This paper describes new approaches to generalized predictive control formulated in the delta. Generalized predictive control gpc ready for use in drive applications. Shows how one can combine the predictions and a performance index in order to form a gpc control law. In this work, the rls algorithm was extended to also cater for selftuning of the. Research on chlorine dosing control based on adaptive. Model predictive control mpc is an advanced method of process control that is used to control a process while satisfying a set of constraints.
Model predictive control mpc is a very popular controller design method in the process industry. Then, a new adaptive generalized predictive controller agpc for the electrohydraulic servo feeding system is provided. Generalized predictive control in a wireless networked. Introduction cascade control is one of the most popular structures for process control as it is a special architecture for dealing with disturbances. Model predictive controllers rely on dynamic models of.
Citeseerx citation query generalized predictive control. In this chapter, only linear generalized predictive. Current selftuning algorithms lack robustness to prior choices of either deadtime or model order. In this paper, multivariable adaptive generalized predictive controller based on smith predictor is proposed. A novel methodgeneralized predictive control or gpcis developed which is shown by simulation studies to be superior to accepted techniques such as generalized minimumvariance and poleplacement. Generalized predictive control parameter adaptation using. Generalized predictive control and neural generalized. It has been in use in the process industries in chemical plants and oil refineries since the 1980s. Abstract traditionally, the recursive least squares rls algorithm was used in the generalized predictive control gpc framework solely for model adaptation purposes. Model predictive control offers several important advantages. Generalized predictive control and neural generalized predictive. Hosseinisani assistant professor electrical engineering ferdowsiuniversity mashhad, iran 92. Mbpc techniques have been analyzed and implemented successfully in process control industries since the end of the 1970s and continue to be used because.
Properties of generalized predictive control sciencedirect. Control engineering 142 mpc concept mpc model predictive control also known as dmc dynamical matrix control gpc generalized predictive control rhc receding horizon control control algorithms based on numerically solving an optimization problem at each step constrained optimization typically qp or lp. Generalized predictive control gpc is the most popular approach to the subject, and this text discusses the application of gpc starting with the concept of longrange predictive control and its need in. Realtime adaptive control using neural generalized. Using characteristic model cm as predictive model in gpc can simplify the modeling procedure and improve computing efficiency of gpc. Generalized predictive control gpc belong to this family has been demonstrated as a powerful controlling process plants, in this work a polynomial approach of generalized predictive control is proposed whose aim to find optimal values for the tuning control and application of predictive control with polynomial form rst and application of. Lloyd abstract a method to adapt the generalized predictive control parameters to improve broadband disturbance rejection was developed and tested. The adaptive generalized predictive control is then applied to achieve set point tracking of the output of the plant. Generalized predictive control gpc ready for use in. Discretely generalized model predictive control ieee. Base flowrate was selected as the manipulated variable. Characteristic modelbased generalized predictive control.
Adaptive cascade generalized predictive control, model identification, cascade control 1. In view of the shortcomings of band saw feeding system on position and microfeeding speed tracking response characteristics, an electrohydraulic servo feeding system of band saw is designed and its difference mathematical model is presented. Adaptive generalized predictive control on electro. A linear model based generalized predictive control system controls the molten pool temperature during a direct metal deposition dmd process. In this paper, a hardware in the loop simulation hil is presented. The effect of the parameters on disturbance rejection. Generalized predictive control gpc modern predictive control. As model predictive control mpc relies on the predictive control using a multilayer feed forward network as the plants linear model is presented. Research article fractionalorder generalized predictive. Index terms fieldoriented control, predictive control, generalized predictive control gpc, model based predictive control mbpc, observer, induction machine i. Exploratory studies in generalized predictive control for.
This chapter describes one of the most popular predictive control algorithms. Research article fractionalorder generalized predictive control. Generalized predictive control free open source codes. Generalized predictive control gpc, introduced by clarke and his coworkers in 1987, belongs to a class of digital control methods called modelbased predictive control mbpc 4514. Nonlinear model predictive control for autonomous vehicles.
