in recent years, need to increase the convenience of trips in railway vehicles causes that train operators and manufacturers focus on reducing the noise level which is sensed by passengers. in this paper, first the state of modeling acoustic noise in cab train is discussed and natural frequencies and acoustic mode shapes are derived and then formulation of acoustic pressure in the cab will be o...

Since the PID tuning formula of Ziegler-Nichols step test, perhaps the best known, the process control literature is still showing lots of PID control schemes to improve the closed-loop stability. In this paper, using the relationship between the PID and generalized minimum variance (GMV) controller and adjusting online the control weighting factor by an adaptive learning algorithm of first-ord...

PID control algorithm is widely used in servo control system. Because of the non-symmetrical structure of the hydraulic cylinders in the angle position electric-hydraulic servo system of plant converter, the conventional PID control has low control precision and bad flexibility. To solve the problem, an improved digital PID control algorithm with variable sampling periods is proposed. Based on ...

In this paper, a thorough mathematical analysis is proposed for designing and tuning fuzzy proportional ± integral± derivative (FZ-PID) control in order to achieve a better performance and simpler design. The quantitative model of FZ-PID, derived for the mathematical analysis and gain design, consists of a nonlinear relay and a nonlinear proportional ± integral ± derivative (PID) controller. Th...

Kalman and PID controller are used to design UAV (Unmanned Air Vehicles) formation flight control system for speed and pitch angle. UAV adjusted the PID parameters to realize control stability of UAV flight. The simulation results will show that Kalman and PID controller have better dynamic performance than the traditional controller in respect of simpler design, higher precision, easier implem...

The paper evaluates the performance of cascaded PID controller designs for the temperature control of an industrial heating furnace. From the control theory literature it is clear that ideal PID controller is an obsolete for the control of non-linear processes like temperature. PID controller in cascaded architecture is the best choice compared to conventional single loop control system for con...

Parallel robots exhibit good performance in terms of rigidity, accuracy, and dynamic characteristics. However, parallel robots have complex configurations and their dynamic model is highly nonlinear, and conventional PID controllers are not sufficiently robust for their motion control. In this paper, we have investigated the intelligent control of a hydraulically driven parallel robot based on ...

In this paper conventional PID controller provides satisfactory results, still inefficiency persists due to extreme nonlinear nature and uncertainty in the dynamics of the plant. So optimize the pid non linear behavior by Gravitational search algorithm and particle swarm optimization. The PID controller is the most common form of feedback. PID control issued at the lowest level; the multivariab...

This paper introduces an optimal fuzzy proportional–integral–derivative (PID) controller. The fuzzy PID controller is a discrete-time version of the conventional PID controller, which preserves the same linear structure of the proportional, integral, and derivative parts but has constant coefficient yet self-tuned control gains. Fuzzy logic is employed only for the design; the resulting control...

PID controller is the most widely used controller in industry for control applications due to its simple structure and easy parameter adjusting.But increase in complexity of control systems has introduced many modified PID controllers.The recent advancement in fractional order calculus has introduced fractional order PID controller and it has recieved a great attention for researchers.Fractiona...