Fuzzy PID Compound Control Research Articles

Multilayer decoupling control of photovoltaic integrated heat pump based on expected value

Abstract In this paper, a multilayer decoupling control method for photovoltaic heat pumps based on expected values is proposed, which aims to achieve the optimal operation of the photovoltaic heat pump system and photovoltaic heat pump system. This method predicts the output energy of photovoltaic photovoltaic system and realizes multilayer decoupling control based on the load demand of the heat pump system. In order to adapt to the change in environment, the adaptive fuzzy PID compound control method is adopted to optimize the control strategy. Experimental results show that this method can effectively improve the system efficiency, reduce energy consumption, and demonstrate good adaptability and stability.

Compensation control strategy of hybrid driven three-dimensional elliptical vibration assisted cutting system based on piezoelectric hysteresis model

Three-dimensional elliptical vibration assisted cutting (3D-EVC) technology has been widely used in many high-precision technical fields due to its high-efficiency processing characteristics. However, the hysteresis and nonlinearity caused by the piezoelectric drive in the 3D-EVC system will impact the system control accuracy. This paper mainly studies the hysteresis and nonlinearity of the system, the feedforward-gray predicted fuzzy PID compound controller based on the generalized Bouc-Wen hysteresis nonlinear model and it is designed to realize the hysteresis compensation of the system. In this paper, input voltage and output displacement are represented by a mathematical relationship, and this relationship of the 3D-EVC system will be described by the generalized Bouc-Wen model. The improved flower pollination algorithm (IFPASO) is adopted in the identification process of parameters. A compound control strategy is formed based on traditional feed-forward control combined with fuzzy PID feedback control to compensate for hysteresis and nonlinearity, and an improved gray prediction model is introduced into the feedback loop. The 3D-EVC system tracking experiment verifies the effectiveness of the designed compound controller. Experiments have proved that the hysteresis component of the system is significantly reduced after the use of the compound controller for hysteresis compensation, and the system has a higher degree of stability.

Development of Lower Computer for Hydraulically Actuated Quadruped Bionic Robots Based on DSP

Background: Hydraulic quadruped robots have broad application prospects. Control system design is the core content of robot design. However, the micro-controllers used in the past have shortcomings such as long sampling period and simple algorithm. Methods: An electric control system of the layered, distributed structure for hydraulically actuated quadruped robots is designed considering a dog as a bionic model. In order to improve the response time and the steady precision of the system at the same time, a Fuzzy–PID compound control algorithm is put forward in this paper. The hardware and software of the control system are designed. Results: The lower computer’s control system for hydraulically actuated quadruped robots is developed using TMS320F28335 in series of DSP2000 as the core processor. Outside control circuit expands some external chips, such as AD7606, AD5754R, and PCA82C250, and a peripheral interface circuit is designed. Taking full advantage of the efficient processing power of the chip and the rich on-chip resources, the hardware circuit is simpler and reliable, and the software is also easy to implement. It is verified that the control system is rational and effective using experiments. Conclusions: The experimental results show that the control system designed in this paper is reasonable and can effectively control the joints of the quadruped robot. It has strong scalability and can meet the basic requirements of the autonomous mobile robot control system.

Research on Stellar Spectrum Simulation Method Based on Genetic Algorithm and Fuzzy PID Composite Control

For the current spectral simulation based on Digital Micromirror, the spectral simulation unit has different bias properties and nonlinear modulation, which leads to the lack of a spectral simulation method for multiple color temperature modulation. In this paper, a stellar spectrum simulation method based on Genetic Algorithm and fuzzy PID compound control was proposed. It analyzed the composition and working principle of the stellar spectrum simulation system, designed the corresponding matrix algorithm, studied the compound control spectral simulation algorithm of Genetic Algorithm and fuzzy PID, constructed a dual-input, three-output fuzzy PID controller architecture, and designed the Genetic Algorithm dual-optimized fuzzy PID control algorithm. In this research, an experimental platform was built to verify the generalization and simulation accuracy of the Genetic Algorithm and fuzzy PID compound control stellar spectrum simulation method based on the 2500K-10000K color temperature spectral curve as the target. The results indicated that the error of 2500K-10000K spectral simulation was between -2.91% and 2.94%, and the error of spectral curve area simulation was between -0.18% and 0.22%.As the smoothing of the star spectrum curves fails to verify the simulation ability of detailed characteristics such as peaks and troughs, the AM1.5 solar spectrum is taken as the simulation object, which verifies the performance of the star spectrum simulation method based on a genetic algorithm and a fuzzy PID integration.On this basis, the AM1.5 solar spectrum was taken as the simulation target to verify the ability to simulate detailed features such as wave peaks and troughs based on Genetic Algorithm with fuzzy PID compound control stellar spectrum simulation method. The results revealed that the accuracy of the single-point spectral simulation of AM1.5 solar spectrum is -5.76%, and the spectral curve area simulation error is 0.07%. The proposed method has the ability to simulate a wide range of color temperature targets with high accuracy. It has the ability to simulate detailed features such as wave peaks and troughs. It can provide a theoretical and technical basis for the ground calibration of the high-precision star sensor development.