In this study, ph control of a neutralization process occurring in a tubular flow reactor with an input of weakacidstrongbase was investigated by using generalized predictive control method. A novel method generalized predictive control or gpcis developed which is shown by simulation studies to be superior to accepted techniques such as generalized minimumvariance and poleplacement. Pdf generalized predictive control gpcready for use. Gpc is a robust, can effectively overcome lag, can be applied to openloop unstable system advanced control algorithm for nonminimum phase system, using matlab to solve calculations for engine airfuel ratio control and can improve model accuracy prepositional problems, improve responsiveness and robustness, including description, source code, and related models, and so on. The principle of predictive control makes it attractive for many applications, either as linear or nonlinear control. Includes an aside on optimisation of multivariable functions. In industry, however, this is not a serious argument if better control performance can be reached. Pdf generalized predictive control gpcready for use in drive. Predictive control is a powerful tool in dealing with those processes with large time delays. Generalized predictive control parameter adaptation using a fuzzy logic approach john w. A variety of predictive controllers have been proposed e. Instead of the optimal predictor, the smith predictor with adaptive identifying parameters can increase the robustness of the mimo system. A novel methodgeneralized predictive control or gpcis.
A singleinput singleoutput linear system that describes the dynamics between the molten pool temperature and the laser power is identified and validated. Application for lowspeed control of gasolinepropelled cars m. As the development of new processors with increased performance takes place rather. In this paper, the adaptive generalized predictive control is designed to control a heat exchanger pilot plant. Generalized predictive control is a particular form of model predictive control, most often reserved to singleinput singleoutput systems described by their discretetime transfer function with. This paper presents a practical realization of generalized predictive control gpc for field oriented control of induction machines. It is widely used in practice, sometimes in a transparent way embedded into the electronics. Generalized predictive control and bioengineering crc. Pdf the generalized predictive control gpc law is derived in a tutorial presentation which includes critical analysis of the steps in the solution. This application is purposed as the first step before a real implementation of a generalized predictive control gpc on a. A new member of the family of longrange predictive controllers is shown to be suitable for the adaptive control of processes with varying parameters, deadtime.
In recent years it has also been used in power system balancing models and in power electronics. The designing of predictive model is the essential and vital problem in gpc application. The molten pool temperature is monitored by a twocolor pyrometer. Among these, generalized predictive control gpc, which was introduced in 1987 refs. Generalized predictive control gpc is the most popular approach to the subject, and this text discusses the application of gpc starting with the concept of longrange predictive control and its need in medi. Chlorine dosing is a complicated system with time delay, timevarying, nonlinear and coupling. This paper introduces a discretely generalized model predictive control mpc that allows terminal constraint sets, control laws and cost functions to depend on the current state. The standard generalized predictive control gpc algorithm is presented. Introduction during the last decades several proposals have been made to use predictive control algorithms for high performance systems. A usual argument against gpc is its demand for processing power. The method is developed in detail, showing the general procedure to obtain the control law and its most outstanding characteristics. Generalized predictive control gpc has been applied in systems to improve the control performance during the last decades. Looks at logical prediction structures for predictive control and the degrees of freedom within these. Generalized predictive control and neural generalized predictive control sadhana chidrawar, balasaheb patre 6 where, is the dead time of the system.
A direct adaptive generalized predictive control algorithm. Among his topics are model algorithmic control, generalized predictive control, state feedback synthesis approaches, openloop and closedloop optimizations in synthesis approaches, and output feedback synthesis approaches. An important advantage of mpc is that it allows the inclusion of constraints on the inputs and outputs. Generalized predictive control is a particular form of model predictive control, most often reserved to singleinput singleoutput systems described by their discretetime transfer function with influence of noise and disturbances. This chapter shows the relationship between the classical generalized predictive control gpc and the special case of synthesis approach.
1106 1567 1382 19 1143 918 1180 1085 804 1591 278 615 1092 416 374 602 6 1274 724 740 1584 534 110 761 265 1428 942 737 670 1345 1075 469 808 1059 987 553 1292 94 747 1239