Proportional control

About: Proportional control is a research topic. Over the lifetime, 3756 publications have been published within this topic receiving 49050 citations.

Particle swarm optimisation-based parameters optimisation of PID controller for load frequency control of multi-area reheat thermal power systems

Abstract: The current study presents the load frequency control (LFC) of multi-area reheat thermal power system with proportional-integral-derivative (PID) controller. The interconnected control areas are provided with a single stage reheat turbine in all areas. The proportional gain (KP), integral gain (KI) and derivative gain (KD) values of the PID controller are simultaneously optimised using recent and powerful evolutionary computational intelligence technique, namely the particle swarm optimisation (PSO) algorithm. The superiority of the PSO-based PID controller has been proved by comparing its performance to recent modern optimisation techniques such as hill climbing (HC) algorithm and genetic algorithm (GA) tuned controllers for the same multi-area thermal power system. For the analysis, the time domain specification and 1% step load perturbation (1% SLP) are considered in thermal area 1. The simulation result showed that the proposed PSO-based PID controller provides superior dynamic response over other optimisation technique (HC and GA)-based PID controller.

Microprocessor-Based Fuzzy Decentralized Control of 2-D Piezo-Driven Systems

Abstract: In this paper, the trajectory tracking of a 2-D piezo-driven system (2DPDS) using microprocessor-based fuzzy decentralized control (MBFDC) is developed. It is known that the piezoelectric actuator contains hysteresis, which is not one-to-one mapping and memoryless nonlinearity. Due to this nonlinearity and the coupling characteristic of the 2DPDS, an effective decentralized control is difficult to design. From the very beginning, the suitable coefficients of switching surface are assigned to stabilize the dynamics of switching surface and to shape the response of tracking error. Based on the data of input/output, two scaling factors are employed to normalize the switching surface and its derivative. According to the concept of if-then rule, an appropriate rule table for the ith subsystem is then achieved. This table is skew symmetric about the diagonal line; the absolute value of this table is proportional to the distance to the diagonal line. According to the system stability, the output-scaling factor is determined. Finally, a sequence of experiments including the trajectory tracking using MBFDC, proportional-integral-differential control, and classic fuzzy control is carried out to confirm the usefulness of the proposed control system.

Dynamics and control of an electro-hydraulic fully flexible valve actuation system

Abstract: As the internal combustion engine moves into the 21/sup st/ century, fully flexible valve actuation (FFVA) systems are being proposed as an enabling technology for advanced internal combustion engine concepts. This paper focuses on exploring the dynamics and control of an electro-hydraulic fully flexible valve actuation system. Challenges and approaches for developing variable valve actuation systems are first outlined and discussed. Dynamic model of the electro-hydraulic actuator was obtained based on experimental data. A robust repetitive controller is then designed and implemented using a dSpace system. We are able to achieve valve profile tracking errors within 140 microns for a 9.5 mm lift at engine speed up to 3000 rpm. To demonstrate the flexibility and robustness of the system, we show real-time valve-lift profiles used to explore advanced combustion technologies.

Optimal System Design of SISO-Servopneumatic Positioning Drives

Abstract: Servopneumatic actuators are very attractive for automated handling tasks or robot operations. They have many advantages such as high speed, high robustness in rough manufacturing environment or high power-to-weight ratio. The considered actuator system is a standard configuration in pneumatics consisting of a double acting pneumatic cylinder controlled by a proportional directional control valve. For the set-up a detailed mathematical model is derived. In order to guarantee an accurate tracking behaviour, a model-based nonlinear controller is presented. Model based approaches for the control design have several advantages. Tuning of the controller can be reached in a systematic way even in the case of a large variety of different configurations. But not only the control design itself can be treated. The model offers the possibility to optimize the size of components for demanded automation tasks. In most cases, this is solved based on steady state assumptions. In this contribution, a method for a design procedure for the pneumatic actuator system based on the dynamic equation is presented. With the representation of the system, an optimization procedure for the components is introduced. The optimization criteria consist of the minimization of the air consumption and investment costs.