solar photovoltaic panel can change orientation automatically with the light.

Abstract: Based on laser sintering constituency as the research object, this paper aimed at the perspective of artificial intelligence technology. It uses the new control theory and research method of BP neural network algorithm and tries to provide reference for optimizing the sintering process of laser district. This paper argues that the application of artificial intelligence technology to laser sintering constituency. Through the simulation, it can make up for the inadequacy of the traditional control method. Under certain conditions, the goal of process optimization will be achieved by finding the optimal parameters.

Abstract: The main aim of this paper is improve the high voltage electrostatic separation efficiency of roll-type electrostatic separator. To this end, a method of controlling the roller to obtain the best rotate speed was introduced. Experiments of system design were performed on 315-2DP type Programmable Logic Controller (PLC) produced by Siemens, E6B2 - CWZ6C encoder provided by Omron and MM440 converter obtained from Siemens. According to the nature differences of the separation particles, presetting the roller rotation speed in the upper machine. Then it is downloaded to the PLC. Through the tail encoder of the motor to receive the signals, calculating the roller speed and feedback to the PLC to control the converter, then formed a closed-loop control system of the motor speed.

Abstract: In order to improve the automation level of the electrostatic precipitator, we used Very-High-Speed Integrated Circuit Hardware Description Language (VHDL) language to compile, emulate and optimize the control system of power source and vibration. In the design of Quartus platform, we used EP1C3T144C8 Field Programmable Gate Array (FPGA) chip to realize high voltage power supply, alarm and protection system. We also realized the compilation and simulation test of each part’s function of 20 s rapping and 40 min rapping cycle. At the same time, we recorded the waveform of simulation. It demonstrated that the validity of the relevant VHDL compilation. We used this method to achieve the optimization control of the electrostatic precipitator operating parameters. It has a strong practicability.

Abstract: Liquor fermentation is a complex biochemical process, to control the temperature of fermentation tank fastly and accurately in the process can improve the efficiency and quality of fermentation .Because of the nonlinear and time lag of the process, meanwhile the conventional PID control and is difficult to solve practical problems in precise control,So this paper puts forward a fuzzy predictive controlling method, by combining the advantages of fuzzy control and predictive control for big lag, nonlinear fermentation systems.After using MATLAB to make comparative data simulation, the result shows that the proposed design method can better dynamic and static characteristics of both system, with static characteristic small overshoot, fast response, high steady precision, etc, can be useful in industrial control systems.

Abstract: The turbine prime mover and its control system have a significant impact on the dynamic stability and long-term stability of power system. On calculation of power system stability, the calculation results have great difference when using different model and parameters of prime mover and its speed governor control system. We can choose the mathematical models and parameters which can reflect the actual running status of equipment in order to make the calculation result is true and reliable. This paper takes a hydropower station as an example, determines the mathematical model and the parameter which can be used for power system stability calculation through the adoption of modeling, parameter identification and testing methods to its prime mover, excitation system and governor system.

Abstract: The bearingless induction motor is a nonlinear, multi-variable and strongly coupling system. In this paper, a new nonlinear internal model control (IMC) strategy based on inverse system theory is proposed to realize the decoupling control for the bearingless induction motor. The mathematical model of the motor is built and then the inverse system method is applied to decouple the original nonlinear system. Finally the internal model control method is introduced to ensure the robustness of the closed-loop system. The effectiveness of the proposed strategy are demonstrated by simulation.