MR-SAS and electric power steering variable universe fuzzy PID integrated control

In order to solve the problem of MR-SAS and electric power steering (EPS) integrated control, the suspension and steering system integrated dynamic model was established, and the variable universe fuzzy PID integrated controller was designed. Due to the difficulty of self-adaptive and the superiority of compound control of fuzzy control, the variable universe fuzzy PID compound controller based on fuzzy inference was designed. The fuzzy on–off control based on trapezoidal membership function was used to the fuzzy control and PID control. And the random road input and steering wheel angle step input simulation experiment was carried out in the integrated system. Compared with the passive system and separate control, experimental results show that the integrated control system has obvious superiority.

Intelligent control model and its simulation of flue temperature in coke oven

In this paper, one-variable linear regression mathematical model of top of regenerator temperature and flue temperature in machine side is built using the linear regress theory. The parameters of ARX model is determined by identification method of least square method and the mathematical model of flue temperature control is established. Applying the basis cascade control theory, system adopts flue temperature and coal flue gas flow as controlled parameters of host circuit and subsidiary circuit respectively. The compound Fuzzy-PID control strategy is presented combined with the characteristics of temperature system after analyzing the conventional PID control algorithm and fuzzy control algorithm. Using step signal and periodic signal to simulate the conventional PID and compound Fuzzy-PID algorithm, the result has indicated: Compound Fuzzy PID control algorithm combines with the advantages of fuzzy control and PID control algorithm, including fast response speed and strong anti-interference ability. When external conditions change, the fuzzy PID compound control can show the strong adaptability and robustness which effectively improve the stability of the control system.

Study on Treatment of Wastewater System Based on ARM

In this paper, ARM processor and real-time embedded operating system will be used in controlling system of sewage disposal, compared with the traditional controlling system of sewage disposal online PLC, not only improved the timeliness, reliability and scalability, but also enhanced the system speed. While, in order to control the low-cost, the Fuzzy-PID compound control algorithm used to control the amount of purifying agent, the algorithm can be adapt to the nonlinear and time-varying and improve accuracy. In this paper, the application of Matlab software to carry on the simulation experiment, proved the feasibility and effectiveness of the algorithm at last.

Simulation of Main Steam Temperature Control System Based on Fuzzy PID and Improved Smith Predictor

The main steam temperature process has the characteristics of large inertia, large time delay and time-variation , to solve this problem, the fuzzy PID cascade control system with Smith predictor is presented .The improved Smith predictor with the effect of filtering was used in the main loop of the cascade control system, and fuzzy PID compound controller was used as the main controller based on the advantage of fuzzy control and PID. Through establishing the mathematical model and simulating the main steam temperature control system, either the parameter changed or invariable, the results show that the method can improve the control qualities and enhance the robustness and stability of the control system.

Simulations Research on Smith Predictive Adaptive Fuzzy-PID Compound Controller in the Temperature Control System of Microchip Level PCR Instrument

Study on the temperature controlling optimization problem of a novel microchip level PCR instrument, a compound control scheme based on Smith predictive and adaptive Fuzzy-PID is presented. Because the temperature control system of microchip level PCR instrument is a time-varying, non-linear and pure time delay complex system, to achieve the different temperature zones rapid switching and the temperature precision controlling is easy to be affected by time delay factor, it may encounter problems such as large overshoot, and even poor stability in the control of system with time delay. In this system, Smith predictable compensation control temperature algorithm should be adopted to decrease the overshooting and oscillating, adaptive Fuzzy-PID control temperature algorithm should be adopted to solve the problem of low precision and poor capability because of the fuzzy rules roughness. The simulation results show that the Smith predictive adaptive Fuzzy-PID temperature control algorithm has the fast response, high precision temperature controlling and strong robust properties, and it can provide a reference for the intelligent temperature control system design of microchip level PCR instrument. Keywords: Microchip level PCR instrument; Smith prediction; Adaptive Fuzzy-PID controlling algorithm; Temperature control system

Research on Fuzzy-PID Compound Control in Inverter-Driven Energy-Saving Technology for Injection Molding Machine

the modern Inverter-driven technology has been applied in energy-saving control for injection molding machine. Aimming at the complex control of system because of its multiple input multiple output, strongly nonlinearity, some volatility parameters and uncertainty factor , the adaptive fuzzy PID compound control is put forward from the viewpoint of energy-conditioning. Using the above method, the control system have better dynamic characteristics and stability, strong robustness and adaptability. Experiment results show that the method can effectively improve energy-saving technology for the injection molding machine.

Design of Fuzzy PID Compound Control for Ultrasonic Motor Based on DDS Technology

Driving and control are key techniques to improving performance and application of ultrasonic motor. Based on ultrasonic motor’s special structure and principle in this paper, considering the issue that modulating frequency is not widely to traditional motor’s power, it is introduced to a digital power supply based on DDS technology; considering the difficulty that ultrasonic motor’s model can not be created precisely, a fuzzy PID compound controller is designed. Simulation results show that the DDS power supply is reliable, whose frequency can be modulated easily. Fuzzy PID compound controller has summed up advantages of fuzzy and PID, which is suitable for speed and position control of ultrasonic motor.