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The predictive function control (PFC) with PID of a hydraulic robot system is presented with actions of random disturbance and uncertain parameters, such as the hydraulic nature frequency, the hydraulic damping factor and external load disturbance, and the feature which is characteristic parameter is greatly varied with the hydraulic robot system work state, the external load and environment. This...
This paper provides an adaptive PID controller based on back propagation (BP) neural network applied to pressure control of hydraulic system. The controller has many advantages like that more convenient in parameter regulating, better robust, more independence and adaptability in the hydraulic system. According the requirements of system performance, this paper discussed the corresponding learning...
A new control scheme based on neural network and traditional PID controller is proposed to improve the performance of precision stage in SPMs. The mathematical model is set up by analyzing the principle of the piezoelectric actuator. Mechanical parameters are identified online by a neural estimator. The traditional PID controller is replaced by a neural network PID controller. Weights in the network...
Large variations of the control variable add to plant wear and tear. In view of this fact, this paper provides a plant-friendly PID controller design method by minimizing the weighted sum of the integral of squared time-weighted error and the integral of squared time-weighted derivative of the control variable with respect to a step set-point change. The robustness of the system is guaranteed by a...
The linear servo motor drive of high-voltage circuit breaker is designed to realize the opening and closing operation, by which the quicker response ability and the better performance can be obtained. The control system simulation model is developed. Then the hardware of the controller and the control strategy of moving contact based on DSP are designed. Control algorithm of Single neuron PID and...
Magnetic suspension system is a typical non-linear hysteretic system. A kind of technology, which combines the permanent magnet and the electromagnetism, is presented for its characteristics and can obviously reduce power consumption. In order to solve the impact of the change of current in magnet coils on the overall rigidity, a double closed loop control system, which introduces the current loop...
SPIDNN (single-output proportional integral derivative neural network) control is the dynamic integration of neural network with PID. PID neural network control system was only applied to the system which has PID prior knowledge. For improving and expanding its using range, the improved algorithm was proposed on the basis of analyzing of the structure, the algorithm and its stability based on the...
The stable constraint conditions of cascade PID controller were obtained by generalized Hermite-Biehler theorem, and an optimal controller was researched. Through mind evolutionary algorithm(MEA), optimal cascade PID controller parameters were found. According to the defects lying in mind evolutionary algorithm, the niche technique is developed to improve MEA in this paper. The swarm is classified...
Control of wind turbine generator system is very complicated because of the fluctuation and intermittence of wind speed and the complexity of power electronics. In classical control, the controller design needs accurate mathematical model, but this kind of model of the wind turbine generator system is very difficult to get because of the nonlinear characteristics. In order to obtain the maximum wind...
Distribution Static Compensator (DSTATCOM) is a shunt compensation device which is generally used to solve power quality problems in distribution systems. In distribution power system, these power quality problems mainly arise due to the pulsed loads, which causes the degradation of the entire system performance. The control strategy of DSTATCOM plays an important role to meet the objectives. A novel...
A new stable artificial immune self-tuning PID control scheme is proposed. The model is adapted by artificial immune clustering algorithm to learn plant dynamic change, while the PID control parameters are adapted by the Lyapunov method to minimize a cost function. Therefore, the model output is guaranteed to converge to the desired trajectory asymptotically, and the plant output also tracks the desired...
For multi-parameter coupling nonlinear welding process, a new algorithm is presented in this paper, which combines expert rules and neural network to achieve optimal matching of PID parameters. Almost all parameters of BP network are researched and analyzed to improve the convergence rate and stability. Five expert rules, including network structure optimization, activation function improvement, weight...
In order to solve the difficult problem of large ship in track keeping and turning control, an improved control strategy for direct track intelligent control method is brought forward. The advantages of fuzzy control and PID control are made full use of and fuzzy PID control is applied on direct track control. Besides, a novel turning control strategy is adopted at turning point. Based on the above...
Because hydroelectric generating unit system is a non-linear, varying with time and high steps system, conventional PID controller cannot get better controlling performance in the control of hydroelectric generating unit system. In order to overcome the shortcoming of conventional controller, neural network is used to optimize PID control parameters and identify the character of hydroelectric generating...
Introduce a precision fuzzy self-adaptive PID control system in semiconductor laser. Output wavelength of semiconductor laser has temperature drift with temperature changing. It affects semiconductor laser accuracy and service life. In order to enable the semiconductor laser work stably, maintain its temperature stability, design this system using MATLAB Toolbox. Adjusting effect of temperature system...
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