#ifdef HAVE_STDLIB_H #include #endif #include #include #include #include #include "yagi.h" /* The function performance gives a performance rating for the antenna between 0 and 1, for use in a genetic algorithm to get performance. All parameters are roughly linear */ extern int errno; extern double Zo; double performance(struct flags flag, struct performance_data data, struct performance_data max, struct performance_data weight, struct performance_data start) { double a, x_err, fb,swr,product_of_weights; struct performance_data perform; double max_fb; int items=0; memset((char*) &perform,1,sizeof(perform)); /* perform.gain=1.0; perform.fb=1.0; perform.swr=1.0; perform.fb=1.0; perform.r=1.0; perform.x=1.0; perform.sidelobe=1.0; */ product_of_weights=1.0; weight.sidelobe/=100.0; /* To normalise the fitness, we must divide by the products of the weights, so this must be found. */ if(weight.gain!=0.0) product_of_weights=weight.gain; if(weight.fb!=0.0) product_of_weights*=weight.fb; if(weight.r!=0.0) product_of_weights*=weight.r; if(weight.x!=0.0) product_of_weights*=weight.x; if(weight.swr!=0.0) product_of_weights*=weight.swr; if(weight.sidelobe!=0.0) product_of_weights*=weight.sidelobe; if( ((flag.Wflg&GAIN)==GAIN) || ((flag.gflg&GAIN)==GAIN) ) { /* gain=pow(10.0,data.gain/10.0); start_gain=pow(10.0,(start.gain-1.0)/10.0); max_gain=pow(10.0,max.gain/10.0); if(gain>1.2*max_gain) gain=max_gain; perform.gain=weight.gain*(gain-start_gain)/(max_gain-start_gain); */ perform.gain=weight.gain*(data.gain-5)/(max.gain-5); /* printf("perform.g= %f g=%f\n", perform.gain, data.gain); */ if(perform.gain < 0) perform.gain=0.0; items++; } if( ((flag.Wflg&FB)==FB) || ((flag.gflg&FB)==FB) ) { fb=pow(10.0,data.fb/10.0); max_fb=pow(10.0,max.fb/10.0); if((fb>max_fb) &(!flag.Oflg)) fb=max_fb; perform.fb=weight.fb*fb/max_fb; items++; } if( ((flag.Wflg&RESISTANCE)==RESISTANCE) || ((flag.gflg&RESISTANCE)==RESISTANCE)) { perform.r=(1-pow(fabs(Zo-data.r)/Zo,0.25)); if(data.r<0.7*Zo || data.r > 1.4*Zo) perform.r/=10.0; items++; } if( ((flag.Wflg&REACTANCE)==REACTANCE) || ((flag.gflg&REACTANCE)==REACTANCE)) { x_err=fabs(data.x)/Zo; if(x_err > 1.0) x_err=1.0; perform.x=1-pow(x_err,0.28); items++; } if( ((flag.Wflg&VSWR)==VSWR) || ((flag.gflg&VSWR)==VSWR) ) { swr=data.swr; /* The follwing, fitness=(1-((swr-1)/(swr+1))^2), gives a fitness proportional to the fraction of power radiated, assuming all reflected power is absorbed. Unfortunately, it gives too high a# fitness to a poor VSWR, so was abandoned */ /* perform.swr=weight.swr*(1-pow((swr-1.0)/(swr+1.0),2.0) ) ; */ /* The folloing is an imperical relationship developed by me, by writing a number of VSWR's down (1.0, 1.1, 1.5, 2.0, 3.0 and infinity and writing down what I donsidered their fitness (1.0, 0.9, 0.8, 0.5 and 0.1) then fitting a polynomial thru em. The fitness dont work out exactly as above, but they seem reasonable. This has a maximum value of 0.98220 at VSWR=1.0, but I wont bother addeding the scale factor 1/.98220 = 1.0181, since this will not improve things - only slow the program a bit! */ /* perform.swr=2.86298/(swr*swr) - 1.88078/(swr*swr*swr); */ /* Another imperical one */ /* if(swr > 7.2925) perform.swr=1.0/(swr); else */ perform.swr=1.0-log10(swr); /* if(swr>7.76124) perform.swr=1.0/(swr*swr); else perform.swr=1.0-log10(swr); */ /* printf("swr=%f fit = %f\n", swr, perform.swr); */ items++; } if( ((flag.Wflg&SIDE_LOBE_LEVEL)==SIDE_LOBE_LEVEL) || ((flag.gflg&SIDE_LOBE_LEVEL)==SIDE_LOBE_LEVEL) ) { /* sidelobe_level=pow(10.0,data.sidelobe/10.0); max_sidelobe=pow(10.0,max.sidelobe/10.0); if((sidelobe_level>max_sidelobe) & !flag.Oflg) sidelobe_level=max_sidelobe; perform.sidelobe=weight.sidelobe*sidelobe_level/max_sidelobe; */ perform.sidelobe=weight.sidelobe*data.sidelobe/max.sidelobe; items++; } /* a=(perform.gain*perform.fb*perform.r*perform.x*perform.swr*perform.sidelobe)/product_of_weights; */ a=(perform.gain+perform.fb+perform.r+perform.x+perform.swr+perform.sidelobe)/(double) items; #ifdef DEBUG if(errno) { fprintf(stderr,"Errno =%d in perform.c\n", errno); exit(1); } #endif return(a); }